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Cited by 373

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

The Global Enteric Multicenter Study (GEMS) of Diarrheal Disease in Infants and Young Children in Developing Countries: Epidemiologic and Clinical Methods of the Case/Control Study

Open access
Kotloff, Karen L., Blackwelder, William C., Nasrin, Dilruba, Nataro, James P., Farag, Tamer H., van Eijk, Annemieke, Adegbola, Richard A., Alonso, Pedro L., Breiman, Robert F., Golam Faruque, Abu Syed, Saha, Debasish, Sow, Samba O., Sur, Dipika, Zaidi, Anita K. M., Biswas, Kousick, Panchalingam, Sandra, Clemens, John D., Cohen, Dani, Glass, Roger I., Mintz, Eric D., Sommerfelt, Halvor, Levine, Myron M.·2012·Clinical Infectious Diseases

Abstract

BACKGROUND: Diarrhea is a leading cause of illness and death among children aged <5 years in developing countries. This paper describes the clinical and epidemiological methods used to conduct the Global Enteric Multicenter Study (GEMS), a 3-year, prospective, age-stratified, case/control study to estimate the population-based burden, microbiologic etiology, and adverse clinical consequences of acute moderate-to-severe diarrhea (MSD) among a censused population of children aged 0-59 months seeking care at health centers in sub-Saharan Africa and South Asia. METHODS: GEMS was conducted at 7 field sites, each serving a population whose demography and healthcare utilization practices for childhood diarrhea were documented. We aimed to enroll 220 MSD cases per year from selected health centers serving each site in each of 3 age strata (0-11, 12-23, and 24-59 months), along with 1-3 matched community controls. Cases and controls supplied clinical, epidemiologic, and anthropometric data at enrollment and again approximately 60 days later, and provided enrollment stool specimens for identification and characterization of potential diarrheal pathogens. Verbal autopsy was performed if a child died. Analytic strategies will calculate the fraction of MSD attributable to each pathogen and the incidence, financial costs, nutritional consequences, and case fatality overall and by pathogen. CONCLUSIONS: When completed, GEMS will provide estimates of the incidence, etiology, and outcomes of MSD among infants and young children in sub-Saharan Africa and South Asia. This information can guide development and implementation of public health interventions to diminish morbidity and mortality from diarrheal diseases.

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Metadata

Authors
Kotloff, K. L., Blackwelder, W. C., Nasrin, D., Nataro, J. P., Farag, T. H., van Eijk, A., Adegbola, R. A., Alonso, P. L., Breiman, R. F., Golam Faruque, A. S., Saha, D., Sow, S. O., Sur, D., Zaidi, A. K. M., Biswas, K., Panchalingam, S., Clemens, J. D., Cohen, D., Glass, R. I., Mintz, E. D., Sommerfelt, H., & Levine, M. M.
Venue
Clinical Infectious Diseases
Published
2012-12-15
Volume
55
Issue
suppl_4
Pages
S232-S245
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2171475272
Cited by
373
References
35
FWCI
13.15
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Global Enteric Multicenter Study (GEMS) of Diarrheal Disease in Infants and Young Children in Developing Countries: Epidemiologic and Clinical Methods of the Case/Control Study. https://app.cochat.ai/papers/10.1093/cid/cis753
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Kotloff, K. L., Blackwelder, W. C., Nasrin, D., Nataro, J. P., Farag, T. H., van Eijk, A., Adegbola, R. A., Alonso, P. L., Breiman, R. F., Golam Faruque, A. S., Saha, D., Sow, S. O., Sur, D., Zaidi, A. K. M., Biswas, K., Panchalingam, S., Clemens, J. D., Cohen, D., Glass, R. I., . . . Levine, M. M. (2012). The Global Enteric Multicenter Study (GEMS) of Diarrheal Disease in Infants and Young Children in Developing Countries: Epidemiologic and Clinical Methods of the Case/Control Study. Clinical Infectious Diseases. https://doi.org/10.1093/cid/cis753

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.