Volume 31, Number 6—June 2025
Research
Force of Infection Model for Estimating Time to Dengue Virus Seropositivity among Expatriate Populations, Thailand
Table 3
Estimates from univariate logistic models of dengue seropositivity by years in a dengue-endemic area in study of force of infection model for estimating time to dengue virus seropositivity among expatriate populations, Thailand*
Covariate in univariate models | Odds ratio (95% CI) |
---|---|
Years unexposed | 1.01 (0.9–1.02) |
Average daily time outside, h | 0.98 (0.92–1.03) |
Male sex | 1.24 (0.69–2.25) |
Married to native of Southeast Asia | 0.75 (0.44–1.22) |
Employed | 0.72 (0.45–1.48) |
Urban living setting | 2.04 (0.93–4.49) |
Frequent use of mosquito repellent | 1.11 (0.65–1.91) |
Frequent use of mosquito nets | 1.02 (0.61–1.71) |
Frequent use of window screens | 1.02 (0.63–1.65) |
Frequent use of long sleeves | 0.66 (0.41–1.07) |
Frequent use of air conditioning | 0.75 (0.46–1.24) |
*Force of infection for years in dengue-endemic area (DEA) is 0.04 (95% CI 0.03–0.06). Serocatalytic models estimating dengue force of infection were fit using a binomial model with a cloglog link function with log(years in DEA) as an offset. Crude model contains only log(years in DEA) offset. Univariate models included 1 covariate and the log(years in DEA) offset.
1These last authors contributed equally to this article.
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