tetano
Editor, Senior Moderator
Sci Total Environ
. 2021 Nov 17;151724.
doi: 10.1016/j.scitotenv.2021.151724. Online ahead of print.
Influenza seasonality and its environmental driving factors in mainland China and Hong Kong
Sheikh Taslim Ali[SUP] 1 [/SUP], Benjamin J Cowling[SUP] 2 [/SUP], Jessica Y Wong[SUP] 3 [/SUP], Dongxuan Chen[SUP] 1 [/SUP], Songwei Shan[SUP] 1 [/SUP], Eric H Y Lau[SUP] 1 [/SUP], Daihai He[SUP] 4 [/SUP], Linwei Tian[SUP] 3 [/SUP], Zhongjie Li[SUP] 5 [/SUP], Peng Wu[SUP] 1 [/SUP]
Affiliations
Abstract
Background: Influenza epidemics occur during winter in temperate zones, but have less regular seasonality in the subtropics and tropics. Here we quantified the role of environmental drivers of influenza seasonality in temperate and subtropical China.
Methods: We used weekly surveillance data on influenza virus activity in mainland China and Hong Kong from 2005 through 2016. We estimated the transmissibility via the instantaneous reproduction number (R[SUB]t[/SUB]), a real-time measure of transmissibility, and examined its relationship with different climactic drivers and allowed for the timing of school holidays and the decline in susceptibility in the population as an epidemic progressed. We developed a multivariable regression model for R[SUB]t[/SUB] to quantify the contribution of various potential environmental drivers of transmission.
Findings: We found that absolute humidity is a potential driver of influenza seasonality and had a U-shaped association with transmissibility and hence can predict the pattern of influenza virus transmission across different climate zones. Absolute humidity was able to explain up to 15% of the variance in R[SUB]t[/SUB], and was a stronger predictor of R[SUB]t[/SUB] across the latitudes. Other climatic drivers including mean daily temperature explained up to 13% of variance in R[SUB]t[/SUB] and limited to the locations where the indoor measures of these factors have better indicators of outdoor measures. The non-climatic driver, holiday-related school closures could explain up to 7% of variance in R[SUB]t[/SUB].
Interpretation: A U-shaped association of absolute humidity with influenza transmissibility was able to predict seasonal patterns of influenza virus epidemics in temperate and subtropical locations.
Keywords: Humidity; Influenza virus; Prediction; Seasonality; Transmissibility.
. 2021 Nov 17;151724.
doi: 10.1016/j.scitotenv.2021.151724. Online ahead of print.
Influenza seasonality and its environmental driving factors in mainland China and Hong Kong
Sheikh Taslim Ali[SUP] 1 [/SUP], Benjamin J Cowling[SUP] 2 [/SUP], Jessica Y Wong[SUP] 3 [/SUP], Dongxuan Chen[SUP] 1 [/SUP], Songwei Shan[SUP] 1 [/SUP], Eric H Y Lau[SUP] 1 [/SUP], Daihai He[SUP] 4 [/SUP], Linwei Tian[SUP] 3 [/SUP], Zhongjie Li[SUP] 5 [/SUP], Peng Wu[SUP] 1 [/SUP]
Affiliations
- PMID: 34800462
- DOI: 10.1016/j.scitotenv.2021.151724
Abstract
Background: Influenza epidemics occur during winter in temperate zones, but have less regular seasonality in the subtropics and tropics. Here we quantified the role of environmental drivers of influenza seasonality in temperate and subtropical China.
Methods: We used weekly surveillance data on influenza virus activity in mainland China and Hong Kong from 2005 through 2016. We estimated the transmissibility via the instantaneous reproduction number (R[SUB]t[/SUB]), a real-time measure of transmissibility, and examined its relationship with different climactic drivers and allowed for the timing of school holidays and the decline in susceptibility in the population as an epidemic progressed. We developed a multivariable regression model for R[SUB]t[/SUB] to quantify the contribution of various potential environmental drivers of transmission.
Findings: We found that absolute humidity is a potential driver of influenza seasonality and had a U-shaped association with transmissibility and hence can predict the pattern of influenza virus transmission across different climate zones. Absolute humidity was able to explain up to 15% of the variance in R[SUB]t[/SUB], and was a stronger predictor of R[SUB]t[/SUB] across the latitudes. Other climatic drivers including mean daily temperature explained up to 13% of variance in R[SUB]t[/SUB] and limited to the locations where the indoor measures of these factors have better indicators of outdoor measures. The non-climatic driver, holiday-related school closures could explain up to 7% of variance in R[SUB]t[/SUB].
Interpretation: A U-shaped association of absolute humidity with influenza transmissibility was able to predict seasonal patterns of influenza virus epidemics in temperate and subtropical locations.
Keywords: Humidity; Influenza virus; Prediction; Seasonality; Transmissibility.