{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T13:35:36Z","timestamp":1790948136617,"version":"4.1.0"},"reference-count":99,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T00:00:00Z","timestamp":1669248000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>The study sought to review the works of literature on agent-based modeling and the influence of climatic and environmental factors on disease outbreak, transmission, and surveillance. Thus, drawing the influence of environmental variables such as vegetation index, households, mosquito habitats, breeding sites, and climatic variables including precipitation or rainfall, temperature, wind speed, and relative humidity on dengue disease modeling using the agent-based model in an African context and globally was the aim of the study. A search strategy was developed and used to search for relevant articles from four databases, namely, PubMed, Scopus, Research4Life, and Google Scholar. Inclusion criteria were developed, and 20 articles met the criteria and have been included in the review. From the reviewed works of literature, the study observed that climatic and environmental factors may influence the arbovirus disease outbreak, transmission, and surveillance. Thus, there is a call for further research on the area. To benefit from arbovirus modeling, it is crucial to consider the influence of climatic and environmental factors, especially in Africa, where there are limited studies exploring this phenomenon.<\/jats:p>","DOI":"10.3390\/ijerph192315578","type":"journal-article","created":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T01:46:56Z","timestamp":1669254416000},"page":"15578","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7800-2079","authenticated-orcid":false,"given":"Luba","family":"Pascoe","sequence":"first","affiliation":[{"name":"Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8200-5141","authenticated-orcid":false,"given":"Thomas","family":"Clemen","sequence":"additional","affiliation":[{"name":"Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania"},{"name":"Department of Computer Science, Hamburg University of Applied Sciences, Berliner Tor 7, 20099 Hamburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3979-5675","authenticated-orcid":false,"given":"Karen","family":"Bradshaw","sequence":"additional","affiliation":[{"name":"Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania"},{"name":"Department of Computer Science, Rhodes University, Grahamstown 6139, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3763-9302","authenticated-orcid":false,"given":"Devotha","family":"Nyambo","sequence":"additional","affiliation":[{"name":"Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,24]]},"reference":[{"key":"ref_1","first-page":"113","article-title":"Mathematical epidemiology: Past, present, and future","volume":"2","author":"Brauer","year":"2017","journal-title":"Infect. 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