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Published in: Population Health Metrics 1/2010

Open Access 01-12-2010 | Research

The Summary Index of Malaria Surveillance (SIMS): a stable index of malaria within India

Authors: Alan A Cohen, Neeraj Dhingra, Raju M Jotkar, Peter S Rodriguez, Vinod P Sharma, Prabhat Jha

Published in: Population Health Metrics | Issue 1/2010

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Abstract

Background

Malaria in India has been difficult to measure. Mortality and morbidity are not comprehensively reported, impeding efforts to track changes in disease burden. However, a set of blood measures has been collected regularly by the National Malaria Control Program in most districts since 1958.

Methods

Here, we use principal components analysis to combine these measures into a single index, the Summary Index of Malaria Surveillance (SIMS), and then test its temporal and geographic stability using subsets of the data.

Results

The SIMS correlates positively with all its individual components and with external measures of mortality and morbidity. It is highly consistent and stable over time (1995-2005) and regions of India. It includes measures of both vivax and falciparum malaria, with vivax dominant at lower transmission levels and falciparum dominant at higher transmission levels, perhaps due to ecological specialization of the species.

Conclusions

This measure should provide a useful tool for researchers looking to summarize geographic or temporal trends in malaria in India, and can be readily applied by administrators with no mathematical or scientific background. We include a spreadsheet that allows simple calculation of the index for researchers and local administrators. Similar principles are likely applicable worldwide, though further validation is needed before using the SIMS outside India.
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Metadata
Title
The Summary Index of Malaria Surveillance (SIMS): a stable index of malaria within India
Authors
Alan A Cohen
Neeraj Dhingra
Raju M Jotkar
Peter S Rodriguez
Vinod P Sharma
Prabhat Jha
Publication date
01-12-2010
Publisher
BioMed Central
Published in
Population Health Metrics / Issue 1/2010
Electronic ISSN: 1478-7954
DOI
https://doi.org/10.1186/1478-7954-8-1

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