tetano
Editor, Senior Moderator
Int J Environ Health Res
. 2023 Jan 17;1-12.
doi: 10.1080/09603123.2023.2167948. Online ahead of print.
The role of absolute humidity in influenza transmission in Beijing, China: risk assessment and attributable fraction identification
Li Zhang[SUP] 1 2 [/SUP], Chunna Ma[SUP] 2 [/SUP], Wei Duan[SUP] 2 [/SUP], Jie Yuan[SUP] 1 [/SUP], Shuangsheng Wu[SUP] 2 [/SUP], Ying Sun[SUP] 2 [/SUP], Jiaojiao Zhang[SUP] 2 [/SUP], Jue Liu[SUP] 1 [/SUP], Quanyi Wang[SUP] 2 [/SUP], Min Liu[SUP] 1 [/SUP]
Affiliations
Abstract
To assess the impact of absolute humidity on influenza transmission in Beijing from 2014 to 2019, we estimated the influenza transmissibility via the instantaneous reproduction number (R[SUB]t[/SUB]), and evaluated its nonlinear exposure-response association and delayed effects with absolute humidity by using the distributed lag nonlinear model (DLNM). Attributable fraction (AF) of R[SUB]t[/SUB] due to absolute humidity was calculated. The result showed a significant M-shaped relationship between R[SUB]t[/SUB] and absolute humidity. Compared with the effect of high absolute humidity, the low absolute humidity effect was more immediate with the most significant effect observed at lag 6 days. AFs were relatively high for the group aged 15-24 years, and was the lowest for the group aged 0-4 years with low absolute humidity. Therefore, we concluded that the component attributed to the low absolute humidity effect is greater. Young and middle-aged people are more sensitive to low absolute humidity than children and elderly.
Keywords: Influenza transmission; absolute humidity; attributable risk; exposure assessment; infections.
. 2023 Jan 17;1-12.
doi: 10.1080/09603123.2023.2167948. Online ahead of print.
The role of absolute humidity in influenza transmission in Beijing, China: risk assessment and attributable fraction identification
Li Zhang[SUP] 1 2 [/SUP], Chunna Ma[SUP] 2 [/SUP], Wei Duan[SUP] 2 [/SUP], Jie Yuan[SUP] 1 [/SUP], Shuangsheng Wu[SUP] 2 [/SUP], Ying Sun[SUP] 2 [/SUP], Jiaojiao Zhang[SUP] 2 [/SUP], Jue Liu[SUP] 1 [/SUP], Quanyi Wang[SUP] 2 [/SUP], Min Liu[SUP] 1 [/SUP]
Affiliations
- PMID: 36649482
- DOI: 10.1080/09603123.2023.2167948
Abstract
To assess the impact of absolute humidity on influenza transmission in Beijing from 2014 to 2019, we estimated the influenza transmissibility via the instantaneous reproduction number (R[SUB]t[/SUB]), and evaluated its nonlinear exposure-response association and delayed effects with absolute humidity by using the distributed lag nonlinear model (DLNM). Attributable fraction (AF) of R[SUB]t[/SUB] due to absolute humidity was calculated. The result showed a significant M-shaped relationship between R[SUB]t[/SUB] and absolute humidity. Compared with the effect of high absolute humidity, the low absolute humidity effect was more immediate with the most significant effect observed at lag 6 days. AFs were relatively high for the group aged 15-24 years, and was the lowest for the group aged 0-4 years with low absolute humidity. Therefore, we concluded that the component attributed to the low absolute humidity effect is greater. Young and middle-aged people are more sensitive to low absolute humidity than children and elderly.
Keywords: Influenza transmission; absolute humidity; attributable risk; exposure assessment; infections.