Judson Seth D, Kenu Ernest, Fuller Trevon, Asiedu-Bekoe Franklin, Biritwum-Nyarko Alberta, Schroeder Lee F, Dowdy David W
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Department of Epidemiology, University of Ghana School of Public Health, Accra, Ghana.
medRxiv. 2024 Jan 30:2024.01.29.24301911. doi: 10.1101/2024.01.29.24301911.
Understanding the epidemiology and ecology of yellow fever in endemic regions is critical for preventing future outbreaks. Ghana is a high-risk country for yellow fever. In this study we estimate the epidemiology, ecological cycles, and areas at risk for yellow fever in Ghana based on historical outbreaks. We identify 2371 cases and 887 deaths (case fatality rate 37.4%) from yellow fever reported in Ghana from 1910 to 2022. Since implementation of routine childhood vaccination in 1992, the estimated mean annual number of cases decreased by 81% and the geographic distribution of yellow fever cases also changed. While there have been multiple large historical outbreaks of yellow fever in Ghana from the urban cycle, recent outbreaks have originated among unvaccinated nomadic groups in rural areas with the sylvatic/savanna cycles. Using machine learning and an ecological niche modeling framework, we predict areas in Ghana that are similar to where prior yellow fever outbreaks have originated based on temperature, precipitation, landcover, elevation, and human population density. We find differences in predictions depending on the ecological cycles of outbreaks. Ultimately, these findings and methods could be used to inform further subnational risk assessments for yellow fever in Ghana and other high-risk countries.
了解流行地区黄热病的流行病学和生态学对于预防未来疫情爆发至关重要。加纳是黄热病的高风险国家。在本研究中,我们基于历史疫情估计了加纳黄热病的流行病学、生态循环和风险区域。我们确定了1910年至2022年加纳报告的2371例黄热病病例和887例死亡(病死率37.4%)。自1992年实施儿童常规疫苗接种以来,估计年均病例数下降了81%,黄热病病例的地理分布也发生了变化。虽然加纳城市循环曾多次发生大规模黄热病历史疫情,但最近的疫情起源于农村地区未接种疫苗的游牧群体,与丛林/稀树草原循环有关。利用机器学习和生态位建模框架,我们根据温度、降水、土地覆盖、海拔和人口密度预测加纳与先前黄热病疫情起源地相似的地区。我们发现根据疫情的生态循环,预测结果存在差异。最终,这些发现和方法可用于为加纳和其他高风险国家进一步开展黄热病次国家级风险评估提供信息。