2018
DOI: 10.1016/j.scitotenv.2018.06.390
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Identification of meteorological factors associated with human infection with avian influenza A H7N9 virus in Zhejiang Province, China

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Cited by 25 publications
(18 citation statements)
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“…We adjusted the influence of meteorological factors in generalized linear regression, and added temperature and relative humidity as predictors in the regression tree because meteorological factors are also one of the factors that affect the incidence of H7N9. Previous studies have indicated that odds ratio of precipitation (49.19-115.60 mm), sunshine (22-9.25 h), temperature (< 9.33°C) [26] and wind speed (2.1-3.0 m/s or 6.3-7.1 m/s) [4] was statistically significant for H7N9 incidence. Both daily minimum and daily maximum temperature contributed significantly to human infection with the influenza A H7N9 virus [27], and the temperature range is similar to our study.…”
Section: Discussionmentioning
confidence: 94%
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“…We adjusted the influence of meteorological factors in generalized linear regression, and added temperature and relative humidity as predictors in the regression tree because meteorological factors are also one of the factors that affect the incidence of H7N9. Previous studies have indicated that odds ratio of precipitation (49.19-115.60 mm), sunshine (22-9.25 h), temperature (< 9.33°C) [26] and wind speed (2.1-3.0 m/s or 6.3-7.1 m/s) [4] was statistically significant for H7N9 incidence. Both daily minimum and daily maximum temperature contributed significantly to human infection with the influenza A H7N9 virus [27], and the temperature range is similar to our study.…”
Section: Discussionmentioning
confidence: 94%
“…Among them, the epidemic situation was the worst in the 5th wave in 2017, and 766 laboratory-confirmed cases were observed (nearly half of the total number of H7N9 cases reported in 2013-2017 [3]). The seasonality of H7N9 epidemics implies that ambient temperature and absolute humidity had significant independent and interactive effects on H7N9 infection risks [4].…”
Section: Introductionmentioning
confidence: 99%
“…We adjusted the influence of meteorological factors in generalized linear regression, and added temperature and relative humidity as predictors in the regression tree because meteorological factors are also one of the factors that affect the incidence of H7N9. Previous studies have indicated that odds ratio of precipitation (49.19-115.60 mm), sunshine (22-9.25h), temperature (<9.33 °C) [26] and wind speed (2.1-3.0 m/s or 6.3-7.1 m/s) [4] was statistically significant for H7N9 incidence. Both daily minimum and daily maximum temperature contributed significantly to human infection with the influenza A H7N9 virus [27], and the temperature range is similar to our study.…”
Section: Discussionmentioning
confidence: 94%
“…Among them, the epidemic situation was the worst in the 5 th wave in 2017, and 766 laboratory-confirmed cases were observed (nearly half of the total number of H7N9 cases reported in 2013-2017 [3]). The seasonality of H7N9 epidemics implies that ambient temperature and absolute humidity had significant independent and interactive effects on H7N9 infection risks [4].…”
Section: Introductionmentioning
confidence: 99%
“…Poultry, beef, and pork products are the most sustainable and edible protein sources around the world . Meat quality control has attracted public attention due to its serious health issues, such as avian influenza , mad cow disease, and foot‐and‐mouth disease . However, poor quality meat of animals died from infectious disease or natural disaster is often counterfeited as good quality products for large markets, resulting in the potentially serious issues of public health .…”
Section: Introductionmentioning
confidence: 99%