Pathogen seasonality and links with weather in England and Wales: a big data time series analysis.

ABSTRACT:

Background

Many infectious diseases of public health importance display annual seasonal patterns in their incidence. We aimed to systematically document the seasonality of several human infectious disease pathogens in England and Wales, highlighting those organisms that appear weather-sensitive and therefore may be influenced by climate change in the future.

Methods

Data on infections in England and Wales from 1989 to 2014 were extracted from the Public Health England (PHE) SGSS surveillance database. We conducted a weekly, monthly and quarterly time series analysis of 277 pathogen serotypes. Each organism's time series was forecasted using the TBATS package in R, with seasonality detected using model fit statistics. Meteorological data hosted on the MEDMI Platform were extr

SUBMITTER: Cherrie MPC 

PROVIDER: S-EPMC6114700 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature