{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T07:56:24Z","timestamp":1787730984532,"version":"build-2784847793"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T00:00:00Z","timestamp":1735862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100000683","name":"Royal Society of Tropical Medicine and Hygiene","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000683","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000884","name":"CRI","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000884","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Snakebite envenoming is a medical emergency that requires rapid access to essential medicines and well-trained personnel. In resource-poor countries, mapping snakebite incidence can help policymakers to make evidence-based decisions for resource prioritisation. This study aimed to characterise the spatial variation in snakebite risk, and in particular to identify areas of relatively high and low risk, in Eastern Province, Rwanda.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Snakebite surveillance of people bitten in 2020 was conducted in Eastern Province through household visits and case verification. Geostatistical modelling and predictive mapping were applied to data from 617 villages in six districts to develop sector-level and district-level risk maps.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>There were 1217 individuals bitten by snakes across six districts. The estimated population-weighted snakebite incidence in Eastern Province was 440 (95% predictive interval 421 to 460) cases per 100 000 people, corresponding to 13 500 (95% predictive interval 12 950 to 14 150) snakebite events per year. Two sectors in the southwest, Gashanda and Jarama, showed &amp;gt;1500 snakebite events per 100 000 annually. The lowest incidence was observed in the north.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Considerable differences exist in snakebite risk between sectors in Eastern Province, with the highest risk concentrated in the southwest. Policymakers should consider prioritising resources related to snakebite prevention, essential medicines and health worker training in this region.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/trstmh\/trae069","type":"journal-article","created":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T10:04:38Z","timestamp":1735898678000},"page":"310-316","source":"Crossref","is-referenced-by-count":2,"title":["Community-based snakebite risk mapping for resource prioritisation in Eastern Province, Rwanda"],"prefix":"10.1093","volume":"119","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5679-2893","authenticated-orcid":false,"given":"Dileepa Senajith","family":"Ediriweera","sequence":"first","affiliation":[{"name":"Health Data Science Unit, Faculty of Medicine, University of Kelaniya , Ragama 11010 ,","place":["Sri Lanka"]},{"name":"Centre for Health Informatics, Computing and Statistics, Lancaster University Medical School , Lancaster LA1 4YW ,","place":["UK"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dieudonne","family":"Hakizimana","sequence":"additional","affiliation":[{"name":"Center for One Health, University of Global Health Equity , P.O. Box 6955, Butaro ,","place":["Rwanda"]},{"name":"University of Washington, Department of Global Health , Seattle 98105 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3521-5020","authenticated-orcid":false,"given":"Peter J","family":"Diggle","sequence":"additional","affiliation":[{"name":"Centre for Health Informatics, Computing and Statistics, Lancaster University Medical School , Lancaster LA1 4YW ,","place":["UK"]},{"name":"Liverpool School of Tropical Medicine , Liverpool L3 5QA ,","place":["UK"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Janna M","family":"Schurer","sequence":"additional","affiliation":[{"name":"Center for One Health, University of Global Health Equity , P.O. 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