Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Department of Health Protection and Communicable Disease Control, Ministry of Public Health, Doha, Qatar.
Front Public Health. 2023 Jan 16;10:970694. doi: 10.3389/fpubh.2022.970694. eCollection 2022.
Qatar is a peninsular country with predominantly hot and humid weather, with 88% of the total population being immigrants. As such, it leaves the country liable to the introduction and dissemination of vector-borne diseases, in part due to the presence of native arthropod vectors. Qatar's weather is expected to become warmer with the changing climatic conditions across the globe. Environmental factors such as humidity and temperature contribute to the breeding and distribution of different types of mosquito species in a given region. If proper and timely precautions are not taken, a high rate of particular mosquito species can result in the transmission of various vector-borne diseases. In this study, we analyzed the environmental impact on the probability of occurrence of different mosquito species collected from several different sites in Qatar. The Naive Bayes model was used to calculate the posterior probability for various mosquito species. Further, the resulting Naive Bayes predictions were used to define the favorable environmental circumstances for identified mosquito species. The findings of this study will help in the planning and implementation of an active surveillance system and preventive measures to curb the spread of mosquitoes in Qatar.
卡塔尔是一个半岛国家，主要气候炎热潮湿，总人口中有 88%是移民。因此，该国容易引入和传播病媒传播疾病，部分原因是本地节肢动物媒介的存在。随着全球气候条件的变化，卡塔尔的天气预计将变得更加温暖。湿度和温度等环境因素有助于在特定地区繁殖和分布不同类型的蚊子。如果不采取适当和及时的预防措施，特定蚊子种类的高发病率可能导致各种病媒传播疾病的传播。在这项研究中，我们分析了环境对从卡塔尔几个不同地点采集的不同蚊子种类发生概率的影响。朴素贝叶斯模型用于计算各种蚊子种类的后验概率。此外，所得朴素贝叶斯预测结果用于定义确定的蚊子种类的有利环境条件。这项研究的结果将有助于规划和实施主动监测系统和预防措施，以遏制卡塔尔的蚊子传播。
