<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd"><article xml:lang="en" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.3"><front><journal-meta><journal-id journal-id-type="issn">2615-790X</journal-id><journal-title-group><journal-title>Tropical Animal Science Journal</journal-title><abbrev-journal-title>Trop. Anim. Sci. J.</abbrev-journal-title></journal-title-group><issn pub-type="epub">2615-790X</issn><issn pub-type="ppub">2615-787X</issn><publisher><publisher-name>Faculty of Animal Science, IPB University</publisher-name><publisher-loc>Indonesia</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.5398/tasj.2026.49.2.133</article-id><title-group><article-title>Epidemiology of Gastrointestinal Parasites in Beef Cattle at Baluran National Park Interface Area: Prevalence and Risk Factors</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7955-2411</contrib-id><name><surname>Indrasanti</surname><given-names>D.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3158-6625</contrib-id><name><surname>Subrata</surname><given-names>S. A.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8504-7558</contrib-id><name><surname>Artama</surname><given-names>W. T.</given-names></name><address><country>Indonesia</country><email>wayan.tartama@gmail.com</email></address><xref ref-type="aff" rid="AFF-1"></xref><xref ref-type="corresp" rid="cor-2"></xref></contrib></contrib-group><contrib-group><contrib contrib-type="editor"><name><surname>Wiryawan</surname><given-names>Prof. Dr. Komang G</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="EDITOR-AFF-1"></xref></contrib></contrib-group><aff id="AFF-1"><institution content-type="dept">Doctoral Study Program of Biotechnology, Postgraduate School</institution><institution-wrap><institution>Universitas Gadjah Mada</institution><institution-id institution-id-type="ror">https://ror.org/03ke6d638</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="AFF-2"><institution content-type="dept">Department of Wildlife Management, Faculty of Forestry</institution><institution-wrap><institution>Universitas Gadjah Mada</institution><institution-id institution-id-type="ror">https://ror.org/03ke6d638</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="EDITOR-AFF-1">Tropical Animal Science Journal</aff><author-notes><corresp id="cor-2">Corresponding author: W. T. Artama, Doctoral Study Program of Biotechnology, Postgraduate School, Universitas Gadjah Mada.  Email: <email>wayan.tartama@gmail.com</email></corresp></author-notes><pub-date date-type="pub" iso-8601-date="2026-2-11" publication-format="electronic"><day>11</day><month>2</month><year>2026</year></pub-date><pub-date publication-format="electronic" date-type="collection" iso-8601-date="2026-2-11"><day>11</day><month>2</month><year>2026</year></pub-date><volume>49</volume><issue>2</issue><issue-title>Tropical Animal Science Journal</issue-title><fpage>133</fpage><lpage>140</lpage><history><date date-type="received" iso-8601-date="2025-9-23"><day>23</day><month>9</month><year>2025</year></date></history><permissions><copyright-statement>Copyright (c) 2026 Tropical Animal Science Journal</copyright-statement><copyright-year>2026</copyright-year><copyright-holder>Tropical Animal Science Journal</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-sa/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by-sa/4.0/</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.Authors submitting manuscripts should understand and agree that copyright of manuscripts of the article shall be assigned/transferred to Tropical Animal Science Journal. The statement to release the copyright to Tropical Animal Science Journal is stated in Form A. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA) where Authors and Readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.</license-p></license></permissions><self-uri xlink:href="https://journal.ipb.ac.id/tasj/article/view/68562" xlink:title="Epidemiology of Gastrointestinal Parasites in Beef Cattle at Baluran National Park Interface Area: Prevalence and Risk Factors">Epidemiology of Gastrointestinal Parasites in Beef Cattle at Baluran National Park Interface Area: Prevalence and Risk Factors</self-uri><abstract><p>Beef cattle are commonly infected by gastrointestinal parasites, which impact productivity and cause economic losses. Therefore, this research aimed to analyze the prevalence and risk factors of gastrointestinal parasites in beef cattle at Baluran National Park (BNP). A cross-sectional design was used from June to December 2024, with random sampling in five areas of the BNP interface, namely Air Karang, Lempuyang, Merak, Sirondo, and Simacan. In this context, 166 feces samples were collected from 25 farms and analyzed using flotation and sedimentation methods. A survey was applied to collect information about farmers, management, environment, sanitation, and biosecurity. The results showed that 51.2% (85/166) of the sample were positive for eggs or oocysts of one or more species of gastrointestinal parasites. Furthermore, this research identified nine genera, namely <italic>Bunostomum</italic> spp. (7.2%), <italic>Cooperia</italic> spp. (15.6%), <italic>Haemonchus</italic> spp. (4.8%), <italic>Oesophagostomum</italic> spp. (9%), <italic>Ostertagia</italic> spp. (3.6%), <italic>Strongylus</italic> spp. (2.4%), <italic>Trichostrongylus</italic> spp. (12.6%), <italic>Fasciola</italic> spp. (4.8%), and <italic>Eimeria</italic> spp. (4.2%). The samples were infected with a single infection (78,82%), while the multiple infection rate was 21,18%. Chi-square and odds ratio test suggested that pen area (p = 0.001), grazing area (p = 0.010), BCS (0.034), contact with wild ruminants (p = 0.030; OR = 2.033), infrequent pen cleaning (p = 0.004; OR = 2.581), the presence of blood in feces (p = 0.005; OR = 4.084), and pen near from house (p = 0.049; OR = 0.488) were associated with infection risk. Gastrointestinal parasites in beef cattle at the Baluran National Park interface exhibit high diversity of parasite species and are closely associated with geographic location, forest-based grazing practices, and poor body condition of the cattle.</p></abstract><kwd-group><kwd>Baluran National Park</kwd><kwd>beef cattle</kwd><kwd>extensive</kwd><kwd>interface area</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2026</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>INTRODUCTION</title><p>Gastrointestinal parasites are commonly found in beef cattle and are a crucial health issue, particularly in tropical regions such as Indonesia <xref ref-type="bibr" rid="BIBR-28">(Nurcahyo et al., 2021)</xref>; <xref ref-type="bibr" rid="BIBR-26">(Ninditya et al., 2024)</xref>. These parasitic infections are caused by helminths and protozoa in the digestive tract of cattle, disrupting animal physiological functions, reducing feed efficiency, and affecting production and reproductive performance. The chronic cases can cause weight loss, diarrhea, and anemia, as well as increase mortality <xref ref-type="bibr" rid="BIBR-37">(Strydom et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-17">(Leon-Gonzalez et al., 2025)</xref>.</p><p>The prevalence of gastrointestinal parasitism is influenced by sanitation, hygiene, socioeconomic status, and environmental factors, namely temperature, rain, humidity, soil, altitude, sunlight, and wind <xref ref-type="bibr" rid="BIBR-7">(Banda et al., 2024)</xref>; <xref ref-type="bibr" rid="BIBR-1">(Abebaw et al., 2025)</xref>. The maintenance system, with the various management practices, affects the prevalence of parasitism. Cattle tend to defecate in grazing areas, polluting and spreading parasites through the fecal-oral route, which can increase contact between susceptible and infected livestock <xref ref-type="bibr" rid="BIBR-35">(Smith et al., 2009)</xref>; <xref ref-type="bibr" rid="BIBR-16">(Kumar et al., 2013)</xref>; <xref ref-type="bibr" rid="BIBR-8">(Bricarello et al., 2023)</xref>. According to <xref ref-type="bibr" rid="BIBR-18">(Maqbool et al., 2017)</xref>, a combination of treatment and improvement of the management system is the most appropriate step in parasite control.