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利用媒介物、宿主和环境数据预测芬兰辛德毕斯病毒(SINV)感染风险的空间模式。

Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data.

机构信息

Department of Geosciences and Geography, University of Helsinki, P.O. Box 64, FI-00014 Helsinki, Finland.

Department of Virology, University of Helsinki, Haartmaninkatu 3, P.O. Box 21, FI-00014 Helsinki, Finland.

出版信息

Int J Environ Res Public Health. 2021 Jul 1;18(13):7064. doi: 10.3390/ijerph18137064.

Abstract

Pogosta disease is a mosquito-borne infection, caused by Sindbis virus (SINV), which causes epidemics of febrile rash and arthritis in Northern Europe and South Africa. Resident grouse and migratory birds play a significant role as amplifying hosts and various mosquito species, including , , and are documented vectors. As specific treatments are not available for SINV infections, and joint symptoms may persist, the public health burden is considerable in endemic areas. To predict the environmental suitability for SINV infections in Finland, we applied a suite of geospatial and statistical modeling techniques to disease occurrence data. Using an ensemble approach, we first produced environmental suitability maps for potential SINV vectors in Finland. These suitability maps were then combined with grouse densities and environmental data to identify the influential determinants for SINV infections and to predict the risk of Pogosta disease in Finnish municipalities. Our predictions suggest that both the environmental suitability for vectors and the high risk of Pogosta disease are focused in geographically restricted areas. This provides evidence that the presence of both SINV vector species and grouse densities can predict the occurrence of the disease. The results support material for public-health officials when determining area-specific recommendations and deliver information to health care personnel to raise awareness of the disease among physicians.

摘要

波戈斯达病是一种由辛德毕斯病毒(SINV)引起的蚊媒感染病,在北欧和南非引发发热性皮疹和关节炎的流行。留鸟松鸡和候鸟在作为扩增宿主方面发挥着重要作用,包括 、 、 和 在内的各种蚊子被记录为传播媒介。由于目前尚无针对 SINV 感染的特定治疗方法,且关节症状可能持续存在,因此在流行地区,公共卫生负担相当大。为了预测芬兰的辛德毕斯病毒感染的环境适宜性,我们应用了一套地理空间和统计建模技术来分析疾病发生数据。我们首先采用集成方法,为芬兰的潜在 SINV 传播媒介生成了环境适宜性地图。然后,我们将这些适宜性地图与松鸡密度和环境数据相结合,以确定 SINV 感染的影响因素,并预测芬兰各城市的波戈斯达病风险。我们的预测表明,SINV 传播媒介的环境适宜性和波戈斯达病的高风险都集中在地理上受限的地区。这表明 SINV 传播媒介和松鸡密度的存在都可以预测疾病的发生。这些结果为公共卫生官员在确定特定区域的建议时提供了依据,并为医疗保健人员提供了信息,以提高医生对该病的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ebf/8296873/3d73c578b8ea/ijerph-18-07064-g0A1.jpg

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