ORIGINAL RESEARCH article

Front. Public Health

Sec. Environmental Health and Exposome

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1553278

This article is part of the Research TopicEvaluating Public Health Strategies for Climate Change: Risk and OpportunitiesView all 4 articles

Quantifying the Temporal Trends of the Combined Effect of Temperature and Relative Humidity on Hand, Foot, and Mouth Disease in Yunnan, China

Provisionally accepted
Zhaohan  WangZhaohan Wang1Yue  MaYue Ma1Wennian  CaiWennian Cai2Tao  ZhangTao Zhang1Tian  HuangTian Huang3Tiejun  ShuiTiejun Shui3Fei  YinFei Yin1*Haijun  YangHaijun Yang4*
  • 1West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, China
  • 2National Cancer Center, Cancer Hospital Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
  • 3Yunnan Provincial Center for Disease Control and Prevention, Kunming, Yunnan Province, China
  • 4Yan'an Hospital Affiliated To Kunming Medical University, Kunming, China

The final, formatted version of the article will be published soon.

Background: Hand, foot, and mouth disease (HFMD) poses a significant risk to children. While most studies focus on the individual effects of temperature or relative humidity, the combined effect of these factors and their temporal variations remain unclear. Understanding these effects is essential for designing effective public health interventions.Methods: Using daily meteorological and HFMD case data collected from 2010 to 2019 in 16 cities in Yunnan Province, China, we compared three composite indices (Humidex, heat index, and temperature-humidity index) to identify the indices that best captured the combined effect of temperature and humidity on HFMD risk. An extended time-varying distributed lag nonlinear model (DLNM) was used to examine how these effects shifted over time across population subgroups. Relative risk (RR) values at the 1%, 25%, 75%, and 99% quantiles were extracted to represent effects at extremely, moderately low, moderately, and extremely high levels.Results: The THIa8 demonstrated a monotonic upward exposure-response curve with narrower confidence intervals, more consistent relationships across cities, and the best model fit (Quasi-Akaike information criterion (QAIC)=283564.2, Akaike information criterion (AIC)=45.46, and Bayesian information criterion (BIC)=62.30). HFMD risk decreased at extremely low (RR = 0.677, 95% CI: 0.632, 0.724) and moderately low THIa8 levels (RR = 0.766, 95% CI: 0.713, 0.823) but increased at moderately high (RR = 1.121, 95% CI: 1.084, 1.159) and extremely high THIa8 levels (RR = 1.478, 95% CI:1.300, 1.680). Temporal analysis revealed a decreased HFMD risk at extremely low THIa8 values from 2010 to 2019, weakened protective effects at moderately low THIa8 values and an increased risk at extremely high THIa8 values. Subgroup analyses revealed that kindergarten children (3 ≤ age < 6 years) and females were particularly vulnerable. Conclusions: The THIa8 effectively captures the combined effect of temperature and relative humidity on HFMD risk revealing temporal variations. Adaptive public health strategies are needed to mitigate HFMD transmission under changing environmental conditions.

Keywords: HFMD, Composite index, Combined effect, Temporal Trends, time-varying DLNM

Received: 30 Dec 2024; Accepted: 15 Apr 2025.

Copyright: © 2025 Wang, Ma, Cai, Zhang, Huang, Shui, Yin and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Fei Yin, West China School of Public Health, Sichuan University, Chengdu, 610000, Sichuan Province, China
Haijun Yang, Yan'an Hospital Affiliated To Kunming Medical University, Kunming, China

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