</p><p>The livestock system in Java is carried out intensively due to limited land availability. In Kalimantan, West Nusa Tenggara (NTB), and Bali, semiintensive and extensive livestock management systems have been developed <xref ref-type="bibr" rid="BIBR-14">(Hilmiati et al., 2024)</xref>; <xref ref-type="bibr" rid="BIBR-34">(Setianto et al., 2024)</xref>. In the northern part of Baluran National Park (BNP), East Java, Indonesia, there is a location bordering residential areas, where the livelihoods of livestock breeders intersect. This area has an arid climate due to its location on the shores of the Java Sea. Beef cattle are grazed daily into the forest to consume forage such as Synedrella nodiflora, Mikania micrantha, Bidens bipinnata, <italic>Cyanthillium cinereum</italic>,<italic> Dichantium queenslandicum</italic>,<italic> Dichantium caricosum</italic>,<italic> Digitaria longiflora</italic>,<italic> Brachiaria mutica, and Themeda triandra</italic><xref ref-type="bibr" rid="BIBR-44">(Wiyono et al., 2022)</xref>.</p><p>An extensive farming carries a high risk of exposure to parasite eggs and larvae in the grazing area <xref ref-type="bibr" rid="BIBR-12">(Hashim &amp; Yusof, 2016)</xref>; <xref rid="BIBR-29" ref-type="bibr">(Paul et al., 2020)</xref>; <xref ref-type="bibr" rid="BIBR-8">(Bricarello et al., 2023)</xref>. Low sanitation conditions in open pens, unmea-sured nutrient quality of forage, irregular deworming programs, and mixed grazing environments between beef cattle and wild ruminants from the forest can exacerbate the condition of beef cattle <xref ref-type="bibr" rid="BIBR-21">(Nakajima &amp; Yayota, 2019)</xref>; <xref ref-type="bibr" rid="BIBR-19">(McIntosh et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-27">(Nosal et al., 2025)</xref>. Regular deworming, implementing a rotation system in livestock grazing, and implementing biosecurity are some ways to control parasitism <xref ref-type="bibr" rid="BIBR-16">(Kumar et al., 2013)</xref><xref ref-type="bibr" rid="BIBR-11">(Greer et al., 2020)</xref><xref ref-type="bibr" rid="BIBR-27">(Nosal et al., 2025)</xref>. However, in the extensive grazing system at the BNP interface, this is difficult to implement due to challenges in handling livestock and limited land for rotational grazing. Therefore, research must be conducted to determine the prevalence and identification of gastrointestinal parasites in beef cattle, as well as to identify risk factors for livestock maintenance. Since no investigation related to the topic has been conducted, this research helps to address the management challenges of beef cattle maintenance and supports sustainable disease control strategies in the context of conservation and public health.</p></sec><sec><title>MATERIALS AND METHODS</title></sec><sec><title>Time and Place of Research</title><p>A cross-sectional design was used from March to December 2024. The research sites were all beef cattle farms in the interface area of BNP, Indonesia. The locations for sampling beef cattle feces were at 5 farms, namely Air Karang, Lempuyang, Merak, Simacan, and Sirondo. The location of the sampling points was determined using the Global Positioning System (GPS), and a map was created through ArcGIS version 10.8. This research was conducted in the interface area of BNP, located on the north coast of BNP (114°22’30.0” E; 7°50’0.0” S), Situbondo, East Java, Indonesia <xref ref-type="fig" rid="figure-1">Figure 1</xref>.</p><fig id="figure-1" ignoredToc=""><label>Figure 1</label><caption><p>Map of the research area at the interface area of Baluran National Park (BNP), East Java, Indonesia. BNP is lo-cated on the  northern  coast of BNP(114°22'30.0”E; 7°50'0.0”S), Situbondo, East Java, Indonesia.</p></caption><graphic mime-subtype="png" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68562/version/48986/33987/415443"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>Research Permit and Ethical Approval</title><p>This research has received permission from the Ministry of Environment and Forestry (Indonesian: Kementerian Lingkungan Hidup dan Kehutanan) through the Director General of the Directorate General of Nature Resources and Ecosystem Conservation (Indonesian: Direktorat Jenderal Konservasi Sumber Daya Alam dan Ekosistem, also known as Ditjen KSDAE), number: SK.28/KSDAE/SET.3/KSA.2/1/2024 on January 31, 2024. Furthermore, approval was granted by the Faculty of Veterinary Medicine, UGM, with Ethical Clearance (EC) number 33/EC-FKH/int./2024, dated May 27, 2024. This research also received a Conservation Area Entry Permit (SIMAKSI) from BNP, East Java, Indonesia, number: SI.119/T.37/TU/KSA.6/6/2024 dated June 14, 2024.</p></sec><sec><title>Sampling</title><p>Fecal samples were obtained using non-invasive sampling and were randomly collected at each location. The number of households and beef cattle grazing was approximately 300 and 1,500-1,600, respectively <xref ref-type="bibr" rid="BIBR-30">(Pudyatmoko, 2017)</xref>. The sample size was determined using the Slovin formula, n = N/(1 + Ne2), with a 90% confidence level <xref ref-type="bibr" rid="BIBR-2">(Adam, 2020)</xref>. The minimum sample size consisted of 98 cattle, with 24 respondents, leading to 166 fecal samples collected from 25 farmers. Sampling was carried out with the assistance of officers from the BNP. Furthermore, a cross-sectional research was conducted to collect social data by administering a questionnaire that included open-ended and closedended questions related to livestock management and risk factors for parasitic diseases. The survey respondents were residents in the interface area of BNP, and the majority were productive-aged beef cattle breeders (&gt;18 years old). Non-invasive sampling was conducted since beef cattle were grazed in the forest from morning to evening, and were very difficult to handle. Approximately 15 grams of freshly passed feces were obtained per head using a plastic spoon and sterile disposable gloves before storing in a clean bottle. Fecal samples were given 10% formalin before examination at the Type B Animal Health Laboratory in Purwokerto, Central Java, Indonesia.</p></sec><sec><title>Morphological Identification of Worms and Oocysts</title><p>A stool examination was conducted using 1) the flotation method to detect the presence of nematode worm eggs, cestode eggs, and coccidia oocysts of Eimeria spp. in feces, and 2) the sedimentation method to detect the presence of trematode eggs. The floatation method was carried out by weighing 5 g of feces and adding water up to 3⁄4 of the test tube. The solution was centrifuged at 1500 rpm for 5 minutes. The sediment was saved, and the liquid was discarded. Saturated sugar was added up to 3⁄4 of the tube and homogenized before centrifuging at 1500 rpm for 5 minutes. Furthermore, saturated sugar was added to the centrifuged result until the surface of the liquid was convex, and left for 5 minutes. The object glass was attached to the convex surface of the tube and quickly inverted. The liquid was covered with a cover glass and examined with a microscope at 400x magnification for morphological identification <xref ref-type="bibr" rid="BIBR-9">(Carta &amp; Carta, 2000)</xref>.