Investigation of the impacts of climate change and rising temperature on food poisoning cases in Malaysia.

Autor: Hassan NA; Department of Community Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.; IIUM Health, Safety, Environment Unit, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.; Department of Community Health, Faculty of Medicine, UKM Medical Centre, Kuala Lumpur, Malaysia.; United Nations University-International Institute for Global Health, UKM Medical Centre, Bandar Tun Razak, Kuala Lumpur, Malaysia., Hashim JH; Department of Community Health, Faculty of Medicine, UKM Medical Centre, Kuala Lumpur, Malaysia.; United Nations University-International Institute for Global Health, UKM Medical Centre, Bandar Tun Razak, Kuala Lumpur, Malaysia.; Department of Environmental Health and Occupational Safety, Faculty of Health Sciences, Universiti Selangor, Shah Alam, Selangor, Malaysia., Wan Puteh SE; Department of Community Health, Faculty of Medicine, UKM Medical Centre, Kuala Lumpur, Malaysia., Wan Mahiyuddin WR; Institute for Medical Research, Ministry of Health Malaysia, Selangor, Malaysia., Mohd MSF; National Hydraulic Research Institute of Malaysia, Ministry of Environment, Seri Kembangan, Selangor, Malaysia., Shaharudin SM; Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Tanjong Malim, Malaysia., Mohammad Aidid E; Department of Community Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia., Sapuan I; Department of Community Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 Oct 20; Vol. 18 (10), pp. e0283133. Date of Electronic Publication: 2023 Oct 20 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0283133
Abstrakt: This study is an attempt to investigate climate-induced increases in morbidity rates of food poisoning cases. Monthly food poisoning cases, average monthly meteorological data, and population data from 2004 to 2014 were obtained from the Malaysian Ministry of Health, Malaysian Meteorological Department, and Department of Statistics Malaysia, respectively. Poisson generalised linear models were developed to assess the association between climatic parameters and the number of reported food poisoning cases. The findings revealed that the food poisoning incidence in Malaysia during the 11 years study period was 561 cases per 100 000 population for the whole country. Among the cases, females and the ethnic Malays most frequently experienced food poisoning with incidence rates of 313 cases per 100,000 and 438 cases per 100,000 population over the period of 11 years, respectively. Most of the cases occurred within the active age of 13 to 35 years old. Temperature gave a significant impact on the incidence of food poisoning cases in Selangor (95% CI: 1.033-1.479; p = 0.020), Melaka (95% CI: 1.046-2.080; p = 0.027), Kelantan (95% CI: 1.129-1.958; p = 0.005), and Sabah (95% CI: 1.127-2.690; p = 0.012) while rainfall was a protective factor in Terengganu (95% CI: 0.996-0.999; p = 0.034) at lag 0 month. For a 1.0°C increase in temperature, the excess risk of food poisoning in each state can increase up to 74.1%, whereas for every 50 mm increase in rainfall, the risk of getting food poisoning decreased by almost 10%. The study concludes that climate does affect the distribution of food poisoning cases in Selangor, Melaka, Kelantan, Sabah, and Terengganu. Food poisoning cases in other states are not directly associated with temperature but related to monthly trends and seasonality.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Hassan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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