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- Title
Disease mapping for spatially semi‐continuous data by estimating equations with application to dengue control.
- Authors
Lin, Pei‐Sheng; Yu, Yih‐Jeng; Zhu, Jun
- Abstract
Disease mapping is a research field to estimate spatial pattern of disease risks so that areas with elevated risk levels can be identified. The motivation of this article is from a study of dengue fever infection, which causes seasonal epidemics in almost every summer in Taiwan. For analysis of zero‐inflated data with spatial correlation and covariates, current methods would either cause a computational burden or miss associations between zero and non‐zero responses. In this article, we develop estimating equations for a mixture regression model that accommodates spatial dependence and zero inflation for study of disease propagation. Asymptotic properties for the proposed estimates are established. A simulation study is conducted to evaluate performance of the mixture estimating equations; and a dengue dataset from southern Taiwan is used to illustrate the proposed method.
- Subjects
TAIWAN; DISEASE mapping; DENGUE; DENGUE hemorrhagic fever; EQUATIONS; REGRESSION analysis; DATA analysis
- Publication
Statistics in Medicine, 2023, Vol 42, Issue 20, p3636
- ISSN
0277-6715
- Publication type
Article
- DOI
10.1002/sim.9822