</p><p>The sedimentation method was used on 3 g of the feces sample and up to 50 ml of water. The substance was stirred until homogeneous in the beaker glass and filtered through a 100-mesh sieve, then placed into a conical flask. Some water was added until the flask was full, and the flask was left for 5 minutes. The upper liquid was discarded, leaving only approximately 10 mL of filtrate. Water was added to the filtrate in the conical flask until full, and the mixture was left to stand for 5 minutes. The upper liquid was discarded again, and ± 5 mL of filtrate remained. The filtrate was poured into a petri dish or object glass, and a drop of methylene blue was added. Lastly, the solution was observed under a microscope at 100x magnification <xref ref-type="bibr" rid="BIBR-2">(Adam, 2020)</xref>.</p><p>The total of eggs or oocysts was calculated using a Whitlock counting chamber following <xref ref-type="bibr" rid="BIBR-36">(Storey, 2015)</xref> by homogenizing 3 g of feces and 60 ml of saturated sugar solution. The filtrate was placed in a Whitlock counting chamber, and it was allowed to wait for 5 minutes. Subsequently, an examination was carried out using a microscope at 400x magnification. The number of eggs and or oocysts was calculated using the formula: number of eggs (n) = number of eggs and oocysts counted x 10.</p></sec><sec><title>Data Analysis</title><p>The data were analyzed using descriptive statistics to identify gastrointestinal parasites. The prevalence of gastrointestinal parasites was measured using the formula prevalence (%) = (Number of positive samples/ Total number of samples examined) x 100 <xref ref-type="bibr" rid="BIBR-5">(Alcaterana et al., 2021)</xref><xref ref-type="bibr" rid="BIBR-3">(Ahmad et al., 2024)</xref>. Samples were notated as positive when one or more parasite eggs and/or oocysts were detected in the sample. The Chi-square test was used to evaluate the association of risk factors and infection. A p-value of less than 0.05 or a calculated Chi-square value greater than the Chi-square table value was considered statistically significant. The probability of parasitosis linked to the risk factor was analyzed by calculating the Odds Ratio. This approach ensured a comprehensive and accurate analysis of the risk factors associated with parasitic infections in cattle <xref ref-type="bibr" rid="BIBR-10">(Espinoza et al., 2024)</xref>. Data analysis was performed using SPSS software version 25.0.</p></sec><sec><title>RESULTS</title></sec><sec><title>Characteristics of Livestock Breeders in the Interface Area of Baluran National Park</title><p>A total of 25 farmers from several areas were interviewed. The sample consisted of farmers from Air Karang (2), Lempuyang (5), Merak (12), Simacan (5), and Sirondo (1). The majority of respondents had an average age above 40 years (56%), a maximum education of high school (96%), primary occupation as livestock breeders (72%), resided in the area for more than 10 years (96%), duration of livestock farming &gt; 2 years (88%), and income &lt; 1 million/month (40%). Beef cattle in the BNP interface area were grazed extensively in the forest from morning to evening, and the cattle were penned at night. Beef cattle feed and water were obtained daily from the forest. <xref ref-type="table" rid="table-1">Table 1</xref> shows the characteristics and ownership of livestock in the BNP interface area.</p><table-wrap id="table-1" ignoredToc=""><label>Table 1</label><caption><p>Data on respondent identity and livestock ownership in the interface area of Baluran National Park (BNP)</p></caption><table frame="box" rules="all"><thead><tr><th align="center" colspan="1" valign="top">Variables</th><th colspan="1" valign="top" align="center">n</th><th align="center" colspan="1" valign="top">%</th></tr></thead><tbody><tr><td colspan="1" valign="top" align="center">GenderMan</td><td valign="top" align="center" colspan="1">13</td><td valign="top" align="center" colspan="1">52</td></tr><tr><td align="center" colspan="1" valign="top">Woman</td><td valign="top" align="center" colspan="1">12</td><td align="center" colspan="1" valign="top">48</td></tr><tr><td align="center" colspan="1" valign="top">Age≤ 40 years</td><td align="center" colspan="1" valign="top">11</td><td valign="top" align="center" colspan="1">44</td></tr><tr><td align="center" colspan="1" valign="top">&gt; 40 years</td><td valign="top" align="center" colspan="1">14</td><td align="center" colspan="1" valign="top">56</td></tr><tr><td align="center" colspan="1" valign="top">EducationLow (≤ High school)</td><td align="center" colspan="1" valign="top">24</td><td valign="top" align="center" colspan="1">96</td></tr><tr><td align="center" colspan="1" valign="top">High (&gt; High school)</td><td align="center" colspan="1" valign="top">1</td><td align="center" colspan="1" valign="top">4</td></tr><tr><td colspan="1" valign="top" align="center">Main job Breeder</td><td valign="top" align="center" colspan="1">18</td><td align="center" colspan="1" valign="top">72</td></tr><tr><td align="center" colspan="1" valign="top">Other</td><td valign="top" align="center" colspan="1">7</td><td align="center" colspan="1" valign="top">28</td></tr><tr><td valign="top" align="center" colspan="1">Settlement time&lt; 10 years</td><td colspan="1" valign="top" align="center">1</td><td align="center" colspan="1" valign="top">4</td></tr><tr><td align="center" colspan="1" valign="top">&gt; 10 years</td><td align="center" colspan="1" valign="top">24</td><td align="center" colspan="1" valign="top">96</td></tr><tr><td align="center" colspan="1" valign="top">Number of ruminant livestock≤ 20 cattle</td><td colspan="1" valign="top" align="center">13</td><td valign="top" align="center" colspan="1">52</td></tr><tr><td colspan="1" valign="top" align="center">&gt; 20 cattle</td><td colspan="1" valign="top" align="center">12</td><td valign="top" align="center" colspan="1">48</td></tr><tr><td valign="top" align="center" colspan="1">Length of breeding≤ 2 years</td><td align="center" colspan="1" valign="top">1</td><td valign="top" align="center" colspan="1">4</td></tr><tr><td valign="top" align="center" colspan="1">&gt; 2 years</td><td align="center" colspan="1" valign="top">24</td><td valign="top" align="center" colspan="1">96</td></tr><tr><td align="center" colspan="1" valign="top">Purpose of livestock farmingMain livelihood</td><td align="center" colspan="1" valign="top">18</td><td align="center" colspan="1" valign="top">72</td></tr><tr><td colspan="1" valign="top" align="center">Side business</td><td align="center" colspan="1" valign="top">7</td><td valign="top" align="center" colspan="1">28</td></tr><tr><td valign="top" align="center" colspan="1">Income (in IDR)&lt; 1 million</td><td colspan="1" valign="top" align="center">10</td><td valign="top" align="center" colspan="1">40</td></tr><tr><td align="center" colspan="1" valign="top">1-2 million</td><td align="center" colspan="1" valign="top">8</td><td align="center" colspan="1" valign="top">32</td></tr><tr><td valign="top" align="center" colspan="1">&gt; 2 million</td><td valign="top" align="center" colspan="1">2</td><td valign="top" align="center" colspan="1">8</td></tr><tr><td valign="top" align="center" colspan="1">No answer</td><td valign="top" align="center" colspan="1">5</td><td align="center" colspan="1" valign="top">32</td></tr></tbody></table></table-wrap></sec><sec><title>Prevalence and Intensity of Gastrointestinal Parasites in Beef Cattle</title><p>The prevalence of gastrointestinal parasitism in beef cattle was 51.2%. The results showed that the parasites infecting beef cattle in the BNP interface area were nematodes, trematodes, and coccidia of the Eimeria spp. Furthermore, the types of parasites found were Bunostomum spp., Cooperia spp., Haemonchus spp., Oesophagostomum spp., Ostertagia spp., Strongylus spp., Trichostrongylus spp., Fasciola spp., and Eimeria spp. <xref ref-type="table" rid="table-4">Table 2</xref>. The highest prevalance was observed for <italic>Cooperia </italic>spp., and the lowest for <italic>Strongylus </italic>spp.