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, United States of America.
Department of Epidemiology, University of Ghana School of Public Health, Accra, Ghana.
PLOS Glob Public Health. 2024 Oct 21;4(10):e0003337. doi: 10.1371/journal.pgph.0003337. eCollection 2024.
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 disease burden, ecological cycles, and areas at risk for yellow fever in Ghana based on historical outbreaks. We identify 2387 cases and 888 deaths (case fatality rate 37.7%) from yellow fever reported in Ghana from 1910 to 2022. During the approximately 30-year periods before and after implementation of routine childhood vaccination in 1992, the reported mean annual number of cases decreased by 80%. The geographic distribution of yellow fever cases has also changed over the past century. While there have been multiple large historical outbreaks of yellow fever in regions throughout Ghana, recent outbreaks have originated in northern regions. Comparing the locations where yellow fever outbreaks have emerged, we find patterns with seasons and different ecological transmission cycles. Using 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, vegetation, and human population density. We find that these predictions differ 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.
了解黄热病在流行地区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疾病负担、生态循环和风险区域。我们确定了1910年至2022年加纳报告的2387例黄热病病例和888例死亡(病死率37.7%)。在1992年实施儿童常规疫苗接种前后大约30年的时间里,报告的年均病例数下降了80%。黄热病病例的地理分布在过去一个世纪也发生了变化。虽然加纳各地曾多次发生大规模黄热病历史疫情,但最近的疫情起源于北部地区。比较黄热病疫情出现的地点,我们发现了与季节和不同生态传播周期相关的模式。使用生态位建模框架,我们根据温度、降水、植被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。我们发现这些预测因疫情的生态循环而异。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的次国家级风险评估提供信息。