tetano
Editor, Senior Moderator
BMC Public Health
. 2024 Feb 16;24(1):494.
doi: 10.1186/s12889-024-17961-9. Effects of meteorological factors on influenza transmissibility by virus type/subtype
Ze-Lin Yan[SUP] #[/SUP][SUP] 1 [/SUP], Wen-Hui Liu[SUP] #[/SUP][SUP] 1 2 [/SUP], Yu-Xiang Long[SUP] 1 [/SUP], Bo-Wen Ming[SUP] 1 [/SUP], Zhou Yang[SUP] 1 [/SUP], Peng-Zhe Qin[SUP] 3 [/SUP], Chun-Quan Ou[SUP] 4 [/SUP], Li Li[SUP] 5 [/SUP]
Affiliations
Background: Quantitative evidence on the impact of meteorological factors on influenza transmissibility across different virus types/subtypes is scarce, and no previous studies have reported the effect of hourly temperature variability (HTV) on influenza transmissibility. Herein, we explored the associations between meteorological factors and influenza transmissibility according to the influenza type and subtype in Guangzhou, a subtropical city in China.
Methods: We collected influenza surveillance and meteorological data of Guangzhou between October 2010 and December 2019. Influenza transmissibility was measured using the instantaneous effective reproductive number (R[SUB]t[/SUB]). A gamma regression with a log link combined with a distributed lag non-linear model was used to assess the associations of daily meteorological factors with R[SUB]t[/SUB] by influenza types/subtypes.
Results: The exposure-response relationship between ambient temperature and R[SUB]t[/SUB] was non-linear, with elevated transmissibility at low and high temperatures. Influenza transmissibility increased as HTV increased when HTV < around 4.5 °C. A non-linear association was observed between absolute humidity and R[SUB]t[/SUB], with increased transmissibility at low absolute humidity and at around 19 g/m[SUP]3[/SUP]. Relative humidity had a U-shaped association with influenza transmissibility. The associations between meteorological factors and influenza transmissibility varied according to the influenza type and subtype: elevated transmissibility was observed at high ambient temperatures for influenza A(H3N2), but not for influenza A(H1N1)pdm09; transmissibility of influenza A(H1N1)pdm09 increased as HTV increased when HTV < around 4.5 °C, but the transmissibility decreased with HTV when HTV < 2.5 °C and 3.0 °C for influenza A(H3N2) and B, respectively; positive association of R[SUB]t[/SUB] with absolute humidity was witnessed for influenza A(H3N2) even when absolute humidity was larger than 19 g/m[SUP]3[/SUP], which was different from that for influenza A(H1N1)pdm09 and influenza B.
Conclusions: Temperature variability has an impact on influenza transmissibility. Ambient temperature, temperature variability, and humidity influence the transmissibility of different influenza types/subtypes discrepantly. Our findings have important implications for improving preparedness for influenza epidemics, especially under climate change conditions.
Keywords: Distributed lag non-linear model; Hourly temperature variability; Influenza; Instantaneous effective reproductive number; Meteorological factors.
. 2024 Feb 16;24(1):494.
doi: 10.1186/s12889-024-17961-9. Effects of meteorological factors on influenza transmissibility by virus type/subtype
Ze-Lin Yan[SUP] #[/SUP][SUP] 1 [/SUP], Wen-Hui Liu[SUP] #[/SUP][SUP] 1 2 [/SUP], Yu-Xiang Long[SUP] 1 [/SUP], Bo-Wen Ming[SUP] 1 [/SUP], Zhou Yang[SUP] 1 [/SUP], Peng-Zhe Qin[SUP] 3 [/SUP], Chun-Quan Ou[SUP] 4 [/SUP], Li Li[SUP] 5 [/SUP]
Affiliations
- PMID: 38365650
- PMCID: PMC10870479
- DOI: 10.1186/s12889-024-17961-9
Background: Quantitative evidence on the impact of meteorological factors on influenza transmissibility across different virus types/subtypes is scarce, and no previous studies have reported the effect of hourly temperature variability (HTV) on influenza transmissibility. Herein, we explored the associations between meteorological factors and influenza transmissibility according to the influenza type and subtype in Guangzhou, a subtropical city in China.
Methods: We collected influenza surveillance and meteorological data of Guangzhou between October 2010 and December 2019. Influenza transmissibility was measured using the instantaneous effective reproductive number (R[SUB]t[/SUB]). A gamma regression with a log link combined with a distributed lag non-linear model was used to assess the associations of daily meteorological factors with R[SUB]t[/SUB] by influenza types/subtypes.
Results: The exposure-response relationship between ambient temperature and R[SUB]t[/SUB] was non-linear, with elevated transmissibility at low and high temperatures. Influenza transmissibility increased as HTV increased when HTV < around 4.5 °C. A non-linear association was observed between absolute humidity and R[SUB]t[/SUB], with increased transmissibility at low absolute humidity and at around 19 g/m[SUP]3[/SUP]. Relative humidity had a U-shaped association with influenza transmissibility. The associations between meteorological factors and influenza transmissibility varied according to the influenza type and subtype: elevated transmissibility was observed at high ambient temperatures for influenza A(H3N2), but not for influenza A(H1N1)pdm09; transmissibility of influenza A(H1N1)pdm09 increased as HTV increased when HTV < around 4.5 °C, but the transmissibility decreased with HTV when HTV < 2.5 °C and 3.0 °C for influenza A(H3N2) and B, respectively; positive association of R[SUB]t[/SUB] with absolute humidity was witnessed for influenza A(H3N2) even when absolute humidity was larger than 19 g/m[SUP]3[/SUP], which was different from that for influenza A(H1N1)pdm09 and influenza B.
Conclusions: Temperature variability has an impact on influenza transmissibility. Ambient temperature, temperature variability, and humidity influence the transmissibility of different influenza types/subtypes discrepantly. Our findings have important implications for improving preparedness for influenza epidemics, especially under climate change conditions.
Keywords: Distributed lag non-linear model; Hourly temperature variability; Influenza; Instantaneous effective reproductive number; Meteorological factors.