</p><table-wrap ignoredToc="" id="table-4"><label>Table 2</label><caption><p>Prevalence of gastrointestinal parasite infections in beef cattle in the interface area of Baluran National Park (BNP)</p></caption><table frame="box" rules="all"><thead><tr><th valign="top" align="center" colspan="1">Parasites</th><th valign="top" align="center" colspan="1">Class</th><th align="center" colspan="1" valign="top">Number positive (%)</th><th valign="top" align="center" colspan="1">Range EPG or OPG</th><th valign="top" align="center" colspan="1">Median</th></tr></thead><tbody><tr><td colspan="1" valign="top" align="center">Bunostomum spp</td><td valign="top" align="center" colspan="1">Nematodes</td><td colspan="1" valign="top" align="center">12 (7.2%)</td><td valign="top" align="center" colspan="1">20-160</td><td align="center" colspan="1" valign="top">20*</td></tr><tr><td align="center" colspan="1" valign="top">Cooperia spp</td><td valign="top" align="center" colspan="1">Nematodes</td><td colspan="1" valign="top" align="center">26 (15.6%)</td><td colspan="1" valign="top" align="center">20-300</td><td valign="top" align="center" colspan="1">20*</td></tr><tr><td align="center" colspan="1" valign="top">Haemonchus spp</td><td align="center" colspan="1" valign="top">Nematodes</td><td align="center" colspan="1" valign="top">8 (4.8%)</td><td valign="top" align="center" colspan="1">20-120</td><td valign="top" align="center" colspan="1">60*</td></tr><tr><td valign="top" align="center" colspan="1">Oesophagostomum spp</td><td colspan="1" valign="top" align="center">Nematodes</td><td colspan="1" valign="top" align="center">15 (9%)</td><td colspan="1" valign="top" align="center">20-700</td><td valign="top" align="center" colspan="1">100*</td></tr><tr><td valign="top" align="center" colspan="1">Ostertagia spp</td><td valign="top" align="center" colspan="1">Nematodes</td><td colspan="1" valign="top" align="center">6 (3.6%)</td><td align="center" colspan="1" valign="top">20-80</td><td align="center" colspan="1" valign="top">20*</td></tr><tr><td align="center" colspan="1" valign="top">Strongylus spp</td><td valign="top" align="center" colspan="1">Nematodes</td><td align="center" colspan="1" valign="top">4 (2.4%)</td><td colspan="1" valign="top" align="center">20-40</td><td valign="top" align="center" colspan="1">20*</td></tr><tr><td valign="top" align="center" colspan="1">Trichostrongylus spp</td><td align="center" colspan="1" valign="top">Nematodes</td><td align="center" colspan="1" valign="top">21 (12.6%)</td><td align="center" colspan="1" valign="top">20-100</td><td valign="top" align="center" colspan="1">20*</td></tr><tr><td valign="top" align="center" colspan="1">Fasciola spp</td><td align="center" colspan="1" valign="top">Trematodes</td><td colspan="1" valign="top" align="center">8 (4.8%)</td><td valign="top" align="center" colspan="1">1-25</td><td colspan="1" valign="top" align="center">1*</td></tr><tr><td valign="top" align="center" colspan="1">Eimeria spp</td><td valign="top" align="center" colspan="1">Coccidia</td><td valign="top" align="center" colspan="1">7 (4.2%)</td><td valign="top" align="center" colspan="1">20-320</td><td valign="top" align="center" colspan="1">40*</td></tr></tbody></table><table-wrap-foot><p>Note: E/OPG = Eeg /oocyst per gram of feces. Degree of infection in nematodes and oocysts: Mild infection: 1-499 E/OPG*; Moderate infection: 500-5000 E/OPG**; Severe infection: &gt;5000 E/OPG*** (Thienpont et al., 1986). Degree of infection in trematode: Mild infection: 1-500 EPG*; Moderate infec-tion: 501-1000 EPG**; Severe infection: &gt;1000 EPG*** (Mpisana et al., 2022)</p></table-wrap-foot></table-wrap></sec><sec><title>Distribution of Gastrointestinal Parasites in Relation to Several Risk Factors for Beef Cattle</title><p>The incidence of gastrointestinal parasitism in beef cattle is significantly influenced by several risk factors, namely sampling location, grazing area, and body condition score (BCS) <xref ref-type="table" rid="table-2">Table 3</xref>. Air Karang (69.2%) and Merak (61.4%) areas had higher infection rates (&gt;60%) compared to others. Beef cattle grazed in Bilik had the highest infection rate at 84.2%. Meanwhile, cattle with a BCS of 1 had the highest parasite infection rate at 80% compared to others.</p><p>The distribution table for each sampling site is presented in <xref rid="table-3" ref-type="table">Table 4</xref>.This showed that the parasite type was not affected by the sampling site. However, Merak had the most varied types among the other farm locations.</p><table-wrap id="table-2" ignoredToc=""><label>Table 3</label><caption><p>Distribution of gastrointestinal parasites by location, maintenance pattern, grazing area, body condition score, and forage origin in the interface area of Baluran National Park (BNP)</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" valign="top" align="center">Different risk factor</th><th align="center" colspan="1" valign="top">Variables</th><th valign="top" align="center" colspan="1">Number of examined</th><th align="center" colspan="1" valign="top">Number of positives</th><th valign="top" align="center" colspan="1">Prevalence</th><th valign="top" align="center" colspan="1">Chi-square</th><th valign="top" align="center" colspan="1">p-value</th></tr></thead><tbody><tr><td align="center" colspan="1" valign="top">Study area </td><td align="center" colspan="1" valign="top">Air Karang</td><td valign="top" align="center" colspan="1">13</td><td valign="top" align="center" colspan="1">9</td><td valign="top" align="center" colspan="1">69.2%</td><td align="center" colspan="1" valign="top">19.205</td><td valign="top" align="center" colspan="1">0.001</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">Lempuyang </td><td align="center" colspan="1" valign="top">39</td><td align="center" colspan="1" valign="top">12</td><td align="center" colspan="1" valign="top">30.8%</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">Merak</td><td valign="top" align="center" colspan="1">88</td><td align="center" colspan="1" valign="top">54</td><td colspan="1" valign="top" align="center">61.4%</td><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top">Simacan </td><td colspan="1" valign="top" align="center">19</td><td colspan="1" valign="top" align="center">10</td><td colspan="1" valign="top" align="center">52.6%</td><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">Sirondo</td><td valign="top" align="center" colspan="1">7</td><td align="center" colspan="1" valign="top">0</td><td colspan="1" valign="top" align="center">0.0%</td><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td align="center" colspan="1" valign="top">Manitenance pattern</td><td align="center" colspan="1" valign="top">Intensive</td><td valign="top" align="center" colspan="1">6</td><td align="center" colspan="1" valign="top">3</td><td align="center" colspan="1" valign="top">50.0%</td><td align="center" colspan="1" valign="top">0.105356</td><td align="center" colspan="1" valign="top">0.94869</td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">Semi-Insentive </td><td valign="top" align="center" colspan="1">7</td><td valign="top" align="center" colspan="1">4</td><td valign="top" align="center" colspan="1">57.1%</td><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">Extensive (night shelter) </td><td align="center" colspan="1" valign="top">153</td><td valign="top" align="center" colspan="1">78</td><td align="center" colspan="1" valign="top">51.0%</td><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td align="center" colspan="1" valign="top">Grazing ground of cattle</td><td valign="top" align="center" colspan="1">Bilik</td><td align="center" colspan="1" valign="top">19</td><td align="center" colspan="1" valign="top">16</td><td valign="top" align="center" colspan="1">84.2%</td><td align="center" colspan="1" valign="top">14.949117</td><td