Pathogen-specific burdens of community diarrhoea in developing countries: a multisite birth cohort study (MAL-ED)

Abstract

Background: Most studies of the causes of diarrhoea in low-income and middle-income countries have looked at severe disease in people presenting for care, and there are few estimates of pathogen-specific diarrhoea burdens in the community.

Methods: We undertook a birth cohort study with not only intensive community surveillance for diarrhoea but also routine collection of non-diarrhoeal stools from eight sites in South America, Africa, and Asia. We enrolled children within 17 days of birth, and diarrhoeal episodes (defined as maternal report of three or more loose stools in 24 h, or one loose stool with visible blood) were identified through twice-weekly home visits by fieldworkers over a follow-up period of 24 months. Non-diarrhoeal stool specimens were also collected for surveillance for months 1-12, 15, 18, 21, and 24. Stools were analysed for a broad range of enteropathogens using culture, enzyme immunoassay, and PCR. We used the adjusted attributable fraction (AF) to estimate pathogen-specific burdens of diarrhoea.

Findings: Between November 26, 2009, and February 25, 2014, we tested 7318 diarrhoeal and 24 310 non-diarrhoeal stools collected from 2145 children aged 0-24 months. Pathogen detection was common in non-diarrhoeal stools but was higher with diarrhoea. Norovirus GII (AF 5·2%, 95% CI 3·0-7·1), rotavirus (4·8%, 4·5-5·0), Campylobacter spp (3·5%, 0·4-6·3), astrovirus (2·7%, 2·2-3·1), and Cryptosporidium spp (2·0%, 1·3-2·6) exhibited the highest attributable burdens of diarrhoea in the first year of life. The major pathogens associated with diarrhoea in the second year of life were Campylobacter spp (7·9%, 3·1-12·1), norovirus GII (5·4%, 2·1-7·8), rotavirus (4·9%, 4·4-5·2), astrovirus (4·2%, 3·5-4·7), and Shigella spp (4·0%, 3·6-4·3). Rotavirus had the highest AF for sites without rotavirus vaccination and the fifth highest AF for sites with the vaccination. There was substantial variation in pathogens according to geography, diarrhoea severity, and season. Bloody diarrhoea was primarily associated with Campylobacter spp and Shigella spp, fever and vomiting with rotavirus, and vomiting with norovirus GII.

Interpretation: There was substantial heterogeneity in pathogen-specific burdens of diarrhoea, with important determinants including age, geography, season, rotavirus vaccine usage, and symptoms. These findings suggest that although single-pathogen strategies have an important role in the reduction of the burden of severe diarrhoeal disease, the effect of such interventions on total diarrhoeal incidence at the community level might be limited.

Conflict of interest statement

Declaration of interests

We declare that we have no conflicts of interest.

Copyright © 2015 Platts-Mills et al. Open access article published under the terms of CC BY-NC-ND. Published by Elsevier Ltd.. All rights reserved.

Figures

Figure 1.. Pathogen testing results.

Shown for diarrhoeal (red) and non-diarrhoeal stools (grey) in the first (A) and second (B) year of life. All pathogens which were present in at least 0.1% of all stools are shown. Microscopically-detected parasites are included here, however microscopy was the final procedure performed on stool and was not required for complete testing. EAEC=enteroaggregative E. coli; EIEC=enteroinvasive E. coli; aEPEC=atypical enteropathogenic E. coli; tEPEC=typical enteropathogenic E. coli; LT-ETEC=LT-producing enterotoxigenic E. coli; ST-ETEC=ST-producing enterotoxigenic E. coli; STEC=Shiga-toxin producing E. coli.

Figure 2.. Pathogen detection and diarrhoeal episodes per child by age.

Mean number of enteropathogens detected (A, mean ± SE) and number of diarrhoeal episodes per child in surveillance (B) are shown for each month and study site. BGD=Dhaka, Bangladesh; INV=Vellore, India; NEB=Bhaktapur, Nepal; PKN=Naushero Feroze, Pakistan; SAV=Venda, South Africa; TZH=Haydom, Tanzania; BRF=Fortaleza, Brazil; PEL=Loreto, Peru.

Figure 3.. Prevalence and adjusted attributable fraction (AF) of diarrhoea for three-month age intervals.

The prevalence (A) and AF (B) of diarrhoea are shown for individual pathogens in three-month age intervals from 0-24 months across all sites. AFs are expressed as percentages with 95% confidence intervals. EAEC=enteroaggregative E. coli; EIEC=enteroinvasive E. coli; aEPEC=atypical enteropathogenic E. coli; tEPEC=typical enteropathogenic E. coli; LT-ETEC=LT-producing enterotoxigenic E. coli; ST-ETEC=ST-producing enterotoxigenic E. coli; STEC=Shiga-toxin producing E. coli.

Figure 4.. Association between individual pathogens and seasonal diarrhoeal incidence.

The percent of the total attributable incidence of diarrhoea for individual pathogens (primary y-axis) and percent of annual diarrhoeal incidence (dotted line, secondary y-axis) by calendar month are shown for each site as indicated in the upper left of each graph: BGD=Dhaka, Bangladesh; INV=Vellore, India; NEB=Bhaktapur, Nepal; PKN=Naushero Feroze, Pakistan; SAV=Venda, South Africa; TZH=Haydom, Tanzania; BRF=Fortaleza, Brazil; PEL=Loreto, Peru. tEPEC=typical enteropathogenic E. coli; LT-ETEC=LT-producing enterotoxigenic E. coli; ST-ETEC=ST-producing enterotoxigenic E. coli.†Monovalent rotavirus vaccine was introduced to the national immunization programme prior to study initiation.