How heatwaves affect short-term emergency hospital admissions due to bacterial foodborne diseases.

Autor: Ascaso MS; Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain; Autonomous University of Madrid, Madrid, Spain., Díaz J; Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain. Electronic address: j.diaz@isciii.es., López-Bueno JA; Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain., Navas MA; Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain., Mirón IJ; Castile-La Mancha Regional Health Authority, Toledo, Spain., Linares C; Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2024 Oct 10; Vol. 946, pp. 174209. Date of Electronic Publication: 2024 Jun 22.
DOI: 10.1016/j.scitotenv.2024.174209
Abstrakt: The coming decades are likely to see of extreme weather events becoming more intense and frequent across Europe as a whole and around the Mediterranean in particular. The reproduction rate of some microorganisms, including the bacteria that cause foodborne diseases, will also be affected by these events. The aim of this study was thus to ascertain whether there might be a statistically significant relationship between emergency hospital admissions due to the principal bacterial foodborne diseases (BFDs) and the various meteorological variables, including heatwaves. We conducted a time-series study, with daily observations of both the dependent variable (emergency hospital admissions due to BFDs) and the independent variables (meteorological variables and control variables of chemical air pollution) across the period 2013-2018 in the Madrid Region (Spain), using Generalised Linear Models with Poisson regression, in which control and lag variables were included for the purpose of fitting the models. We calculated the threshold value of the maximum daily temperature above which such admissions increased statistically significantly, analysed data for the whole year and for the summer months alone, and estimated the relative and attributable risks. The estimated attributable risk was 3.6 % for every one-degree rise in the maximum daily temperature above 12 °C throughout the year, and 12.21 % for every one degree rise in temperature above the threshold heatwave definition temperature (34 °C) in summer. Furthermore, different meteorological variables displayed a statistically significant association. Whereas hours of sunlight and mean wind speed proved significant in the analyses of both the whole year and summer, the variables "rain" and "relative humidity", only showed a significant relationship in the analysis for the whole year. High ambient temperature is a risk factor that favours the increase in emergency hospitalisations attributable to the principal BFDs, with a greater impact being observed on days coinciding with heatwave periods. The results yielded by this study could serve as a basis for implementing BFD prevention strategies, especially on heatwave days.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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