Next Article in Journal / Special Issue
Canadian Forest Fires and the Effects of Long-Range Transboundary Air Pollution on Hospitalizations among the Elderly
Previous Article in Journal
GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2014, 3(2), 693-712; doi:10.3390/ijgi3020693

Nexus of Health and Development: Modelling Crude Birth Rate and Maternal Mortality Ratio Using Nighttime Satellite Images

1
Institute for Sustainability and Peace (UNU-ISP), United Nations University, Tokyo 150-8925, Japan
2
School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, VIC 3001, Australia
*
Author to whom correspondence should be addressed.
Received: 26 February 2014 / Revised: 14 April 2014 / Accepted: 25 April 2014 / Published: 9 May 2014
(This article belongs to the Special Issue Remote Sensing and Geospatial Technologies in Public Health)
View Full-Text   |   Download PDF [1116 KB, uploaded 12 May 2014]   |  

Abstract

Health and development are intricately related. Although India has made significant progress in the last few decades in the health sector and overall growth in GDP, there are still large regional differences in both health and development. The main objective of this paper is to develop techniques for the prediction of health indicators for all the districts of India and examine the correlations between health and development. The level of electrification and district domestic product (DDP) are considered as two fundamental indicators of development in this research. These data, along with health metrics and the information from two nighttime satellite images, were used to propose the models. These successfully predicted the health indicators with less than a 7%–10% error. The chosen health metrics, such as crude birth rate (CBR) and maternal mortality rate (MMR), were mapped for the whole country at the district level. These metrics showed very strong correlation with development indicators (correlation coefficients ranging from 0.92 to 0.99 at the 99% confidence interval). This is the first attempt to use Visible Infrared Imaging Radiometer Suite (VIIRS) (satellite) imagery in a socio-economic study. This paper endorses the observation that areas with a higher DDP and level of electrification have overall better health conditions. View Full-Text
Keywords: health GIS; health atlas; development; geospatial technology; nighttime lights; satellite earth observation; remote sensing; modelling; public health health GIS; health atlas; development; geospatial technology; nighttime lights; satellite earth observation; remote sensing; modelling; public health
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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

Roychowdhury, K.; Jones, S. Nexus of Health and Development: Modelling Crude Birth Rate and Maternal Mortality Ratio Using Nighttime Satellite Images. ISPRS Int. J. Geo-Inf. 2014, 3, 693-712.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top