Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania.
Department of Computer Science, Hamburg University of Applied Sciences, Berliner Tor 7, 20099 Hamburg, Germany.
Int J Environ Res Public Health. 2022 Nov 24;19(23):15578. doi: 10.3390/ijerph192315578.
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.
本研究旨在回顾基于主体的建模在文献中的应用,以及气候和环境因素对疾病爆发、传播和监测的影响。因此,本研究旨在利用基于主体的模型,在非洲背景和全球范围内,研究植被指数、家庭、蚊子栖息地、繁殖地等环境变量以及降水、温度、风速和相对湿度等气候变量对登革热建模的影响。制定了搜索策略,并利用该策略从四个数据库(PubMed、Scopus、Research4Life 和 Google Scholar)中搜索相关文章。制定了纳入标准,有 20 篇文章符合标准并纳入了综述。从文献综述中可以看出,气候和环境因素可能会影响虫媒病毒病的爆发、传播和监测。因此,需要进一步研究这一领域。为了从虫媒病毒建模中受益,必须考虑气候和环境因素的影响,特别是在非洲,那里对这一现象的研究有限。