Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

Autor: Qingwu Jiang, Bo Tao, Jie Gao, Robert Bergquist, Qiu-Lin Jiang, Yi Hu, Chenglong Xiong, Rui Li, Zhijie Zhang, Zeng-Liang Wang
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Geospatial Health, Vol 8, Iss 1, Pp 125-132 (2013)
ISSN: 1970-7096
1827-1987
Popis: When modelling prevalence data, epidemiological studies usually employ either Gaussian, binomial or Poisson mod- els. However, reasons are seldom given in the literature why the chosen model was felt to be the most appropriate. In this study, we compared all three models for fitting schistosomiasis risk in Xingzi county, Jiangxi province, People's Republic of China. Parasitological data from conventional surveys were available for 36,208 individuals aged between 6 and 65 years from 42 sam- pled villages and used in combination with environmental data to map the spatial patterns of schistosomiasis risk. The results show that the Poisson model fitted the data best and this model identified the role of environmental risk factors in explaining the geographical variation of schistosomiasis risk. These factors were further used to develop a predictive map, which has important implications for the control and eventual elimination of schistosomiasis in the People's Republic of China.
Databáze: OpenAIRE