{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T10:14:28Z","timestamp":1790072068662,"version":"4.0.1"},"reference-count":70,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T00:00:00Z","timestamp":1547769600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["80NSSC18K0517"],"award-info":[{"award-number":["80NSSC18K0517"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["TropicalMed"],"abstract":"<jats:p>The distribution of diseases caused by vector-borne viruses and parasites are restricted by the environmental requirements of their vectors, but also by the ambient temperature inside the host as it influences the speed of maturation of the infectious agent transferred. The launch of the Soil Moisture Active Passive (SMAP) satellite in 2015, and the new ECOSTRESS instrument onboard the International Space Station (ISS) in 2018, established the leadership of the National Aeronautics Space Administration (NASA) in ecology and climate research by allowing the structural and functional classification of ecosystems that govern vector sustainability. These advances, and the availability of sub-meter resolution data from commercial satellites, contribute to seamless mapping and modelling of diseases, not only at continental scales (1 km2) and local community or agricultural field scales (15\u201330 m2), but for the first time, also at the habitat\u2013household scale (&lt;1 m2). This communication presents current capabilities that are related to data collection by Earth-observing satellites, and draws attention to the usefulness of geographical information systems (GIS) and modelling for the study of important parasitic diseases.<\/jats:p>","DOI":"10.3390\/tropicalmed4010015","type":"journal-article","created":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T11:26:55Z","timestamp":1547810815000},"page":"15","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Use of Geospatial Surveillance and Response Systems for Vector-Borne Diseases in the Elimination Phase"],"prefix":"10.3390","volume":"4","author":[{"given":"John B.","family":"Malone","sequence":"first","affiliation":[{"name":"Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Bergquist","sequence":"additional","affiliation":[{"name":"Ingerod, SE-454 94 Brastad, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moara","family":"Martins","sequence":"additional","affiliation":[{"name":"Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey C.","family":"Luvall","sequence":"additional","affiliation":[{"name":"National Aeronautics Space Administration (NASA), MSFC ST11, NSSTC, 320 Sparkman Drive, Huntsville, AL 35805, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1590\/S0074-02762011000700016","article-title":"New tools for epidemiology: A space odyssey","volume":"106","author":"Bergquist","year":"2011","journal-title":"Mem. Inst. Oswaldo Cruz"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"155","DOI":"10.4081\/gh.2012.131","article-title":"Visual approaches for strengthening research, science communication and public health impact","volume":"6","author":"Bergquist","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"599","DOI":"10.4081\/gh.2014.291","article-title":"Towards establishment of GeoHealth, an open-data portal for health mapping and modelling based on Earth observations by remote sensing","volume":"8","author":"Malone","year":"2014","journal-title":"Geospat. Health"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S0022149X09990484","article-title":"Health research based on geospatial tools: A timely approach in a changing environment","volume":"84","author":"Bergquist","year":"2010","journal-title":"J. Helminthol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/S0065-308X(05)62010-6","article-title":"Climate change and vector-borne diseases","volume":"62","author":"Rogers","year":"2006","journal-title":"Adv. Parasitol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"25","DOI":"10.4081\/gh.2012.119","article-title":"SandflyMap: Leveraging spatial data on sand fly vector distribution for disease risk assessments","volume":"6","author":"Foley","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"549","DOI":"10.4081\/gh.2017.549","article-title":"Climate and the distribution of vector-borne diseases: What\u2019s in store?","volume":"12","author":"Bergquist","year":"2017","journal-title":"Geospat. Health"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1111\/1365-2664.13091","article-title":"Geostatistical models using remotely-sensed data predict savanna tsetse decline across the interface between protected and unprotected areas in Serengeti, Tanzania","volume":"4","author":"Lord","year":"2018","journal-title":"J. Appl. Ecol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1007\/s10661-018-6875-0","article-title":"Estimating air temperature using MODIS surface temperature images for assessing Aedes aegypti thermal niche in Bangkok, Thailand","volume":"190","author":"Misslin","year":"2018","journal-title":"Environ. Monit. Assess."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/S0065-308X(05)62008-8","article-title":"Tick-borne disease systems: Mapping geographic and phylogenetic space","volume":"62","author":"Randolph","year":"2006","journal-title":"Adv. Parasitol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.vetpar.2011.01.012","article-title":"Changing climate and changing vector-borne disease distribution: The example of Dirofilaria in Europe","volume":"176","author":"Genchi","year":"2011","journal-title":"Vet. Parasitol."