Author: Lai, Poh-Chin; Chow, Chun Bong; Wong, Ho Ting; Kwong, Kim Hung; Liu, Shao Haei; Tong, Wah Kun; Cheung, Wai Keung; Wong, Wing Leung; Kwan, Yat Wah
Title: Effects of geographic scale on population factors in acute disease diffusion analysis Cord-id: e734j9m8 Document date: 2015_7_29
ID: e734j9m8
Snippet: OBJECTIVE: To explore socio-demographic data of the population as proxies for risk factors in disease transmission modeling at different geographic scales. METHODS: Patient records of confirmed H1N1 influenza were analyzed at three geographic aggregation levels together with population census statistics. RESULTS: The study confirmed that four population factors were related in different degrees to disease incidence, but the results varied according to spatial resolution. The degree of associatio
Document: OBJECTIVE: To explore socio-demographic data of the population as proxies for risk factors in disease transmission modeling at different geographic scales. METHODS: Patient records of confirmed H1N1 influenza were analyzed at three geographic aggregation levels together with population census statistics. RESULTS: The study confirmed that four population factors were related in different degrees to disease incidence, but the results varied according to spatial resolution. The degree of association actually decreased when data of a higher spatial resolution were used. CONCLUSIONS: We concluded that variables at suitable spatial resolution may be useful in improving the predictive powers of models for disease outbreaks.
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