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Yin Y, Lai M, Lu K, Jiang X, Chen Z, Li T, Wang L, Zhang Y, Peng Z. Association between ambient temperature and influenza prevalence: A nationwide time-series analysis in 201 Chinese cities from 2013 to 2018. ENVIRONMENT INTERNATIONAL 2024; 189:108783. [PMID: 38823156 DOI: 10.1016/j.envint.2024.108783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 05/20/2024] [Accepted: 05/27/2024] [Indexed: 06/03/2024]
Abstract
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 (Rt) 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 Rt = 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 Rt 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 Rt 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 (Rt) across different regions in China. By identifying region-specific temperature thresholds at Rt = 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.
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Affiliation(s)
- Yi Yin
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Miao Lai
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Kailai Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Jiang
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ziying Chen
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liping Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanping Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhihang Peng
- School of Public Health, Nanjing Medical University, Nanjing 211166, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
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Jaakkola JJ. Invited Perspective: On Air Pollution, Epidemics, Pandemics, and Planetary Health. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:121306. [PMID: 38078425 PMCID: PMC10711741 DOI: 10.1289/ehp13800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/11/2023] [Accepted: 10/27/2023] [Indexed: 12/18/2023]
Affiliation(s)
- Jouni J.K. Jaakkola
- Center for Environmental and Respiratory Health Research, University of Oulu, Oulu, Finland
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
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