align="center" colspan="1" valign="top">0.01058</td></tr><tr><td colspan="1" valign="top" align="center"></td><td align="center" colspan="1" valign="top">Mount Patik</td><td align="center" colspan="1" valign="top">13</td><td valign="top" align="center" colspan="1">9</td><td align="center" colspan="1" valign="top">69.2%</td><td align="center" colspan="1" valign="top"></td><td colspan="1" valign="top" align="center"></td></tr><tr><td colspan="1" valign="top" align="center"></td><td align="center" colspan="1" valign="top">Mount Malang</td><td align="center" colspan="1" valign="top">42</td><td align="center" colspan="1" valign="top">23</td><td valign="top" align="center" colspan="1">54.8%</td><td align="center" colspan="1" valign="top"></td><td colspan="1" valign="top" align="center"></td></tr><tr><td colspan="1" valign="top" align="center"></td><td valign="top" align="center" colspan="1">Twin Mountains</td><td valign="top" align="center" colspan="1">27</td><td valign="top" align="center" colspan="1">18</td><td valign="top" align="center" colspan="1">66.7%</td><td align="center" colspan="1" valign="top"></td><td colspan="1" valign="top" align="center"></td></tr><tr><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">Simacan Hill</td><td colspan="1" valign="top" align="center">26</td><td valign="top" align="center" colspan="1">10</td><td valign="top" align="center" colspan="1">38.5%</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">Mount Cabe</td><td valign="top" align="center" colspan="1">39</td><td valign="top" align="center" colspan="1">12</td><td valign="top" align="center" colspan="1">30.8%</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">1=very thin</td><td align="center" colspan="1" valign="top">5</td><td align="center" colspan="1" valign="top">4</td><td valign="top" align="center" colspan="1">80.0%</td><td valign="top" align="center" colspan="1">8.648486</td><td valign="top" align="center" colspan="1">0.03435</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">2-thin</td><td valign="top" align="center" colspan="1">10</td><td valign="top" align="center" colspan="1">5</td><td align="center" colspan="1" valign="top">50.0%</td><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">3=moderate/good</td><td valign="top" align="center" colspan="1">95</td><td valign="top" align="center" colspan="1">40</td><td align="center" colspan="1" valign="top">42.1%</td><td valign="top" align="center" colspan="1"></td><td colspan="1" valign="top" align="center"></td></tr><tr><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top">4=fat</td><td valign="top" align="center" colspan="1">56</td><td valign="top" align="center" colspan="1">36</td><td align="center" colspan="1" valign="top">64.3%</td><td valign="top" align="center" colspan="1"></td><td colspan="1" valign="top" align="center"></td></tr><tr><td align="center" colspan="1" valign="top">Origin of greens</td><td valign="top" align="center" colspan="1">Forest</td><td align="center" colspan="1" valign="top">142</td><td align="center" colspan="1" valign="top">78</td><td colspan="1" valign="top" align="center">54.9%</td><td valign="top" align="center" colspan="1">5.731669</td><td align="center" colspan="1" valign="top">0.05694</td></tr><tr><td valign="top" align="center" colspan="1"></td><td colspan="1" valign="top" align="center">Fields/rice Fields</td><td align="center" colspan="1" valign="top">15</td><td valign="top" align="center" colspan="1">5</td><td align="center" colspan="1" valign="top">33.3%</td><td colspan="1" valign="top" align="center"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top">Buy</td><td valign="top" align="center" colspan="1">9</td><td align="center" colspan="1" valign="top">2</td><td align="center" colspan="1" valign="top">22.2%</td><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">Shepherded</td><td valign="top" align="center" colspan="1">97</td><td valign="top" align="center" colspan="1">55</td><td valign="top" align="center" colspan="1">56.7%</td><td align="center" colspan="1" valign="top">3.558873</td><td align="center" colspan="1" valign="top">0.16873</td></tr><tr><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top">1 time a day</td><td align="center" colspan="1" valign="top">34</td><td valign="top" align="center" colspan="1">13</td><td align="center" colspan="1" valign="top">38.2%</td><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">2 times</td><td align="center" colspan="1" valign="top">35</td><td colspan="1" valign="top" align="center">17</td><td colspan="1" valign="top" align="center">48.6%</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr></tbody></table></table-wrap><table-wrap id="table-3" ignoredToc=""><label>Table 4</label><caption><p>Prevalence of parasite types (Egg/gram) from beef cattle farm locations in the interface area of Baluran National Park (BNP)</p></caption><table frame="box" rules="all"><thead><tr><th rowspan="2" valign="top" align="center" colspan="1">Farm location</th><th colspan="1" rowspan="2" valign="top" align="center">Number examined (%)</th><th colspan="9" valign="top" align="center">Number positive (%)</th></tr><tr><th valign="top" align="center" colspan="1"><italic>Bunostomum spp</italic></th><th colspan="1" valign="top" align="center"><p><italic>Cooperia </italic></p><p><italic>spp</italic></p></th><th align="center" colspan="1" valign="top"><italic>Haemonchus spp</italic></th><th valign="top" align="center" colspan="1"><p><italic>Oesophagostomum </italic></p><p><italic>spp</italic></p></th><th align="center" colspan="1" valign="top"><p>Ostertagia</p><p>spp</p></th><th align="center" colspan="1" valign="top"><p>Strongylus</p><p>spp</p></th><th align="center" colspan="1" valign="top"><p><italic>Trichostrongylus</italic></p><p><italic>spp</italic></p></th><th valign="top" align="left" colspan="1"><p><italic>Fasciola</italic></p><p>spp</p></th><th colspan="1" valign="top" align="left"><p><italic>Eimeria  </italic></p><p>spp</p></th></tr></thead><tbody><tr><td valign="top" align="center" colspan="1">Air karang</td><td align="center" colspan="1" valign="top">13 (7.8)</td><td valign="top" align="center" colspan="1">1 (7.6)</td><td align="center" colspan="1" valign="top">4 (30.7)</td><td valign="top" align="center" colspan="1">-</td><td align="center" colspan="1" valign="top">-</td><td colspan="1" valign="top" align="center">-</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">2 (15.3)</td><td align="center" colspan="1" valign="top">1 (7.6)</td><td valign="top" align="center" colspan="1">2 (15.3)</td></tr><tr><td valign="top" align="center" colspan="1">Lempuyang</td><td valign="top" align="center" colspan="1">39 (23.4)</td><td align="center" colspan="1" valign="top">3 (23)</td><td valign="top" align="center" colspan="1">3 (23)</td><td valign="top" align="center" colspan="1">1 (7.6)</td><td colspan="1" valign="top" align="center">2 (15.3)</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">1 (7.6)</td><td align="center" colspan="1" valign="top">5 (38.4)</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">1 (7.6)</td></tr><tr><td align="center" colspan="1" valign="top">Merak</td><td align="center" colspan="1" valign="top">88 (53)</td><td align="center" colspan="1" valign="top">5 (38.4)</td><td align="center" colspan="1" valign="top">18 (138.4)</td><td valign="top" align="center" colspan="1">7 (53.8)</td><td align="center" colspan="1" valign="top">10 (76.9)</td><td colspan="1" valign="top" align="center">6 (46.1)</td><td align="center" colspan="1" valign="top">1 (7.6)</td><td align="center" colspan="1" valign="top">12 (92.3)</td><td align="center" colspan="1" valign="top">7 (53.8)</td><td align="center" colspan="1" valign="top">4 (30.7)</td></tr><tr><td valign="top" align="center" colspan="1">Simacan</td><td align="center" colspan="1" valign="top">19 (11.4)</td><td align="center" colspan="1" valign="top">3 (23)</td><td valign="top" align="center" colspan="1">1 (7.6)</td><td valign="top" align="center" colspan="1">-</td><td align="center" colspan="1" valign="top">3 (23)</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">2 (15.3)</td><td colspan="1" valign="top" align="center">2 (15.3)</td><td colspan="1" valign="top" align="center">-</td><td align="center" colspan="1" valign="top">-</td></tr><tr><td align="center" colspan="1" valign="top">Sirondo</td><td colspan="1" valign="top" align="center">7 (4.2)</td><td colspan="1" valign="top" align="center">-</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">-</td><td valign="top" align="center" colspan="1">-</td><td colspan="1" valign="top" align="center">-</td></tr><tr><td valign="top" align="center" colspan="1">Chi-square</td><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">2,952</td><td align="center" colspan="1" valign="top">8,507</td><td valign="top" align="center" colspan="1">4,293</td><td align="center" colspan="1" valign="top">4,346</td><td align="center" colspan="1" valign="top">5,518</td><td valign="top" align="center" colspan="1">6,427</td><td valign="top" align="center" colspan="1">1,258</td><td align="center" colspan="1" valign="top">5,411</td><td colspan="1" valign="top" align="center">5,446</td></tr><tr><td valign="top" align="center" colspan="1">p-value</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">0.566</td><td valign="top" align="center" colspan="1">0.075</td><td align="center" colspan="1" valign="top">0.368</td><td align="center" colspan="1" valign="top">0.361</td><td valign="top" align="center" colspan="1">0.238</td><td valign="top" align="center" colspan="1">0.169</td><td colspan="1" valign="top" align="center">0.869</td><td colspan="1" valign="top" align="center">0.248</td><td valign="top" align="center" colspan="1">0.245</td></tr></tbody></table></table-wrap></sec><sec><title>Risk Factors for Livestock Husbandry Management Against Incidents Gastrointestinal Parasitism</title><p>The results of Chi-square analysis reported that most management factors were not significantly associated with the incidence of gastrointestinal parasite infections <xref ref-type="table" rid="table-3">Table 4</xref>. However, several variables showed a significant association, namely the presence of wild ruminants (OR=2.033; 95% CI: 1.068–3.873; p=0.030), frequency of pen cleaning (OR=2.581; p=0.004), feces color (presence of blood) (OR=4.084; 95% CI: 1.438–11.598; p=0.005), distance of the pen from the house (0–5 m) (OR=0.488; p=0.050). Other factors, such as the roof of the pen, the presence of a feeding place, vaccination, deworming treatment, and water source, did not show a significant relationship (p&gt;0.05).</p><table-wrap id="table-5" ignoredToc=""><label>Table 5</label><caption><p>Table of predictors of beef cattle management practices related to gastrointestinal parasite infections in the Baluran National Park (BNP) interface area</p></caption><table frame="box" rules="all"><thead><tr><th valign="middle" align="center" colspan="1">Predictor variable</th><th align="center" colspan="1" valign="middle">Response (Frequency)</th><th align="center" colspan="1" valign="middle">Percentage positives (%)</th><th valign="middle" align="center" colspan="1">OR (95% CI)</th><th align="center" colspan="1" valign="middle">Chi-square</th><th valign="middle" align="center" colspan="1">p-value</th></tr></thead><tbody><tr><td align="center" colspan="1" valign="top">Age uniformity in 1 cage</td><td align="center" colspan="1" valign="top">Yes (9)</td><td valign="top" align="center" colspan="1">4 (44.4%)</td><td valign="top" align="center" colspan="1">1</td><td align="center" colspan="1" valign="top">0.174</td><td align="center" colspan="1" valign="top">0.677</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">No (157)</td><td align="center" colspan="1" valign="top">81 (51.5%)</td><td valign="top" align="center" colspan="1">1.332 (0.345-5.147)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td colspan="1" valign="top" align="center">Roof of the cage</td><td colspan="1" valign="top" align="center">Yes (10)</td><td valign="top" align="center" colspan="1">7 (70%)</td><td valign="top" align="center" colspan="1">1</td><td align="center" colspan="1" valign="top">1.504</td><td valign="top" align="center" colspan="1">0.220</td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">No (156)</td><td valign="top" align="center" colspan="1">78 (50%)</td><td valign="top" align="center" colspan="1">0.429 (0.107-1.718)</td><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td colspan="1" valign="top" align="center">Quarantine cage</td><td colspan="1" valign="top" align="center">Yes (60)</td><td valign="top" align="center" colspan="1">35 (58.3%)</td><td align="center" colspan="1" valign="top">1</td><td align="center" colspan="1" valign="top">1.911</td><td align="center" colspan="1" valign="top">0.167</td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">No (106)</td><td align="center" colspan="1" valign="top">30 (28.3%)</td><td valign="top" align="center" colspan="1">0.638 (0.336-1.209)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top">The distance of the cage is 0-5 m from the cattle farmer’s house</td><td colspan="1" valign="top" align="center">Yes (124)No (42)</td><td align="center" colspan="1" valign="top">58 (46.7%)27 (64.2%)</td><td colspan="1" valign="top" align="center">0.488 (0.237-1.006)1</td><td valign="top" align="center" colspan="1">3.851</td><td valign="top" align="center" colspan="1">0.049</td></tr><tr><td align="center" colspan="1" valign="top">There is a feeding place</td><td align="center" colspan="1" valign="top">Yes (38)</td><td align="center" colspan="1" valign="top">22 (57.8%)</td><td valign="top" align="center" colspan="1">1</td><td colspan="1" valign="top" align="center">0.883</td><td colspan="1" valign="top" align="center">0.347</td></tr><tr><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top">No (128)</td><td valign="top" align="center" colspan="1">63 (49.2%)</td><td valign="top" align="center" colspan="1">0.705 (0.339-1.465)</td><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td valign="top" align="center" colspan="1">There is a waste place</td><td valign="top" align="center" colspan="1">Yes (15)</td><td align="center" colspan="1" valign="top">9 (60%)</td><td align="center" colspan="1" valign="top">1</td><td valign="top" align="center" colspan="1">0.511</td><td valign="top" align="center" colspan="1">0.475</td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">No (151)</td><td align="center" colspan="1" valign="top">76 (50.3%)</td><td valign="top" align="center" colspan="1">0.676 (0.229-1.992)</td><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td align="center" colspan="1" valign="top">Mating Artificial Insemination (AI)</td><td valign="top" align="center" colspan="1">Yes (15) No (151)</td><td align="center" colspan="1" valign="top">7 (46.6%)78 (51.6%)</td><td align="center" colspan="1" valign="top">11.221 (0.422-3.537)</td><td align="center" colspan="1" valign="top">0.136</td><td align="center" colspan="1" valign="top">0.712</td></tr><tr><td align="center" colspan="1" valign="top">Mating recording</td><td align="center" colspan="1" valign="top">Yes (21)</td><td valign="top" align="center" colspan="1">12 (57.1%)</td><td valign="top" align="center" colspan="1">1</td><td valign="top" align="center" colspan="1">0.339</td><td align="center" colspan="1" valign="top">0.560</td></tr><tr><td colspan="1" valign="top" align="center"></td><td align="center" colspan="1" valign="top">No (145)</td><td valign="top" align="center" colspan="1">73 (50.3%)</td><td align="center" colspan="1" valign="top">0.760 (0.302-1.915)</td><td align="center" colspan="1" valign="top"></td><td colspan="1" valign="top" align="center"></td></tr><tr><td valign="top" align="center" colspan="1">There are wild ungulates (such as deer, banteng (Bos javanicus), and water buffalo (Bubalus bubalis)) in the study area.