Analysis of the effects of different temperature levels in Changsha on human adenovirus infection
Objective The objective of this study was to examine the impact and lag effects of varying temperature levels on human adenovirus(HAdV)infection.Methods We collected information on HAdV infection in 2020 and meteorological data for the same period from three sentinel hospitals in Changsha.Spearman rank correlation was employed to analyze the relationship between meteorological factors and the number of HAdV infection cases.Different temperature levels,including daily average,daily maximum,and daily minimum,were categorized using thresholds below P2.5 and above P97.5 to define extremely low and high temperatures.The distributed lag nonlinear model(DLNM)was utilized to investigate the impact and lag effect of different temperature levels on HAdV infection.Results In 2020,a total of 41 624 specimens were examined in Changsha,with 1 693 yielding positive results for HAdV,resulting in a prevalence rate of 4.07％.Of these cases,infants and children aged 0-4 years comprised 67.04％.Spearman rank correlation analysis indicated that weak associations(all P＜0.05)between HAdV infection and daily average temperature(rs=-0.121),daily maximum temperature(rs=-0.110),and daily minimum temperature(rs=-0.119).The distributed lag nonlinear model(DLNM)showed that both three-dimensional plot(3-D plot)and contour plots revealed a noticeable short-term effect of high temperature on the risk of HAdV infection.Specifically,under extremely high temperature conditions,both daily average and daily minimum temperatures were found to exhibit a lagged impact on the risk of HAdV infection for a single day.Moreover,the cumulative effects of daily average and daily maximum temperatures displayed a gradual increase with longer lag periods.At a lag of 21 days,the relative risks rose to 15.79(95％CI:2.69-92.79)and 11.81(95％CI:2.26-61.68),respectively.Additionally,the cumulative effect of daily minimum temperature reached its peak at a lag of 4 days(RR=6.78,95％CI:1.05-43.83).Conclusions Infants and young children are particularly vulnera-ble to HAdV infection.The study findings reveal significant correlations between different temperature lev-els and the occurrence of HAdV infection.Moreover,the study highlights the significant immediate and cumulative lag effects of extreme temperatures on HAdV infection risk in Changsha.
TemperatureHuman adenovirusSentinel surveillanceDistribution lag nonlinear model
万方数据
维普
