Impact of Ambient Temperature and Relative Humidity on the Incidence of Hand-Foot-Mouth Disease in Wuhan, China

Bibliographic Data

ID15476008
AuthorsJiayuan Hao (0000-0002-8974-5070, Wuhan University), Zhiyi Yang (0000-0003-4982-1187, Wuhan University), Wenwen Yang (0000-0001-6385-1089, Hubei Provincial Center for Disease Control and Prevention), Shuqiong Huang (0000-0002-4276-539X, Hubei Provincial Center for Disease Control and Prevention), Liqiao Tian (0000-0001-8248-0279, Wuhan University), Zhongmin Zhu (0000-0003-3185-7050, Wuhan University), Yuanan Lu (0000-0002-6854-6945, University of Hawaiʻi at Mānoa), Hao Xiang (0000-0003-0902-0115, Wuhan University, corresponding author), Suyang Liu (0000-0002-8584-3335, Wuhan University, corresponding author)
Year2020
Volume17
Issue2
Pages428-428
Publication date2020-01-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17020428
PMID31936369
OpenAlexW2999350066
LanguageEN
Citations received10
References cited41

Background : Few studies have previously explored the relationship between hand, foot, and mouth disease (HFMD) and meteorological factors with the effect modification of air pollution, and these studies had inconsistent findings. We therefore applied a time-series analysis assessing the effects of temperature and humidity on the incidence of HFMD in Wuhan, China to deepen our understanding of the relationship between meteorological factors and the risk of HFMD. Methods: Daily HFMD cases were retrieved from Hubei Provincial Center for Disease Control and Prevention from 1 February 2013 to 31 January 2017. Daily meteorological data including 24 h average temperature, relative humidity, wind velocity, and atmospheric pressure were obtained from Hubei Meteorological Bureau. Data on Air pollution was collected from 10 national air-monitoring stations in Wuhan city. We adopted a distributed lag non-linear model (DLNM) combined with Poisson regression and time-series analysis to estimate the effects of temperature and relative humidity on the incidence HFMD. Results: We found that the association between temperature and HFMD incidence was non-linear, exhibiting an approximate "M" shape with two peaks occurring at 2.3 °C (RR = 1.760, 95% CI: 1.218-2.542) and 27.9 °C (RR = 1.945, 95% CI: 1.570-2.408), respectively. We observed an inverted "V" shape between relative humidity and HFMD. The risk of HFMD reached a maximum value at a relative humidity of 89.2% (RR = 1.553, 95% CI: 1.322-1.824). The largest delayed cumulative effects occurred at lag 6 for temperature and lag 13 for relative humidity. Conclusions: The non-linear relationship between meteorological factors and the incidence of HFMD on different lag days could be used in the early targeted warning system of infectious diseases, reducing the possible outbreaks and burdens of HFMD among sensitive populations

Atmospheric sciences · Confidence interval · Distributed lag · Environmental health · Generalized additive model · Geography · Hand-foot-and-mouth disease · Humidity · Incidence (geometry · Lag · Meteorology · Poisson regression · Population · Relative humidity · Relative risk · Statistics · Wind speed · Animal Disease Management and Epidemiology · Demography · Environmental Science · Mathematics · Medicine · Viral gastroenteritis research and epidemiology · Viral Infections and Immunology Research · Epidemiology · Internal Medicine

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