Unknown

Dataset Information

0

Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China.


ABSTRACT: Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in Shandong Province, China. In this study, we combined ecologic niche modeling with geographic information systems (GIS) and remote sensing techniques to identify the risk factors and affected areas of hantavirus infections in rodent hosts. Land cover and elevation were found to be closely associated with the presence of hantavirus-infected rodent hosts. The averaged area under the receiver operating characteristic curve was 0.864, implying good performance. The predicted risk maps based on the model were validated both by the hantavirus-infected rodents' distribution and HFRS human case localities with a good fit. These findings have the applications for targeting control and prevention efforts.

SUBMITTER: Wei L 

PROVIDER: S-EPMC3042829 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China.

Wei Lan L   Qian Quan Q   Wang Zhi-Qiang ZQ   Glass Gregory E GE   Song Shao-Xia SX   Zhang Wen-Yi WY   Li Xiu-Jun XJ   Yang Hong H   Wang Xian-Jun XJ   Fang Li-Qun LQ   Cao Wu-Chun WC  

The American journal of tropical medicine and hygiene 20110301 3


Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in Shandong Province, China. In this study, we combined ecologic niche modeling with geographic information systems (GIS) and remote sensing techniques to identify the risk factors and affected areas of hantavirus infections in rodent hosts. Land cover and elevation were found to be closely associated with the presence of hantavirus-infected rodent hosts. The averaged area under the receiver operating characterist  ...[more]

Similar Datasets

| S-EPMC5782879 | biostudies-literature
| S-EPMC6318823 | biostudies-literature
| S-EPMC4269885 | biostudies-literature
| S-EPMC10986517 | biostudies-literature
| S-EPMC8462322 | biostudies-literature
| S-EPMC9603364 | biostudies-literature
| S-EPMC5889548 | biostudies-literature
| S-EPMC11101045 | biostudies-literature