Austhof Erika, Pogreba-Brown Kristen, White Alice E, Jervis Rachel H, Weiss Joli, Davis Sarah Shrum, Moore Delaney, Brown Heidi E
Department of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, PO Box 245163, Tucson, AZ 85724, United States of America.
Department of Epidemiology, Colorado School of Public Health, 13001 E 17th Pl B119, Aurora, CO 80045, United States of America.
One Health. 2024 Nov 19;19:100941. doi: 10.1016/j.onehlt.2024.100941. eCollection 2024 Dec.
Temperature and precipitation have previously been associated with infections. The association between salmonellosis and precipitation might be explained by antecedent drought conditions; however, few studies have explored this effect.
Using an ecological study design with public health surveillance, meteorological (total precipitation [inches], temperature [average °F], Palmer Drought Severity Index [PDSI, category]), and livestock data we explored the association between precipitation and infections reported in 127/141 counties from 2009 to 2021 in the Southwest, US and determined how this association was modified by antecedent drought. To explore the acute effect of precipitation on infections we used negative binomial generalized estimating equations adjusted for temperature with a 2-week lag resulting in Incidence Rate Ratios (IRR). Stratified analyses were used to explore the effect of antecedent drought and type of animal density on this association.
A one inch increase in precipitation was associated with a 2 % increase in infections reported two weeks later (IRR: 1.02, 95 % CI: 1.00, 1.04) after adjusting for average temperature and PDSI. Precipitation following moderate (IRR: 1.22, 95 % CI: 1.17, 1.28) and severe drought (IRR: 1.16, 95 % CI: 1.10, 1.22) was associated with a significant increase in cases, whereas in the most extreme drought conditions, cases were significantly decreased (IRR: 0.89, 95 % CI: 0.85, 0.94). Overall, more precipitation (above a 30-year normal, the 95th and 99th percentiles) were associated with greater increases in cases, with the highest increase following moderate and severe drought. Counties with a higher density of chicken and beef cattle were significantly associated with increased cases regardless of drought status, whereas dairy cattle, and cattle including calves had mixed results.
Our study suggests precipitation following prior dry conditions is associated with an increase in salmonellosis in the Southwest, US. Public health is likely to see an increase in salmonellosis with extreme precipitation events, especially in counties with a high density of chicken and beef cattle.
温度和降水此前已被证明与感染有关。沙门氏菌病与降水之间的关联可能可以用先前的干旱状况来解释;然而,很少有研究探讨这种影响。
我们采用生态研究设计,结合公共卫生监测、气象数据(总降水量[英寸]、温度[平均华氏度]、帕尔默干旱严重指数[PDSI,类别])和牲畜数据,探讨了美国西南部127/141个县在2009年至2021年期间报告的降水与感染之间的关联,并确定了这种关联如何受到先前干旱的影响。为了探讨降水对感染的急性影响,我们使用了负二项广义估计方程,对温度进行了两周滞后调整,得出发病率比(IRR)。分层分析用于探讨先前干旱和动物密度类型对这种关联的影响。
在调整了平均温度和PDSI后,降水量每增加1英寸,两周后报告的感染增加2%(IRR:1.02,95%CI:1.00,1.04)。中度干旱(IRR:1.22,95%CI:1.17,1.28)和严重干旱(IRR:1.16,95%CI:1.10,1.22)后的降水与病例显著增加相关,而在最极端干旱条件下,病例显著减少(IRR:0.89,95%CI:0.85,0.94)。总体而言,更多降水(高于30年平均值、第95和第99百分位数)与病例增加幅度更大相关,在中度和严重干旱后增加幅度最大。无论干旱状况如何,鸡和肉牛密度较高的县与病例增加显著相关,而奶牛以及包括小牛在内的牛的结果则好坏参半。
我们的研究表明,美国西南部先前干旱条件后的降水与沙门氏菌病增加有关。公共卫生部门可能会看到极端降水事件导致沙门氏菌病增加,尤其是在鸡和肉牛密度高的县。