{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T03:24:29Z","timestamp":1790997869249,"version":"4.1.0"},"reference-count":26,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T00:00:00Z","timestamp":1755561600000},"content-version":"vor","delay-in-days":230,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["109981-001"],"award-info":[{"award-number":["109981-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Tropical Medicine"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>\n                    <jats:bold>Background:<\/jats:bold>\n                    Rapid digital responses to pandemics highlight advancements in healthcare, data sharing, and artificial intelligence (AI). While AI has driven progress in precision medicine, drug discovery, and vaccine development, its application to emerging and reemerging infectious diseases (ERIDs) remains underexplored, presenting critical challenges in addressing future health threats.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Objectives:<\/jats:bold>\n                    The study evaluated knowledge of ERIDs, AI, and Digital One Health (DOH) technologies, examined preparedness for their adoption in home healthcare, and identified factors influencing readiness to utilize these technologies in selected health districts of Cameroon.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Methods:<\/jats:bold>\n                    A cross\u2010sectional study assessed the preparedness of communities in Buea, Limbe, Bonassama, and New\u2010Bell Health Districts to adopt AI and DOH technologies from April to May 2024. Systematic random sampling included 33 communities, with data collected using face\u2010to\u2010face structured questionnaires. Analysis using SPSS Version 26 involved descriptive statistics and logistic regression, with statistical significance set at\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.05 and a 95% confidence interval to identify key associations.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Results:<\/jats:bold>\n                    Among 1625 participants, only 280 (17.2%) had good knowledge of ERIDs, with COVID\u201019 (68.8%) and cholera (94.5%) being the most recognized examples. Knowledge of AI and DOH technologies was poor, with only 166 (10.2%) demonstrating accurate understanding. Early disease detection emerged as a critical application of AI for ERID control. Preparedness to adopt AI and DOH technologies was reported by 941 (57.9%), with 64.5% comfortable with AI\u2010generated interpretations and willing to use digital health tools during ERID outbreaks. Factors independently associated with preparedness included being a student (AOR\u2009=\u20092.678; 95% CI: 1.744\u20134.113;\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001), good knowledge of AI and DOH (AOR\u2009=\u20097.141; 95% CI: 4.192\u201312.162;\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001), and prior training on AI and digital health (AOR\u2009=\u20093.081; 95% CI: 2.272\u20134.179;\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001).\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    The study revealed insufficient knowledge of ERIDs, AI, and DOH but high preparedness to adopt these technologies for home care. Enhanced educational campaigns are recommended to improve community understanding and effective utilization of AI and DOH for controlling ERIDs.\n                  <\/jats:p>","DOI":"10.1155\/jotm\/8896234","type":"journal-article","created":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T15:18:59Z","timestamp":1755616739000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Preparedness of the Local Population for the Uptake of Artificial Intelligence and Digital One Health for Home Healthcare of Emerging and Reemerging Infectious Diseases in Southwest and Littoral Regions of Cameroon"],"prefix":"10.1155","volume":"2025","author":[{"given":"Ettah Agnes","family":"Asonganyi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8395-6504","authenticated-orcid":false,"given":"Elvis Asangbeng","family":"Tanue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2222-8105","authenticated-orcid":false,"given":"Ginyu Innocentia","family":"Kwalar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Odette Dzemo","family":"Kibu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moise","family":"Ondua","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maurice Marcel","family":"Sandeu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick Jolly","family":"Ngono Ema","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Denis","family":"Nkweteyim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madeleine L.","family":"Nyamsi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter L.","family":"Achankeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Tchapga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justine","family":"Ayuk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory Eddie","family":"Halle-Ekane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jude Dzevela","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7519-0991","authenticated-orcid":false,"given":"Dickson Shey","family":"Nsagha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,8,19]]},"reference":[{"key":"e_1_2_13_1_2","volume-title":"One Health","author":"World Health Organization","year":"2023"},{"key":"e_1_2_13_2_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2202871119"},{"key":"e_1_2_13_3_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-015-2617-1"},{"key":"e_1_2_13_4_2","doi-asserted-by":"publisher","DOI":"10.1055\/s-0043-1768718"},{"key":"e_1_2_13_5_2","volume-title":"The One-Health Approach to Infectious Disease Outbreaks Control","author":"Sima Ernest R.","year":"2021"},{"key":"e_1_2_13_6_2","doi-asserted-by":"publisher","DOI":"10.3402\/iee.v5.30048"},{"key":"e_1_2_13_7_2","first-page":"1","article-title":"A Digital One Health Framework to Integrate Data for Public Health Decisions","volume":"1","author":"Redman C. 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