Melola Discovery

← Melola Discovery

Open access Journal SINTA 1

Spatial Map of Geohelminths Infection in Agricultural Communities and its Contamination in Soil of Jatian Village, Jember Regency

JURNAL KESEHATAN LINGKUNGAN (Journal of Environmental Health) · Vol. 15 No. 4 (2023) · pp. 309–316

DOI
10.20473/jkl.v15i4.2023.309-316
ISSN
2540-881X, 1829-7285
Published
2023-10-31
Publisher
Universitas Airlangga
Language
eng
License
creativecommons.org/licenses/by-nc-sa/4.0

Abstract

Introduction: Geohelminth infections are a neglected global health problem. Data from the World Health Organization (WHO) in 2020 show that more than 24% of the world population is infected by geohelminths. The condition of the agricultural soil, which tends to be loose and moist, supports the development of the infective form of the geohelminth. This makes agricultural communities susceptible to geohelminth infections. This study aimed to determine a spatial map of geohelminth infection in agricultural communities and its contamination in the soil of Jatian Village, Jember Regency. Methods: This study used an observational analytical design and a spatial analysis approach. Sampling was performed using a random sampling method that included 43 samples. Data were obtained by examining soil and stool samples and the coordinates of the sampling locations. Data were analyzed using spatial analysis. Results and Discussion: The results of this study indicated that the prevalence of geohelminth infection in agricultural communities was 23.3%, and its contamination in the soil was 6.98%. Hookworms caused infections among respondents, and contamination in the ground was caused by Hookworms and Strongyloides stercoralis. Clustering analysis results showed that geohelminth infection formed two secondary clusters. Spatial autocorrelation and buffer analysis showed clustering of geohelminth infections within the buffer range (<100 m), indicating that the infection spreads more easily within the cluster. Conclusion: The spatial map showed the distribution pattern of clustered geohelminth infection cases and their contamination in soil within proximity, thereby increasing the risk of geohelminth transmission.

Keywords

Collaboration network of the authors

36 authors · 148 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Dini AgustinaAffiliation unknown9
Yudha NurdianAffiliation unknown6
Diana Chusna MufidaAffiliation unknown5
Muhammad Ali ShodikinAffiliation unknown5
Enny SuswatiAffiliation unknown3
Elvia Rahmi Marga PutriAffiliation unknown3
Angga Mardro RaharjoAffiliation unknown3
Laily NurhayatiAffiliation unknown3
Muhammad Afiful JauhaniAffiliation unknown3
Nurus Saffana YuliantoAffiliation unknown3
Dwita Aryadina RachmawatiAffiliation unknown3
Rafindra RamadhaniAffiliation unknown3
Angga Mardro RahardjoAffiliation unknown3
Rahadinda Mutia Dhamar DrajadAffiliation unknown3
Ida Srisurani Wiji AstutiAffiliation unknown3
Begawan Sa'baniAffiliation unknown3
Kristianningrum Dian SofianaAffiliation unknown3
Antonius Dwi SaputraAffiliation unknown2
Erma SulistyaningsihAffiliation unknown1
Umar ZeinAffiliation unknown1
Hidayat SujutiAffiliation unknown1
Loeki Enggar FitriAffiliation unknown1
Agustina Tri EndhartiAffiliation unknown1
Samsul ArifinAffiliation unknown1
Niniek BurhanAffiliation unknown1
Didi CandradikusumaAffiliation unknown1
Josef Sem Berth TudaAffiliation unknown1
Isa Ma'rufiAffiliation unknown1
Nanik KurniyatiAffiliation unknown1
Siti ZulaikhaAffiliation unknown1
Ali HabibiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JKL/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Spatial Map of Geohelminths Infection in Agricultural Communities and its Contamination in Soil of Jatian Village, Jember Regency</dc:title>
	<dc:creator>Yunita Armiyanti</dc:creator>
	<dc:creator>Nuramna, Nanda</dc:creator>
	<dc:creator>Afiful Jauhani, Muhammad</dc:creator>
	<dc:creator>Hermansyah, Bagus</dc:creator>
	<dc:creator>Utami, Wiwien Sugih</dc:creator>
	<dc:subject xml:lang="en-US">Agricultural community</dc:subject>
	<dc:subject xml:lang="en-US">Contamination</dc:subject>
	<dc:subject xml:lang="en-US">Geohelminth</dc:subject>
	<dc:subject xml:lang="en-US">Soil</dc:subject>
	<dc:subject xml:lang="en-US">Spatial map</dc:subject>
	<dc:description xml:lang="en-US">Introduction: Geohelminth infections are a neglected global health problem. Data from the World Health Organization (WHO) in 2020 show that more than 24% of the world population is infected by geohelminths. The condition of the agricultural soil, which tends to be loose and moist, supports the development of the infective form of the geohelminth. This makes agricultural communities susceptible to geohelminth infections. This study aimed to determine a spatial map of geohelminth infection in agricultural communities and its contamination in the soil of Jatian Village, Jember Regency. Methods: This study used an observational analytical design and a spatial analysis approach. Sampling was performed using a random sampling method that included 43 samples. Data were obtained by examining soil and stool samples and the coordinates of the sampling locations. Data were analyzed using spatial analysis. Results and Discussion: The results of this study indicated that the prevalence of geohelminth infection in agricultural communities was 23.3%, and its contamination in the soil was 6.98%. Hookworms caused infections among respondents, and contamination in the ground was caused by Hookworms and Strongyloides stercoralis. Clustering analysis results showed that geohelminth infection formed two secondary clusters. Spatial autocorrelation and buffer analysis showed clustering of geohelminth infections within the buffer range (&amp;lt;100 m), indicating that the infection spreads more easily within the cluster. Conclusion: The spatial map showed the distribution pattern of clustered geohelminth infection cases and their contamination in soil within proximity, thereby increasing the risk of geohelminth transmission.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2023-10-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>text/xml</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JKL/article/view/48520</dc:identifier>
	<dc:identifier>10.20473/jkl.v15i4.2023.309-316</dc:identifier>
	<dc:source xml:lang="en-US">JURNAL KESEHATAN LINGKUNGAN ; Vol. 15 No. 4 (2023): JURNAL KESEHATAN LINGKUNGAN; 309-316</dc:source>
	<dc:source>2540-881X</dc:source>
	<dc:source>1829-7285</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JKL/article/view/48520/26539</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JKL/article/view/48520/26540</dc:relation>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>