Bentham G, Langford I H
Centre for Social and Economic Research on the Global Environment, School of Environmental Sciences, University of East Anglia, Norwich, UK.
Int J Biometeorol. 1995 Nov;39(2):81-6. doi: 10.1007/BF01212585.
In recent years there have been several spells of high temperatures providing analogues for the conditions that might become more common as a result of the enhanced greenhouse effect. Statistical models were developed of the relationship between the monthly incidence of food poisoning and temperatures and these were then used to provide estimates of the possible effects of future warmer summers. Routinely collected data on the number of reported cases of food poisoning were analysed for the years 1982-1991. Regression analysis was used to establish the relationship between the monthly of food poisoning and temperatures of the same and the previous month. Published scenarios for future temperatures were applied to these statistical models to provide estimates of the possible impacts of warmer conditions. The monthly incidence of food poisoning was found to be significantly associated with the temperature of the same and of the previous month with the latter having the stronger effect. Using published data on the relationship between reported and actual numbers of cases of food poisoning, it is estimated that annually there might be an additional 179 000 cases of food poisoning by the year 2050 as a result of climate change. The observed relationship with the same month's temperature underlies the need for improvements in storage, preparation and hygiene close to the point of consumption. However, there was a much stronger relationship with the temperature of the previous month, indicating the importance of conditions earlier in the food production process. Improvements in areas such as animal husbandry and slaughtering may also be necessary to avoid the adverse effects of a warmer climate.
近年来出现了几次高温天气,这些高温天气可被视作因温室效应增强而可能变得更加常见的状况的类似情况。针对食物中毒的月度发病率与气温之间的关系建立了统计模型,随后利用这些模型来估算未来更炎热夏季可能产生的影响。对1982年至1991年期间常规收集的食物中毒报告病例数量数据进行了分析。采用回归分析来确定食物中毒月度发病率与当月及上月气温之间的关系。将已公布的未来气温情景应用于这些统计模型,以估算气候变暖可能产生的影响。结果发现,食物中毒的月度发病率与当月及上月气温显著相关,其中上月气温的影响更强。利用已公布的食物中毒报告病例数与实际病例数之间关系的数据,据估计,到2050年,气候变化可能导致每年新增17.9万例食物中毒病例。与当月气温的观测关系凸显了在消费点附近改善储存、制备和卫生条件的必要性。然而,与上月气温的关系更为密切,这表明食品生产过程早期的条件很重要。畜牧业和屠宰业等领域的改进也可能是必要的,以避免气候变暖带来的不利影响。