Odds that a pool identified to a specific mosquito species tested positive for any of seven arboviruses circulating in Connecticut, U.S. from 2001–2018.

Odds ratios were generated from arbovirus-specific binomial error generalized linear mixed effects models with infection status (1 –positive, 0 –negative) as the response variable, pool size as an intercept offset, trap type as a fixed effect term, and site, week, year, and species as random intercept terms. Only odds ratios which 95% confidence limits (CI) did not include unity are shown.本研究基于虫媒病毒特异性二项误差广义线性混合效应模型（binomial error generalized linear mixed effects models）计算得到比值比（odds ratios）。该模型以感染状态（1为阳性，0为阴性）作为响应变量，以样本池大小作为截距偏移量，诱捕器类型作为固定效应项，并将采样地点、采样周次、采样年份及物种设为随机截距项。仅展示95%置信限（CI）未包含1的比值比结果。