Objective To establish an early warning system for bacterial food poisoning based on meteorological conditions. Methods The conditional probability of food poisoning was analyzed at monthly and yearly scale within a given range of meteorological conditions based on the data of collective bacterial food poisoning and meteorological conditions (air temperature and relative humidity) during 1992~2006 in Shanghai. The impact of “golden week” on risk of food poisoning was also studied. Results An early warning system for bacterial food poisoning based on the air temperature and relative humidity was developed as well as the division standard of pre-warning level. Conclusion Through the comparison of model prediction value and reported food poisoning events in 2007 and 2008, the model shows a certain forecast ability for the incidence of poisoning during peak period of food poisoning events.
标题:基于气象因素的细菌性食物中毒预警系统的建立
英文标题:Establishment of early warning system for bacterial food poisoning based on meteorological factors