</td><td valign="top" align="center" colspan="1">Yes (106)No (60)</td><td colspan="1" valign="top" align="center">61 (57.5%)24 (40%)</td><td align="center" colspan="1" valign="top">2.033 (1.068-3.873)1</td><td valign="top" align="center" colspan="1">4.721</td><td valign="top" align="center" colspan="1">0.030</td></tr><tr><td align="center" colspan="1" valign="top">Grazing into the forest (Baluran National Park)</td><td valign="top" align="center" colspan="1">Yes (164)No (2)</td><td align="center" colspan="1" valign="top">85 (51.8%)0 (0%)</td><td valign="top" align="center" colspan="1">2.076 (1.771-2.433)1</td><td valign="top" align="center" colspan="1">2.124</td><td colspan="1" valign="top" align="center">0.145</td></tr><tr><td valign="top" align="center" colspan="1">Heard about zoonoses</td><td align="center" colspan="1" valign="top">Yes (9)</td><td align="center" colspan="1" valign="top">2 (22.2%)</td><td valign="top" align="center" colspan="1">1</td><td valign="top" align="center" colspan="1">3.199</td><td align="center" colspan="1" valign="top">0.074</td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">No (157)</td><td valign="top" align="center" colspan="1">83 (52.8%)</td><td align="center" colspan="1" valign="top">3.926 (0.791-19.491)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top">Forest clearing for agriculture</td><td valign="top" align="center" colspan="1">Yes (3)</td><td valign="top" align="center" colspan="1">3 (100%)</td><td colspan="1" valign="top" align="center">0.503 (0.432-0.586)</td><td valign="top" align="center" colspan="1">2.911</td><td valign="top" align="center" colspan="1">0.088</td></tr><tr><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">No (163)</td><td colspan="1" valign="top" align="center">82 (50.3%)</td><td align="center" colspan="1" valign="top">1</td><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top">Vaccination</td><td align="center" colspan="1" valign="top">Yes (25)</td><td valign="top" align="center" colspan="1">17 (68.0%)</td><td align="center" colspan="1" valign="top">1</td><td align="center" colspan="1" valign="top">3.323</td><td valign="top" align="center" colspan="1">0.680</td></tr><tr><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">No (141)</td><td colspan="1" valign="top" align="center">68 (48.2%)</td><td valign="top" align="center" colspan="1">0.438 (0.178-1.081)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td valign="top" align="center" colspan="1">The beef cattle sheds were cleaned at least once daily</td><td align="center" colspan="1" valign="top">Yes (39) No (137)</td><td align="center" colspan="1" valign="top">12 (30.7%)73 (53.2%)</td><td valign="top" align="center" colspan="1">13.042 (1.415-6.541)</td><td valign="top" align="center" colspan="1">8.52</td><td colspan="1" valign="top" align="center">0.004</td></tr><tr><td align="center" colspan="1" valign="top">Farmers often leave the village</td><td align="center" colspan="1" valign="top">Yes (148)</td><td valign="top" align="center" colspan="1">79 (53.3%)</td><td align="center" colspan="1" valign="top">1</td><td align="center" colspan="1" valign="top">2.581</td><td valign="top" align="center" colspan="1">0.108</td></tr><tr><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top">No (18)</td><td valign="top" align="center" colspan="1">6 (33.3%)</td><td colspan="1" valign="top" align="center">2.290 (0.816-6.426)</td><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td align="center" colspan="1" valign="top">Preferences for drug use</td><td valign="top" align="center" colspan="1">Chemical drugs (29)</td><td align="center" colspan="1" valign="top">18 (62%)</td><td align="center" colspan="1" valign="top">1</td><td colspan="1" valign="top" align="center">1.66</td><td valign="top" align="center" colspan="1">0.198</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">Herbal medicine (137)</td><td valign="top" align="center" colspan="1">67 (48.9%)</td><td valign="top" align="center" colspan="1">0.585 (0.257-1.330)</td><td align="center" colspan="1" valign="top"></td><td align="center" colspan="1" valign="top"></td></tr><tr><td colspan="1" valign="top" align="center">Worm treatment</td><td align="center" colspan="1" valign="top">Yes (34)</td><td align="center" colspan="1" valign="top">19 (55.8%)</td><td valign="top" align="center" colspan="1">1</td><td colspan="1" valign="top" align="center">0.374</td><td valign="top" align="center" colspan="1">0.541</td></tr><tr><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">No (132)</td><td valign="top" align="center" colspan="1">66 (50%)</td><td valign="top" align="center" colspan="1">0.789 (0.370-1.685)</td><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td colspan="1" valign="top" align="center">Livestock feed is the same as wild ruminants</td><td align="center" colspan="1" valign="top">Yes (150)No (16)</td><td valign="top" align="center" colspan="1">77 (51.3%)8 (50%)</td><td align="center" colspan="1" valign="top">1.055 (0.376-2.957)1</td><td valign="top" align="center" colspan="1">0.01</td><td colspan="1" valign="top" align="center">0.919</td></tr><tr><td colspan="1" valign="top" align="center">Water source when grazing</td><td valign="top" align="center" colspan="1">In the cage (105)</td><td valign="top" align="center" colspan="1">50 (47.6%)</td><td align="center" colspan="1" valign="top">1</td><td align="center" colspan="1" valign="top">1.47</td><td valign="top" align="center" colspan="1">0.225</td></tr><tr><td colspan="1" valign="top" align="center"></td><td colspan="1" valign="top" align="center">In the forest (61)</td><td align="center" colspan="1" valign="top">35 (57.3%)</td><td valign="top" align="center" colspan="1">1.481 (0.784-2.796)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td colspan="1" valign="top" align="center">Feces consistency</td><td valign="top" align="center" colspan="1">Normal (163)</td><td align="center" colspan="1" valign="top">84 (51.5%)</td><td align="center" colspan="1" valign="top">1</td><td valign="top" align="center" colspan="1">0.391</td><td colspan="1" valign="top" align="center">0.532</td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">Soft (3)</td><td valign="top" align="center" colspan="1">1 (33.3%)</td><td colspan="1" valign="top" align="center">0.470 (0.042-5.288)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1"></td></tr><tr><td align="center" colspan="1" valign="top">The presence of blood in cattle feces was observed</td><td align="center" colspan="1" valign="top">No (143)Yes (23)</td><td align="center" colspan="1" valign="top">67 (46.8%)18 (78.2%)</td><td valign="top" align="center" colspan="1">14.084 (1.438-11.598)</td><td valign="top" align="center" colspan="1">7.822</td><td align="center" colspan="1" valign="top">0.005</td></tr></tbody></table></table-wrap></sec><sec><title>DISCUSSION</title><p>The interface area is an ecosystem at the intersection between BNP and residential areas on the north coast of Java <xref ref-type="bibr" rid="BIBR-22">(Namusisi et al., 2021)</xref>. The majority of residents work as farmers and own approximately 20 cattle per household. Most of the people are approaching 40 years old after living in the area for more than 10 years. Furthermore, the farmers have a low education level (elementary school) and an income of less than 2 million a month.