},{"key":"ref_12","first-page":"127","article-title":"A potential impact of climate change and water resource development on the transmission of Schistosoma japonicum in China","volume":"47","author":"Yang","year":"2005","journal-title":"Parassitologia"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"188","DOI":"10.4269\/ajtmh.2008.78.188","article-title":"Potential impact of climate change on schistosomiasis transmission in China","volume":"78","author":"Zhou","year":"2008","journal-title":"Am. J. Trop. Med. Hyg."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1016\/j.ijpara.2005.06.005","article-title":"Drivers for the emergence and re-emergence of vector-borne protozoal and bacterial diseases","volume":"35","author":"Harrus","year":"2005","journal-title":"Int. J. Parasitol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"699","DOI":"10.4081\/gh.2018.699","article-title":"Vector-borne diseases in a warmer world: Will they stay or will they go?","volume":"13","author":"Bergquist","year":"2018","journal-title":"Geospat. Health"},{"key":"ref_16","first-page":"65","article-title":"The ecological parasitology","volume":"6","author":"Pavlovskii","year":"1945","journal-title":"J. Gen. Biol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"257","DOI":"10.4081\/gh.2015.347","article-title":"Mapping and modelling helminth infections in ruminants in Europe: Experience from GLOWORM","volume":"19","author":"Rinaldi","year":"2015","journal-title":"Geospat. Health"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"195","DOI":"10.4081\/gh.2012.137","article-title":"A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system","volume":"6","author":"Yang","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"33","DOI":"10.4081\/gh.2006.279","article-title":"New insights into the application of geographical information systems and remote sensing in veterinary parasitology","volume":"1","author":"Rinaldi","year":"2006","journal-title":"Geospat. Health"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1078\/1438-4639-00145","article-title":"New perspectives on the use of Geographical Information Systems (GIS) in environmental health sciences","volume":"205","author":"Kistemann","year":"2002","journal-title":"Int. J. Hyg. Environ. Health"},{"key":"ref_21","first-page":"27","article-title":"Biology-based mapping of vector-borne parasites by geographic information systems and remote sensing","volume":"47","author":"Malone","year":"2005","journal-title":"Parassitologia"},{"key":"ref_22","unstructured":"Luvall, J.C. (2014, January 1\u20132). The power of the pixel\u2014A thermodynamic paradigm for studying disease vector\u2019s habitats & life cycles using NASA\u2019s Remote sensing data. Presented at the 8th International Symposium on Geospatial Health, New Orleans, LA, USA."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4081\/gh.2008.226","article-title":"Satellite imaging and vector-borne diseases: The approach of the French National Space Agency (CNES)","volume":"3","author":"Marechal","year":"2008","journal-title":"Geospat. Health"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"S603","DOI":"10.4081\/gh.2014.299","article-title":"Japan\u2019s efforts to promote global health using satellite remote sensing data from the Japanese aerospace exploration agency (JAXA) for prediction of infectious diseases and air quality","volume":"8","author":"Igarashi","year":"2014","journal-title":"Geospat. Health"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"137","DOI":"10.4081\/gh.2011.166","article-title":"Geospatial health: The first five years","volume":"6","author":"Utzinger","year":"2011","journal-title":"Geospat. Health"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"S671","DOI":"10.4081\/gh.2014.296","article-title":"Fine-scale mapping of vector habitats using very high resolution satellite imagery: A case-study on liver fluke","volume":"8","author":"Soenen","year":"2014","journal-title":"Geospat. Health"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"S699","DOI":"10.4081\/gh.2014.298","article-title":"Indirect technology for detecting areas object of illegal spills, harmful to human health, by applying drones, photogrammetry and hydrological models","volume":"8","author":"Capolupo","year":"2014","journal-title":"Geospat. Health"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.ecolmodel.2005.03.026","article-title":"Maximum entropy modeling of species geographic distributions","volume":"190","author":"Phillips","year":"2006","journal-title":"Ecol. Model."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"S59","DOI":"10.4081\/gh.2012.123","article-title":"Environmental and socio-economic risk modelling for Chagas disease in Bolivia","volume":"6","author":"Mischler","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_30","unstructured":"Martins, M. (2015). The Use of Geographic Information Systems and Ecological Niche Modeling to Map Transmission Risk for Visceral Leishmaniasis in Salvador, Bahia, Brazil. [Ph.D. Thesis, Louisiana State University]."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1093\/milmed\/149.10.542","article-title":"Predicting areas endemic for schistosomiasis using weather variables and a Landsat database","volume":"149","author":"Cross","year":"1984","journal-title":"Mil. Med."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"714","DOI":"10.4269\/ajtmh.1994.50.714","article-title":"Temperature data from satellite imagery and the distribution of schistosomiasis in Egypt","volume":"50","author":"Malone","year":"1994","journal-title":"Am. J. Trop. Med. Hyg."