2018
DOI: 10.1038/s41598-018-25234-w
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Seasonal dynamics of typhoid and paratyphoid fever

Abstract: Typhoid and paratyphoid fever may follow a seasonal pattern, but this pattern is not well characterized. Moreover, the environmental drivers that influence seasonal dynamics are not fully understood, although increasing evidence suggests that rainfall and temperature may play an important role. We compiled a database of typhoid, paratyphoid, or enteric fever and their potential environmental drivers. We assessed the seasonal dynamics by region and latitude, quantifying the mean timing of peak prevalence and se… Show more

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Cited by 53 publications
(47 citation statements)
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“…Historically, typhoid fever cases peaked during late summer/early fall in the U.S. (6, 27). Yearly peaks of typhoid transmission coincide with warmer temperatures, similar to global trends (7, 28–30). This pattern may be related to the enhanced growth of the bacteria at warmer temperatures, seasonal changes in diet (i.e.…”
Section: Discussionsupporting
confidence: 64%
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“…Historically, typhoid fever cases peaked during late summer/early fall in the U.S. (6, 27). Yearly peaks of typhoid transmission coincide with warmer temperatures, similar to global trends (7, 28–30). This pattern may be related to the enhanced growth of the bacteria at warmer temperatures, seasonal changes in diet (i.e.…”
Section: Discussionsupporting
confidence: 64%
“…This pattern may be related to the enhanced growth of the bacteria at warmer temperatures, seasonal changes in diet (i.e. increased consumption of uncooked fruit and vegetables in summer and fall), or the increased abundance of flies that may serve as mechanical vectors of the bacteria (6, 7, 31, 32). Additional fluctuations in typhoid transmission seen in some cities might be explained by seasonal variation in rainfall, which typically peaks in spring and summer in the eastern U.S. and winter on the west coast, and can impact the water supply to a city (29, 30, 33).…”
Section: Discussionmentioning
confidence: 99%
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“…In addition, the numbers of new confirmed cases of the four types of infectious diseases were used as inputs in the model. Because the numbers of cases of different diseases might have correlations and seasonal fluctuations [19][20][21][22][23][24], they were standardized in advance. After standardization was completed, the average value of each input variable should be approximately zero, there should be no correlation between variables, and covariances should be approximately equal.…”
Section: Real-time Recurrent Learningmentioning
confidence: 99%
“…In many tropical areas, malaria occurs round the year. Seasonal dynamics of enteric fever are variable, with peaks after rainfall seen in northern latitudes 26. Information on ongoing outbreaks or a cluster of cases in a family or neighbourhood are useful clues to guide diagnosis.…”
Section: How Is It Diagnosed?mentioning
confidence: 99%