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The Indian health and demographic surveillance system network: Opportunity to generate evidence for public health policy

Authors :
Arun K Yadav
Rutuja Patil
Sanjay Juvekar
Source :
Indian Journal of Community Medicine, Vol 48, Iss 6, Pp 808-810 (2023)
Publication Year :
2023
Publisher :
Wolters Kluwer Medknow Publications, 2023.

Abstract

The Health and Demographic Surveillance System (HDSS) is a valuable longitudinal cohort study that tracks the health and demographic changes of a geographically defined population, serving as a platform for research and evidence-based policymaking. In India, there are nearly 20 HDSS sites covering diverse areas and populations totaling around two million. To foster collaboration, the Indian HDSS Network (IHN) was formed, comprising 19 sites from 16 institutes, covering a population of 1.5 million. The IHN aims to standardize data collection processes while allowing site-specific autonomy, generating high-quality longitudinal health, and demographic data. To ensure effective coordination, a governance structure with a rotating secretariat and working committee was proposed. The IHN envisions conducting robust multicentric research, supporting data-driven efforts to improve population health, and promoting research-policy synergy. The network's outcomes have the potential to optimize health research funding, generate epidemiological data, and provide evidence for public health policy. Collaboration within the IHN strengthens HDSS sites in newer technologies and community-based research, fostering capacity building. Seed funding is being sought to formalize and support the day-to-day functioning of the network, which holds promise for advancing population health and informing policymaking in India.

Details

Language :
English
ISSN :
09700218 and 19983581
Volume :
48
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Indian Journal of Community Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.9da0c3d805d94e6fb0a82a2c71409da5
Document Type :
article
Full Text :
https://doi.org/10.4103/ijcm.ijcm_995_22