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However, <jats:italic>P. vivax<\/jats:italic> share a large number in Ethiopia than any other countries in Africa, followed by the closest countries. This research aims to examine the spatiotemporal trends in the risk of malaria caused by <jats:italic>P. falciparum<\/jats:italic> and <jats:italic>P. vivax<\/jats:italic> in Ethiopia and other countries that share borders between 2011 and 2020.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>This study was carried-out in seven East African countries in 115 administration level 1 (region) settings. We used secondary data on two <jats:italic>plasmodium<\/jats:italic> parasites, <jats:italic>P. falciparum<\/jats:italic>, and <jats:italic>P. vivax<\/jats:italic>, between 2011 and 2020 from the Malaria Atlas Project. This study used a Bayesian setup with an integrated nested Laplace approximation to adopt spatiotemporal models.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We analyzed <jats:italic>P. falciparum<\/jats:italic> and <jats:italic>P. vivax<\/jats:italic> malaria incidence data from 2011 to 2020 in 115 regions. Between 2011 and 2020, all of South Sudan's areas, Ethiopia's Gambella region, and Kenya\u2019s Homa Bay, Siaya, Busia, Kakamega, and Vihita regions were at a higher risk of contracting <jats:italic>P. falciparum<\/jats:italic> malaria than their neighbors in seven East African nations. However, the Southern Nations, nationalities, and people, as well as the Oromia, Harari, Afar, and Amhara areas in Ethiopia, and the Blue Nile in Sudan, are the regions with a higher risk of <jats:italic>P. vivax<\/jats:italic> malaria than their bordering regions. For both <jats:italic>P. falciparum<\/jats:italic> and <jats:italic>P. vivax<\/jats:italic>, the spatially coordinated main effect and the unstructured spatial effect show minimal fluctuation across and within 115 regions during the study period. Through a random walk across 115 regions, the time-structured effect of <jats:italic>P. falciparum<\/jats:italic> malaria risk shows linear increases, whereas the temporally structured effect of <jats:italic>P. vivax<\/jats:italic> shows increases from 2011 to 2014 and decreases from 2017 to 2020.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>The global malaria control and eradication effort should concentrate particularly on the South Sudan and Ethiopia regions to provide more intervention control to lower the risk of malaria incidence in East African countries, as both countries have high levels of <jats:italic>P. falciparum<\/jats:italic> and <jats:italic>P. vivax<\/jats:italic>, respectively.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Graphical Abstract<\/jats:title>\n          <\/jats:sec>","DOI":"10.1186\/s40249-025-01320-w","type":"journal-article","created":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T07:48:29Z","timestamp":1752220109000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Trend of malaria parasites infection in Ethiopia along an international border: a Bayesian spatio-temporal study"],"prefix":"10.1186","volume":"14","author":[{"given":"Changkuoth Jock","family":"Chol","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8740-0503","authenticated-orcid":false,"given":"Denekew Bitew","family":"Belay","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haile Mekonnen","family":"Fenta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ding-Geng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,11]]},"reference":[{"key":"1320_CR1","unstructured":"World Health Organization.World malaria report 2021. https:\/\/cdn.who.int\/media\/docs\/default-source\/malaria\/world-malaria-reports\/world-malaria-report-2021-global-briefing-kit-eng.pdf?sfvrsn=8e5e915_23&download=true. 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