• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

J Hazard Mater . Temperature variability and influenza incidence in China: Effect modification by ambient fine particulate matter

tetano

Editor, Senior Moderator
J Hazard Mater


. 2024 Oct 9:480:136114.
doi: 10.1016/j.jhazmat.2024.136114. Online ahead of print. Temperature variability and influenza incidence in China: Effect modification by ambient fine particulate matter

Wen Li[SUP] 1 [/SUP], Xin Wang[SUP] 2 [/SUP], Yao Wu[SUP] 3 [/SUP], Wenzhong Huang[SUP] 3 [/SUP], Wenhao Yu[SUP] 1 [/SUP], Pei Yu[SUP] 3 [/SUP], Yuming Guo[SUP] 3 [/SUP], Qi Zhao[SUP] 1 [/SUP], Mengjie Geng[SUP] 4 [/SUP], Haitao Wang[SUP] 5 [/SUP], Wei Ma[SUP] 6 [/SUP]



Affiliations
Abstract

This study aims to examine the association between temperature variabilit (TV) exposure and influenza incidence in China, and the modification effect of PM[SUB]2.5[/SUB] levels. Data on daily influenza cases, weather conditions, and PM[SUB]2.5[/SUB] concentrations were collected from 339 cities across mainland China from 2014 to 2019. TV was computed as the standard deviation of daily maximum and minimum temperatures for the current day and the previous several days (i.e., TV0-1 to TV0-7). A space-time-stratified case-crossover design with conditional Poisson regression was employed. Overall, each 1 °C increase in TV0-6 was linked to 3.3 % (95 % CI: 3.1 %, 3.5 %) rise in influenza incidence, potentially attributing 14.73 % (95 % CI: 14.08 %, 15.37 %) of cases to this exposure. PM[SUB]2.5[/SUB] concentration showed substantial modification effect on the association, such that the relative risk (RR) of influenza incidence grew from 1.027 (95 % CI: 1.025, 1.029) to 1.040 (95 % CI: 1.038, 1.042) as PM[SUB]2.5[/SUB] levels increased from 15 to 75 μg/m³ . Females and individuals over 65 years old were more susceptible to TV exposure and the PM[SUB]2.5[/SUB] modification. Stronger effects were observed during cold season and in North region. The findings highlight the integrating considerations of TV and PM[SUB]2.5[/SUB] exposures into public health measures for influenza prevention and control.

Keywords: Ambient particulate matter; Attributable fraction; China; Influenza; Temperature variability.

 
Back
Top Bottom