Minnesota Department of Health, St. Paul, MN 55164-0899, USA.
Public Health Rep. 2010 May-Jun;125 Suppl 2(Suppl 2):57-62. doi: 10.1177/00333549101250S207.
In recent years, there have been several high-profile nationwide foodborne outbreaks due to enteric organisms in food products, including Salmonella Typhimurium in peanut products, Salmonella Saintpaul in peppers, and Escherichia coli O157:H7 in spinach. PulseNet, the national molecular subtyping network for foodborne disease surveillance, played a key role in detecting each of these outbreaks. PulseNet laboratories use bacterial subtyping methods to rapidly detect clusters of foodborne disease, which are often the first indication that an outbreak is occurring. Rapid outbreak detection reduces ongoing transmission through product recalls, restaurant closures, and other mechanisms. By greatly increasing the sensitivity of outbreak detection, PulseNet allows us to identify and correct problems with our food production and distribution systems that would not otherwise have come to our attention. Annually, millions of potentially preventable cases of foodborne illness result in billions of dollars in lost productivity and health-care expenses. We describe the critical role PulseNet laboratories play in the detection of foodborne outbreaks and discuss current challenges and potential improvements for PulseNet laboratories to more rapidly identify future foodborne outbreaks.
近年来,由于食品中的肠道生物体,发生了几起全国性的食源性疾病暴发事件,包括花生产品中的肠炎沙门氏菌 Typhimurium、辣椒中的圣波拿文都拉沙门氏菌和菠菜中的大肠杆菌 O157:H7。脉冲网(PulseNet)是全国性的食源性疾病监测分子分型网络,在检测这些暴发事件中发挥了关键作用。脉冲网实验室使用细菌分型方法来快速检测食源性疾病的集群,这通常是暴发发生的第一个迹象。快速暴发检测通过产品召回、餐馆关闭和其他机制减少正在进行的传播。通过大大提高暴发检测的灵敏度,脉冲网使我们能够识别和纠正我们的食品生产和分销系统中原本不会引起我们注意的问题。每年,数以百万计的潜在可预防的食源性疾病病例导致数十亿美元的生产力和医疗保健费用损失。我们描述了脉冲网实验室在食源性疾病暴发检测中的关键作用,并讨论了当前的挑战和潜在的改进,以帮助脉冲网实验室更快速地识别未来的食源性疾病暴发。