tetano
Editor, Senior Moderator
Environ Int
. 2024 May 28:189:108783.
doi: 10.1016/j.envint.2024.108783. Online ahead of print. Association between ambient temperature and influenza prevalence: A nationwide time-series analysis in 201 Chinese cities from 2013 to 2018
Yi Yin[SUP] 1 [/SUP], Miao Lai[SUP] 1 [/SUP], Kailai Lu[SUP] 2 [/SUP], Xin Jiang[SUP] 1 [/SUP], Ziying Chen[SUP] 1 [/SUP], Tiantian Li[SUP] 3 [/SUP], Liping Wang[SUP] 4 [/SUP], Yanping Zhang[SUP] 4 [/SUP], Zhihang Peng[SUP] 5 [/SUP]
Affiliations
Background: Temperature affects influenza transmission; however, currently, limited evidence exists about its effect in China at the national and city levels as well as how temperature can be integrated into influenza interventions.
Methods: Meteorological, pollutant, and influenza data from 201 cities in mainland China between 2013 and 2018 were analyzed at both the city and national levels to investigate the relationship between temperature and influenza prevalence. We examined the impact of temperature on the time-varying reproduction number (R[SUB]t[/SUB]) using generalized additive quasi-Poisson regression models combined with the distributed lag nonlinear model. Threshold temperatures were determined for seven regions based on the early warning threshold of serious influenza outbreaks, set at R[SUB]t[/SUB] = 1.2. A multivariate random-effects meta-analysis was employed to assess region-specific associations. The excess risk (ER) index was defined to investigate the correlation between R[SUB]t[/SUB] and temperature, modified based on seasonal and regional characteristics.
Results: At the national level and in the central, northern, northwestern, and southern regions, temperature was found to be negatively correlated with relative risk, whereas the shapes of the data curves for the eastern, southwestern, and northeastern regions were not well defined. Low temperatures had an observable effect on influenza prevalence; however, the effects of high temperatures were not obvious. At an R[SUB]t[/SUB] of 1.2, the threshold temperatures for reaching a warning for serious influenza outbreaks were - 24.3 °C in the northeastern region, 16.6 °C in the northwestern region, and between 1℃ and 10 °C in other regions.
Conclusion: The study findings revealed that temperature had a varying effect on influenza transmission trends (R[SUB]t[/SUB]) across different regions in China. By identifying region-specific temperature thresholds at R[SUB]t[/SUB] = 1.2, more effective early warning systems for influenza outbreaks could be tailored. These findings emphasize the significance of the region-specific adaptation of influenza prevention and control measures.
Keywords: Ambient temperature; Influenza; Time-series study; Time-varying reproduction number.
. 2024 May 28:189:108783.
doi: 10.1016/j.envint.2024.108783. Online ahead of print. Association between ambient temperature and influenza prevalence: A nationwide time-series analysis in 201 Chinese cities from 2013 to 2018
Yi Yin[SUP] 1 [/SUP], Miao Lai[SUP] 1 [/SUP], Kailai Lu[SUP] 2 [/SUP], Xin Jiang[SUP] 1 [/SUP], Ziying Chen[SUP] 1 [/SUP], Tiantian Li[SUP] 3 [/SUP], Liping Wang[SUP] 4 [/SUP], Yanping Zhang[SUP] 4 [/SUP], Zhihang Peng[SUP] 5 [/SUP]
Affiliations
- PMID: 38823156
- DOI: 10.1016/j.envint.2024.108783
Background: Temperature affects influenza transmission; however, currently, limited evidence exists about its effect in China at the national and city levels as well as how temperature can be integrated into influenza interventions.
Methods: Meteorological, pollutant, and influenza data from 201 cities in mainland China between 2013 and 2018 were analyzed at both the city and national levels to investigate the relationship between temperature and influenza prevalence. We examined the impact of temperature on the time-varying reproduction number (R[SUB]t[/SUB]) using generalized additive quasi-Poisson regression models combined with the distributed lag nonlinear model. Threshold temperatures were determined for seven regions based on the early warning threshold of serious influenza outbreaks, set at R[SUB]t[/SUB] = 1.2. A multivariate random-effects meta-analysis was employed to assess region-specific associations. The excess risk (ER) index was defined to investigate the correlation between R[SUB]t[/SUB] and temperature, modified based on seasonal and regional characteristics.
Results: At the national level and in the central, northern, northwestern, and southern regions, temperature was found to be negatively correlated with relative risk, whereas the shapes of the data curves for the eastern, southwestern, and northeastern regions were not well defined. Low temperatures had an observable effect on influenza prevalence; however, the effects of high temperatures were not obvious. At an R[SUB]t[/SUB] of 1.2, the threshold temperatures for reaching a warning for serious influenza outbreaks were - 24.3 °C in the northeastern region, 16.6 °C in the northwestern region, and between 1℃ and 10 °C in other regions.
Conclusion: The study findings revealed that temperature had a varying effect on influenza transmission trends (R[SUB]t[/SUB]) across different regions in China. By identifying region-specific temperature thresholds at R[SUB]t[/SUB] = 1.2, more effective early warning systems for influenza outbreaks could be tailored. These findings emphasize the significance of the region-specific adaptation of influenza prevention and control measures.
Keywords: Ambient temperature; Influenza; Time-series study; Time-varying reproduction number.