</p><p>Livestock rearing patterns in this area are extensive (88%), and use communal pens (100%). The pen area is relatively loose and roomy, but several requirements are minimal, such as 29.4% of cattle are semi-grazing feeding, 15% of samples have waste disposal in the pen, and none possess drainage. The pens have a dirt floor (95.8%), and only 37.5% possess a quarantine pen. Farmers mostly clean the pen once a day (75%) in the morning while the cattle are grazing. The forage is given 1-2 times a day for semi-grazing cattle. The water source comes from the forest, and the area tends to be hot, with temperatures above 25 °C. In reproduction, 96% of the samples comprised natural service with a male-female ratio &lt;1:15–20 (68.4%). The natural service prevents the farmers from recording livestock.</p><p>In practice, livestock are grazed in the forest daily (96%–100%), engage in frequent interactions with wildlife (68%), and are occasionally subjected to predator attacks (66.7%). However, farmers’ knowledge of zoonotic diseases is very low (4.3%). In terms of veterinary care, 91.3% desire to treat sick livestock, but the willingness to vaccinate is low, with only 17.4% of the samples having received a vaccination. Most of the farmers use herbal drugs (81%), and 31.6% deworm the cattle. Generally, biosecurity implementation remains low, as shown by the proximity of pens to residential buildings, improper deworming practices, the frequent presence of wild animals such as deer and long-tailed monkeys, and the occurrence of vectors.</p><p>The incidence of gastrointestinal parasitism in beef cattle is 51.2% (85/166). This is classified as high (&gt;50%), approaching endemicity. The number is consistent with the endemic pattern observed by <xref rid="BIBR-24" ref-type="bibr">(Ngowi, 2020)</xref> and <xref ref-type="bibr" rid="BIBR-26">(Ninditya et al., 2024)</xref> regarding parasite prevalence in tropical areas, compared to parasitism incidence in nontropical countries <xref ref-type="bibr" rid="BIBR-32">(Rizwan et al., 2024)</xref><xref ref-type="bibr" rid="BIBR-38">(Su et al., 2024)</xref>. Single gastrointestinal parasite infections accounted for 78.82%. Meanwhile, mixed infections, including the presence of two or more GIT parasites, comprised 21.18%. This infection can suppress the immune system and make the cattle more vulnerable to other parasites or diseases <xref ref-type="bibr" rid="BIBR-41">(Tiele et al., 2023)</xref>.</p><p>The most varied parasite incidences were in the Merak area, with the largest number of cattle on the BNP interface. The higher density and larger population of cattle increase gastrointestinal parasites <xref ref-type="bibr" rid="BIBR-39">(Sun et al., 2018)</xref><xref ref-type="bibr" rid="BIBR-26">(Ninditya et al., 2024)</xref>. The transmission of parasites in beef cattle at the BNP interface is influenced by wildlife-livestock interactions. In this context, the interactions between community-owned beef cattle and wildlife such as Timor deer (Cervus timorensis) provide a route for parasite transmission through shared resources and environmental contamination. The shared use of resources increases the risk of parasite transmission from wildlife to livestock <xref ref-type="bibr" rid="BIBR-6">(Babayani et al., 2022)</xref><xref ref-type="bibr" rid="BIBR-42">(Titcomb et al., 2023)</xref>. Another risk factor is poor hygiene, where cattle housed in dirty pens face a 2.6-times higher risk of infection. An infrequently cleaned pen accumulates large feces and facilitates parasitic transmission <xref ref-type="bibr" rid="BIBR-31">(Ramadhani et al., 2022)</xref>. Another factor is the presence of blood in the cattle’s faeces. This can be linked to lesions caused by gastrointestinal worm infestations, such as Haemonchus spp., which cause bleeding in the abomasal mucosa. The final factor, the proximity of the pen to the house (0–5 m), was considered a protective factor (OR = 0.488; p = 0.050). Farmers who have a pen near a residential area tend to pay more attention to hygiene, reducing exposure to eggs/oocysts. Several variables showed high odds ratios but were not statistically significant, including grazing in forests (OR = 2.076; p = 0.145). The small sample size influences the condition in the “not grazed” category. However, grazing in forest areas is still considered an important risk factor because the concept increases contact with wildlife and contaminated environments.</p><p>The free grazing allows cattle to enter conservation areas, opening up opportunities for direct and indirect contact between cattle and wildlife. Intensive interactions between humans, livestock, and wildlife pose significant ecological and health risks, one of which is the potential for zoonotic disease transmission through two-way disease transfer <xref rid="BIBR-7" ref-type="bibr">(Banda et al., 2024)</xref><xref ref-type="bibr" rid="BIBR-15">(Huaman et al., 2023)</xref><xref rid="BIBR-25" ref-type="bibr">(Nguyen et al., 2025)</xref>. Moreover, there are several negative impacts, especially increasing prevalence, decreased productivity, mortality, disease resistance, and the risk of zoonoses (Bunostomum spp., Oesophagostomum spp., Trichostrongylus spp., and Fasciola spp.).</p><p>Several control measures that can be applied to livestock in the BNP interface area include limiting beef cattle grazing (ensuring that livestock do not enter the BNP area), providing several areas equipped with sufficient and nutritious feed. Therefore, grazing rotation can be carried out, providing adequate beef cattle pens, clean water sources, and routine deworming, as well as implementing biosecurity on beef cattle farms <xref ref-type="bibr" rid="BIBR-33">(Sakti et al., 2024)</xref> and monitoring the health of beef cattle <xref rid="BIBR-13" ref-type="bibr">(Herrik et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-23">(Ngoshe et al., 2023)</xref>; <xref rid="BIBR-43" ref-type="bibr">(Vougat Ngom et al., 2024)</xref>. The statements complement previous research <xref ref-type="bibr" rid="BIBR-4">(Alamanda et al., 2022)</xref>, presenting opportunities for further analysis on the potential for disease transmission between beef cattle and wild ruminants in the BNP interface area, specifically Timor deer (Cervus timorensis).</p></sec><sec><title>CONCLUSION</title><p>In conclusion, the prevalence of gastrointestinal parasitism in beef cattle in the BNP interface area was 51.2% (85/166). This research identified nine genera, namely Bunostomum spp. (7.2%), Cooperia spp. (15.6%), Haemonchus spp. (4.8%), Oesophagostomum spp. (9%), Ostertagia spp. (3.6%), Strongylus spp. (2.4%), Trichostrongylus spp. (12.6%), Fasciola spp. (4.8%), and Eimeria spp. (4.2%). A combination of specific risk factors and overarching livestock management practices increased the infection rate. Key risk factors significantly associated with infection included the geographic location (Air Karang and Merak), grazing in the Bilik forest area, and a low BCS. The root causes of endemic parasitism were deeply embedded in the prevailing extensive grazing system, which facilitated constant contact with wildlife and a contaminated forest environment, possessing low biosecurity and anthelmintic practices.</p></sec></body><back><sec><title>CONFLICT OF INTEREST</title><p>There is no conflict of interest concerning financial, personal, or other relationships with people or organizations related to the material discussed in the manuscript.</p></sec><sec><title>ACKNOWLEDGEMENT</title><p>The authors are grateful to the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia for funding the research through the Doctoral Dissertation Research 2024 Scheme DRTPM Grant. Research has an official contract number: 2745/ UN1/DITLIT/PT.01.03/2024.</p></sec><sec><title>DECLARATION OF GENERATIVE AI-ASSISTED TECHNOLOGIES IN THE WRITING PROCESS</title><p>Google Translate was used to translate the manuscript from Indonesian to English during the preparation of this research. 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