2014
DOI: 10.1590/0037-8682-0144-2013
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Temperature and atmospheric pressure may be considered as predictors for the occurrence of bacillary dysentery in Guangzhou, Southern China

Abstract: Introduction:The control of bacillary dysentery (BD) remains a big challenge for China. Methods: Negative binomial multivariable regression was used to study relationships between meteorological variables and the occurrence of BD during the period of [2006][2007][2008][2009][2010][2011][2012]. Results: Each 1°C rise of temperature corresponded to an increase of 3.60% (95%CI, 3.03% to 4.18%) in the monthly number of BD cases, whereas a 1 hPa rise in atmospheric pressure corresponded to a decrease in the number … Show more

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Cited by 13 publications
(12 citation statements)
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References 6 publications
(6 reference statements)
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“…The time‐series Poisson regression model suggests that the number of hours of sunshine is a factor that has affected the transmission of bacillary dysentery in Xiangxi. However, other studies argue that the number of hours of sunshine does not affect the transmission of enteric infections (Ding et al, ; Li et al, ). A possible explanation is that temperature is correlated with hours of sunshine and, therefore, an increase in the number of hours of sunshine is accompanied by an increase in temperature, which promotes the growth of pathogens.…”
Section: Discussionmentioning
confidence: 95%
See 1 more Smart Citation
“…The time‐series Poisson regression model suggests that the number of hours of sunshine is a factor that has affected the transmission of bacillary dysentery in Xiangxi. However, other studies argue that the number of hours of sunshine does not affect the transmission of enteric infections (Ding et al, ; Li et al, ). A possible explanation is that temperature is correlated with hours of sunshine and, therefore, an increase in the number of hours of sunshine is accompanied by an increase in temperature, which promotes the growth of pathogens.…”
Section: Discussionmentioning
confidence: 95%
“…These findings are supported by other studies: Li et al . () found that in Guangzhou, China a 1 degC rise in temperature was correlated with a 3.6% (95% CI: 3.03–4.18%) increase in the number of cases of bacillary dysentery; a study by Zhang et al . () showed that there was a relationship between a maximum temperature rise and an increase of more than 10% in the number of cases of bacillary dysentery in Jinan, China; and research in Botswana by Alexander et al .…”
Section: Discussionmentioning
confidence: 95%
“…Bivariate analysis identified eight [8] factors that were significantly associated with acute bloody diarrhoea, six protective and two risk factors (Table 3). The significant factors were included in the multivariate analysis.…”
Section: Resultsmentioning
confidence: 99%
“…In China, for instance, a study in Wuhan also reported a positive association between daily temperature and BD, the excess risk for 1 °C increase in daily temperature increase was 0·94% with a lag of 2 days [11]; however, studies at the monthly time scale showed a larger effect estimate, e.g. a 1 °C rise of temperature corresponded to an increase of 3·60% in the monthly number of BD cases in Guangzhou [32], and increases of 12% in Jinan and 16% in Shenzhen [13]. In Peru, each 1 °C increase in temperature was found to be associated with an 8% increase in the risk of severe child diarrhoea [33].…”
Section: Discussionmentioning
confidence: 99%