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.
PLoS One. 2023 Oct 20;18(10):e0283133. doi: 10.1371/journal.pone.0283133. eCollection 2023.
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.
本研究旨在探讨气候变化引起的食源性疾病发病率增加。从马来西亚卫生部、马来西亚气象局和马来西亚统计局分别获得了 2004 年至 2014 年的每月食源性疾病病例、平均每月气象数据和人口数据。采用泊松广义线性模型评估气候参数与报告食源性疾病病例数之间的关系。研究结果表明,在 11 年的研究期间,马来西亚的食源性疾病发病率为全国每 10 万人中有 561 例。在这些病例中,女性和马来族最常发生食源性疾病,发病率分别为每 10 万人 313 例和 438 例。大多数病例发生在 13 至 35 岁的活跃年龄。温度对雪兰莪(95%CI:1.033-1.479;p=0.020)、马六甲(95%CI:1.046-2.080;p=0.027)、吉兰丹(95%CI:1.129-1.958;p=0.005)和沙巴(95%CI:1.127-2.690;p=0.012)的食源性疾病发病率有显著影响,而降雨在登嘉楼(95%CI:0.996-0.999;p=0.034)滞后 0 月时是一个保护因素。温度每升高 1.0°C,每个州的食源性疾病风险增加高达 74.1%,而降雨每增加 50 毫米,食源性疾病的风险就会降低近 10%。研究结论是,气候确实会影响雪兰莪、马六甲、吉兰丹、沙巴和登嘉楼的食源性疾病分布。其他州的食源性疾病病例与温度没有直接关系,而是与每月趋势和季节性有关。