},{"key":"ref_33","first-page":"299","article-title":"Development and validation of a satellite based Geographic information system (GIS) model for epidemiology of Schistosoma risk assessment at snail level in Kafr El Sheikh governorate","volume":"27","author":"Malone","year":"1997","journal-title":"J. Egypt. Soc. Parasitol."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Malone, J.B., Bergquist, R., and Rinaldi, L. (2016). Geospatial Surveillance and Response Systems for Schistosomiasis, CRC Press. Chapter 28.","DOI":"10.1201\/9781315368900-26"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Yang, G.J., and Bergquist, R. (2018). Potential Impact of Climate Change on Schistosomiasis: A Global Assessment Attempt. Trop. Med. Infect. Dis., 3.","DOI":"10.3390\/tropicalmed3040117"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1111\/j.1365-3156.2009.02440.x","article-title":"Spatial co-distribution of neglected tropical diseases in the East African Great Lakes region: Revisiting the justification for integrated control","volume":"15","author":"Clements","year":"2010","journal-title":"Trop. Med. Int. Health"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.actatropica.2013.08.016","article-title":"Closing in on \u2018perhaps the most dreadful of the remaining plagues\u2019: An independent view of the multidisciplinary alliance to optimize schistosomiasis control in Africa","volume":"128","author":"Bergquist","year":"2013","journal-title":"Acta Trop."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"127","DOI":"10.4081\/gh.2009.216","article-title":"Virtual globes and geospatial health: The potential of new tools in the management and control of vector-borne diseases","volume":"3","author":"Stensgaard","year":"2009","journal-title":"Geospat. Health"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.actatropica.2012.04.013","article-title":"Time to set the agenda for schistosomiasis elimination","volume":"128","author":"Rollinson","year":"2013","journal-title":"Acta Trop."},{"key":"ref_40","unstructured":"WHO (2012, January 17). Accelerating Work to Overcome the Global Impact of Neglected Tropical Diseases: A Roadmap for Implementation. Available online: http:\/\/www.who.int\/neglected_diseases\/NTD_RoadMap_2012_Fullversion.pdf."},{"key":"ref_41","first-page":"326","article-title":"Application of geo-spatial technology in schistosomiasis modeling in Africa: A review","volume":"10","author":"Mayangadze","year":"2015","journal-title":"Geospat. Health"},{"key":"ref_42","first-page":"95","article-title":"Schistosomiasis control in the 21st century. Proceedings of the International Symposium on Schistosomiasis, Shanghai, 4\u20136 July 2001","volume":"82","author":"Zhou","year":"2001","journal-title":"Acta Trop."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhu, H.R., Liu, L., Zhou, X.N., and Yang, G.J. (2015). Ecological Model to Predict Potential Habitats of Oncomelania hupensis, the Intermediate Host of Schistosoma japonicum in the Mountainous Regions, China. PLoS Negl. Trop. Dis., 9.","DOI":"10.1371\/journal.pntd.0004028"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"15843","DOI":"10.3390\/ijerph121215025","article-title":"Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology","volume":"12","author":"Wang","year":"2015","journal-title":"Int. J. Environ. Res. Publ. Health"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.ijpara.2004.11.002","article-title":"Bayesian-based approach for spatio-temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province","volume":"35","author":"Yang","year":"2005","journal-title":"China Int. J. Parasitol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"85","DOI":"10.4081\/gh.2006.283","article-title":"Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China","volume":"1","author":"Yang","year":"2006","journal-title":"Geospat. Health"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.actatropica.2005.07.029","article-title":"A geographic information and remote sensing based model for prediction of Oncomelania hupensis habitats in the Poyang Lake area, China","volume":"96","author":"Guo","year":"2005","journal-title":"Acta Trop."},{"key":"ref_48","first-page":"823","article-title":"Identification of snail habitats in the Poyang Lake region, based on the application of indices on joint normalized difference vegetation and water","volume":"33","author":"Wang","year":"2012","journal-title":"Zhonghua Liu Xing Bing Xue Za Zhi"},{"key":"ref_49","first-page":"1","article-title":"Implementing a geospatial health data infrastructure for control of Asian schistosomiasis in the People\u2019s Republic of China and the Philippines","volume":"73","author":"Malone","year":"2010","journal-title":"Adv. Parasitol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"147","DOI":"10.4081\/gh.2007.263","article-title":"Geographical information systems in health research and services delivery in the Philippines","volume":"1","author":"Leonardo","year":"2007","journal-title":"Geospat. Health"},{"key":"ref_51","first-page":"105","article-title":"A study of the environmental determinants of malaria and schistosomiasis in the Philippines using Remote Sensing and Geographic Information Systems","volume":"47","author":"Leonardo","year":"2005","journal-title":"Parassitologia"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"566","DOI":"10.4269\/ajtmh.1999.60.566","article-title":"Geographic information systems and the environmental risk of schistosomiasis in Bahia, Brazil","volume":"60","author":"Bavia","year":"1999","journal-title":"Am. J. Trop. Med. Hyg."