Leptospirosis prevalence and risk factors in India: Evidence gap maps.


Journal

Tropical doctor
ISSN: 1758-1133
Titre abrégé: Trop Doct
Pays: England
ID NLM: 1301706

Informations de publication

Date de publication:
Jul 2021
Historique:
pubmed: 10 4 2021
medline: 21 10 2021
entrez: 9 4 2021
Statut: ppublish

Résumé

Leptospirosis is a zoonotic disease of public health importance in India. A country-level evidence gap map was developed to identify gaps on epidemiology of leptospirosis. It is the first such on leptospirosis globally and on any single disease condition in India. The steps for development of evidence gap map were development of a framework to map evidence, retrieval of evidence, data extraction parameters and mapping of available evidence in evidence gap map framework. The prevalence evidence gap map consisted of 157 studies (102 in humans, 55 in animals, and 12 in both). The evidence gap map on risk factors had 120 studies (102 in humans, 11 in animals and 7 in both). There were inter-state differences in availability of research and disparity between animal and human research. Research on high-risk groups was limited and studies did not use the One Health approach to identify epidemiology, which can help understand the issue more comprehensively. The study demonstrates the potential of evidence gap maps to inform research priorities.

Identifiants

pubmed: 33832378
doi: 10.1177/00494755211005203
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

415-421

Auteurs

Sandeep Moola (S)

The George Institute for Global Health, New Delhi, India.

Deepti Beri (D)

The George Institute for Global Health, New Delhi, India.

Abdul Salam (A)

The George Institute for Global Health, New Delhi, India.

Jagnoor Jagnoor (J)

The George Institute for Global Health, New Delhi, India.

Arun Teja (A)

The George Institute for Global Health, New Delhi, India.

Soumyadeep Bhaumik (S)

The George Institute for Global Health, New Delhi, India.

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Classifications MeSH