Weather variables as important clinical predictors of bacterial diarrhoea among international travellers.

ABSTRACT:

Background

Clinicians and travellers often have limited tools to differentiate bacterial from non-bacterial causes of travellers' diarrhoea (TD). Development of a clinical prediction rule assessing the aetiology of TD may help identify episodes of bacterial diarrhoea and limit inappropriate antibiotic use. We aimed to identify predictors of bacterial diarrhoea among clinical, demographic and weather variables, as well as to develop and cross-validate a parsimonious predictive model.

Methods

We collected de-identified clinical data from 457 international travellers with acute diarrhoea presenting to two healthcare centres in Nepal and Thailand. We used conventional microbiologic and multiplex molecular methods to identify diarrheal aetiology from stool samples. We used random

SUBMITTER: Pender MA 

PROVIDER: S-EPMC9282096 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature