{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:43:34Z","timestamp":1785545014587,"version":"3.56.0"},"reference-count":0,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Sub-Saharan Africa continues to face the highest malaria burden worldwide, accounting for 95% of malaria cases and deaths according to the World Health Organization. In this\n                    <jats:italic>News and Perspectives<\/jats:italic>\n                    article, JMIR Correspondent Sharon Muzaki reports on a new artificial intelligence system in sub-Saharan Africa that could help improve public health responses to the disease.\n                  <\/jats:p>","DOI":"10.2196\/105472","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T04:47:55Z","timestamp":1782881275000},"page":"e105472-e105472","source":"Crossref","is-referenced-by-count":0,"title":["Building a Malaria Intelligence System for Real-Time Prediction and Data-Driven Intervention Planning"],"prefix":"10.2196","volume":"28","author":[{"given":"Sharon","family":"Muzaki","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,6,30]]},"container-title":["Journal of Medical Internet Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jmir.org\/2026\/1\/e105472","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T22:22:50Z","timestamp":1785536570000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jmir.org\/2026\/1\/e105472"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,30]]},"references-count":0,"URL":"https:\/\/doi.org\/10.2196\/105472","relation":{},"ISSN":["1438-8871"],"issn-type":[{"value":"1438-8871","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,30]]},"article-number":"v28i1e105472"}}