Next Article in Journal
Estimating Residents’ Preferences of the Land Use Program Surrounding Forest Park, Taiwan
Next Article in Special Issue
Mobile Healthcare Applications and Gamification for Sustained Health Maintenance
Previous Article in Journal
Spatial and Temporal Variations in the Ecological Footprints in Northwest China from 2005 to 2014
Previous Article in Special Issue
Spatiotemporal Patterns of Ozone and Cardiovascular and Respiratory Disease Mortalities Due to Ozone in Shenzhen
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(4), 604; doi:10.3390/su9040604

Towards Sustainable Public Health Surveillance in India: Using Routinely Collected Electronic Emergency Medical Service Data for Early Warning of Infectious Diseases

1
Department of Health, Ethics and Society, School of Public Health and Primary Care (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229HA Maastricht, The Netherlands
2
GVK Emergency Management Research Institute, Secunderabad 500078, India
3
Indian Institute of Health Management Research, Bangalore 560105, India
4
Public Health Foundation India, Indian Institute of Public Health Hyderabad, Telangana 500033, India
5
London School of Hygiene and Tropical Medicine, London WC1E7HT, UK
*
Author to whom correspondence should be addressed.
Received: 26 February 2017 / Revised: 5 April 2017 / Accepted: 7 April 2017 / Published: 13 April 2017
View Full-Text   |   Download PDF [2552 KB, uploaded 14 April 2017]   |  

Abstract

Infectious disease surveillance, timely detection and early warning of outbreaks present a complex challenge to health authorities in India. Approaches based on the use of unexplored data sources, like emergency medical services (EMS) data, can contribute to the further advancement of public health surveillance capacities in India and support and strengthen the Integrated Disease Surveillance Programme (IDSP) strategy. This research followed a mixed method approach including a series of semi-structured interviews and fever data analysis of the EMS operating dispatch system in Andra Pradesh, India. In this paper, we explore whether routinely collected EMS health data can improve sustainable infectious disease surveillance and early warning capacity. The result highlights the need for improved surveillance systems for early warning of infectious diseases in India. The data availability at the EMS dispatch centre includes patient data and spatial information and can be used for near real-time analysis. Routine data relevant for health surveillance can be extracted to provide timely health information that supplements and enhances more traditional surveillance mechanisms and thus provides a cost-efficient, near real-time early warning system for the operating states. The designed intervention is sustainable and can improve infectious disease surveillance to potentially help the government officials to appropriately prioritize timely interventions to prevent infectious disease spread. View Full-Text
Keywords: early warning; surveillance; EMS; infectious disease; information system research; India; syndromic surveillance; International Health Regulations; dengue; AUF early warning; surveillance; EMS; infectious disease; information system research; India; syndromic surveillance; International Health Regulations; dengue; AUF
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pilot, E.; Roa, R.; Jena, B.; Kauhl, B.; Krafft, T.; Murthy, G. Towards Sustainable Public Health Surveillance in India: Using Routinely Collected Electronic Emergency Medical Service Data for Early Warning of Infectious Diseases. Sustainability 2017, 9, 604.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top