Remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases.
Similar to species immigration or exotic species invasion, infectious disease transmission is strengthened due to the globalization of human activities. Using schistosomiasis as an example, we propose a conceptual model simulating the spatio-temporal dynamics of infectious diseases. We base the model on the knowledge of the interrelationship among the source, media, and the hosts of the disease. With the endemics data of schistosomiasis in Xichang, China, we demonstrate that the conceptual model is feasible; we introduce how remote sensing and geographic information systems techniques can be used in support of spatio-temporal modeling; we compare the different effects caused to the entire population when selecting different groups of people for schistosomiasis control. Our work illustrates the importance of such a modeling tool in supporting spatial decisions. Our modeling method can be directly applied to such infectious diseases as the plague, lyme disease, and hemorrhagic fever with renal syndrome. The application of remote sensing and geographic information systems can shed light on the modeling of other infectious disease and invasive species studies.
Gong
Peng
P
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, Box 9718, Beijing 100101, China. gong@irsa.ac.cn
Xu
Bing
B
Liang
Song
S
D000818:Animals; D003140:Communicable Disease Control; D003141:Communicable Diseases / Q000453:epidemiology*; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D012552:Schistosomiasis / Q000453:epidemiology