TY - JOUR
T1 - Weather and notified Campylobacter infections in temperate and sub-tropical regions of Australia
T2 - An ecological study
AU - Bi, Peng
AU - Cameron, A. Scott
AU - Ying, Zhang
AU - Parton, Kevin
N1 - Imported on 12 Apr 2017 - DigiTool details were: Journal title (773t) = Journal of Infection. ISSNs: 0163-4453;
PY - 2008
Y1 - 2008
N2 - The relationship between weather and food-borne diseases has been of great concern recently. However, the impact of weather variations on food-borne disease may vary in different areas with various geographic, weather and demographic characteristics. This study was designed to quantify the relationship between weather variables and Campylobacter infections in two Australian cities with different local climatic conditions.Methods: An ecologicaleepidemiological study was conducted, using weekly disease surveillance data and meteorological data, over the period 1990e2005, to quantify the relationship between maximum and minimum temperatures, rainfall, relative humidity and notifications of Campylobacter infections in Adelaide, with a temperate Mediterranean climate, and Brisbane, with a sub-tropical climate. Spearman correlation and time-series adjusted Poisson regression analyses were performed taking into account seasonality, lag effects and long-term trends.Results: The results indicate that weekly maximum and minimum temperatures were inversely associated with the weekly number of cases in Adelaide, but positively correlated with the number of cases in Brisbane, with relevant lagged effects. The effects of rainfall and relative humidity on Campylobacter infection rates varied in the two cities.Conclusion: Weather might have different effect on Campylobacter infections in different cities. Further studies are needed for a better understanding of these relationships for they may indicate epidemiologic factors important for control of these infections.
AB - The relationship between weather and food-borne diseases has been of great concern recently. However, the impact of weather variations on food-borne disease may vary in different areas with various geographic, weather and demographic characteristics. This study was designed to quantify the relationship between weather variables and Campylobacter infections in two Australian cities with different local climatic conditions.Methods: An ecologicaleepidemiological study was conducted, using weekly disease surveillance data and meteorological data, over the period 1990e2005, to quantify the relationship between maximum and minimum temperatures, rainfall, relative humidity and notifications of Campylobacter infections in Adelaide, with a temperate Mediterranean climate, and Brisbane, with a sub-tropical climate. Spearman correlation and time-series adjusted Poisson regression analyses were performed taking into account seasonality, lag effects and long-term trends.Results: The results indicate that weekly maximum and minimum temperatures were inversely associated with the weekly number of cases in Adelaide, but positively correlated with the number of cases in Brisbane, with relevant lagged effects. The effects of rainfall and relative humidity on Campylobacter infection rates varied in the two cities.Conclusion: Weather might have different effect on Campylobacter infections in different cities. Further studies are needed for a better understanding of these relationships for they may indicate epidemiologic factors important for control of these infections.
KW - Open access version available
KW - Campylobacter infections
KW - Climate
KW - Sub-tropical
KW - Temperate
U2 - 10.1016/j.jinf.2008.08.004
DO - 10.1016/j.jinf.2008.08.004
M3 - Article
SN - 0163-4453
VL - 57
SP - 317
EP - 323
JO - Journal of Infection
JF - Journal of Infection
IS - 4
ER -