Author: Cherrie, Mark P. C.; Nichols, Gordon; Iacono, Gianni Lo; Sarran, Christophe; Hajat, Shakoor; Fleming, Lora E.
Title: Pathogen seasonality and links with weather in England and Wales: a big data time series analysis Document date: 2018_8_28
ID: 0x4zrfw3_1
Snippet: Seasonality can be defined as increased or decreased observations that display a periodic pattern (e.g. week, month, quarter) of occurrence between years [1] . Microbial pathogens tend to be defined as microorganisms that can cause disease in humans and other organisms [2] . Reviews of their seasonality have been published previously [3] . Seasonal drivers are already known to produce annual peaks for a number of infectious diseases, including ma.....
Document: Seasonality can be defined as increased or decreased observations that display a periodic pattern (e.g. week, month, quarter) of occurrence between years [1] . Microbial pathogens tend to be defined as microorganisms that can cause disease in humans and other organisms [2] . Reviews of their seasonality have been published previously [3] . Seasonal drivers are already known to produce annual peaks for a number of infectious diseases, including malaria [4] , West Nile virus [5] , and cholera [6] , as well as several pathogens transmissible by contact such as influenza [7] , respiratory syncytial virus [8] and Meningococcal meningitis [9] . Seasonality may be explained by a mixture of factors including climate, social, behavioural, agricultural, environmental, stochastic changes in immune populations, and other drivers. In addition, weather can influence vector abundance, pathogen survival and host characteristics (e.g. behaviour and immune susceptibility) [3] . The mathematical approaches to modelling have been reviewed [10] .
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