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/S0001-706X(01)00105-X","article-title":"Use of thermal and vegetation index data from earth observing satellites to evaluate the risk of schistosomiasis in Bahia, Brazil","volume":"79","author":"Bavia","year":"2001","journal-title":"Acta Trop."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"51","DOI":"10.4081\/gh.2007.254","article-title":"The use of spatial tools in the study of Schistosoma mansoni and its intermediate host snails in Brazil: A brief review","volume":"2","author":"Gazzinelli","year":"2007","journal-title":"Geospat. Health"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.actatropica.2008.07.001","article-title":"Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques","volume":"108","author":"Freitas","year":"2008","journal-title":"Acta Trop."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1590\/S0074-02762010000400030","article-title":"A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil","volume":"105","author":"Freitas","year":"2010","journal-title":"Mem. Inst. Oswaldo Cruz"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.4081\/gh.2012.115","article-title":"Mapping and modelling neglected tropical diseases and poverty in Latin America and the Caribbean","volume":"6","author":"Malone","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"S103","DOI":"10.4081\/gh.2012.128","article-title":"Biomphalaria species distribution and its effect on human Schistosoma mansoni infection in an irrigated area used for rice cultivation in northeast Brazil","volume":"6","author":"Barboza","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"S95","DOI":"10.4081\/gh.2012.127","article-title":"Spatial distribution of Biomphalaria spp., the intermediate host snails of Schistosoma mansoni, in Brazil","volume":"6","author":"Scholte","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.actatropica.2011.11.010","article-title":"Large-scale determinants of intestinal schistosomiasis and intermediate host snail distribution across Africa: Does climate matter?","volume":"128","author":"Stensgaard","year":"2013","journal-title":"Acta Trop."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Tompkins, A., and Caporaso, L. (2016). Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models. Geospat. Health, 11.","DOI":"10.4081\/gh.2016.380"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Bizimana, J.P., Kienberger, S., Hagenlocher, M., and Twarabamenye, E. (2016). Modelling homogeneous regions of social vulnerability to malaria in Rwanda. Geospat. Health, 11.","DOI":"10.4081\/gh.2016.404"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/s13071-014-0617-0","article-title":"Predicting the effects of climate change on Schistosoma mansoni transmission in eastern Africa","volume":"8","author":"McCreech","year":"2015","journal-title":"Parasites Vectors"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Taylor, D., Hagenlocher, M., Jones, A., Kienberger, S., Leedale, J., and Morse, A. (2016). Environmental change and Rift Valley fever in eastern Africa: Projecting beyond Healthy futures. Geospat. Health, 11.","DOI":"10.4081\/gh.2016.387"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s12963-015-0036-2","article-title":"Mapping malaria risk and vulnerability in the United Republic of Tanzania: A spatial explicit model","volume":"13","author":"Hagenlocher","year":"2015","journal-title":"Popul. Health Metr."},{"key":"ref_66","unstructured":"Chapman, H. (2018, October 11). NASA Health and Air Quality (HAQ) Newsletter, Volume 16, June\u2013September 2018, Available online: https:\/\/appliedsciences.nasa.gov\/system\/files\/sites\/default\/files\/HAQ%20Newsletter%20Jun-Sept18.pdf."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/1476-072X-4-22","article-title":"Web GIS in practice III: Creating a simple interactive map of England\u2019s Strategic Health Authorities using Google Maps API, Google Earth KML, and MSN Virtual Earth Map Control","volume":"21","author":"Boulos","year":"2005","journal-title":"Int. J. Health Geogr."},{"key":"ref_68","first-page":"137","article-title":"How virtual globes are revolutionizing Earth observation data access and integration","volume":"37","author":"Elvidge","year":"2008","journal-title":"Int. Arch. Photogram. Rem. Sens. Spat. Inf. Sci."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1089\/vbz.2012.1238","article-title":"Lymphatic filariasis transmission risk map of India based on a geo-environmental risk model","volume":"13","author":"Sabeson","year":"2013","journal-title":"Vector Borne Zoonotic Dis."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3923\/jp.2018.19.35","article-title":"Spatial distribution and modeling of soil transmitted helminthes infection in Nigeria","volume":"13","author":"Yaro","year":"2018","journal-title":"Research J. Parasitol."}],"container-title":["Tropical Medicine and Infectious Disease"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2414-6366\/4\/1\/15\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:27:08Z","timestamp":1760185628000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2414-6366\/4\/1\/15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,18]]},"references-count":70,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,3]]}},"alternative-id":["tropicalmed4010015"],"URL":"https:\/\/doi.org\/10.3390\/tropicalmed4010015","relation":{},"ISSN":["2414-6366"],"issn-type":[{"value":"2414-6366","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,18]]}}}