Malaria burden and control in Bangladesh and prospects for elimination: an epidemiological and economic assessment

Haque, Ubydul, Overgaard, Hans J., Clements, Archie C. A., Norris, Douglas E., Islam, Nazrul, Karim, Jahirul, Roy, Shyamal, Haque, Waziul, Kabir, Moktadir, Smith, David L. and Glass, Gregory E. (2014) Malaria burden and control in Bangladesh and prospects for elimination: an epidemiological and economic assessment. The Lancet Global Health, 2 2: e98-e105. doi:10.1016/S2214-109X(13)70176-1

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Haque, Ubydul
Overgaard, Hans J.
Clements, Archie C. A.
Norris, Douglas E.
Islam, Nazrul
Karim, Jahirul
Roy, Shyamal
Haque, Waziul
Kabir, Moktadir
Smith, David L.
Glass, Gregory E.
Title Malaria burden and control in Bangladesh and prospects for elimination: an epidemiological and economic assessment
Journal name The Lancet Global Health   Check publisher's open access policy
ISSN 2214-109X
Publication date 2014-02
Year available 2014
Sub-type Article (original research)
DOI 10.1016/S2214-109X(13)70176-1
Open Access Status DOI
Volume 2
Issue 2
Start page e98
End page e105
Total pages 8
Place of publication London, United Kingdom
Publisher The Lancet Publishing Group
Collection year 2015
Language eng
Formatted abstract
Malaria is endemic in 13 of 64 districts in Bangladesh. About 14 million people are at risk. Some evidence suggests that the prevalence of malaria in Bangladesh has decreased since the the Global Fund to Fight AIDS, Tuberculosis and Malaria started to support the National Malaria Control Program (NMCP) in 2007. We did an epidemiological and economic assessment of malaria control in Bangladesh.

We obtained annually reported, district-level aggregated malaria case data and information about disbursed funds from the NMCP. We used a Poisson regression model to examine the associations between total malaria, severe malaria, malaria-attributable mortality, and insecticide-treated net coverage. We identified and mapped malaria hotspots using the Getis-Ord Gi* statistic. We estimated the cost-effectiveness of the NMCP by estimating the cost per confirmed case, cost per treated case, and cost per person of insecticide-treated net coverage.

During the study period (from Jan 1, 2008, to Dec 31, 2012) there were 285 731 confirmed malaria cases. Malaria decreased from 6·2 cases per 1000 population in 2008, to 2·1 cases per 1000 population in 2012. Prevalence of all malaria decreased by 65% (95% CI 65–66), severe malaria decreased by 79% (78–80), and malaria-associated mortality decreased by 91% (83–95). By 2012, there was one insecticide-treated net for every 2·6 individuals (SD 0·20). Districts with more than 0·5 insecticide-treated nets per person had a decrease in prevalence of 21% (95% CI 19–23) for all malaria, 25% (17–32) for severe malaria, and 76% (35–91) for malaria-associated mortality among all age groups. Malaria hotspots remained in the highly endemic districts in the Chittagong Hill Tracts. The cost per diagnosed case was US$0·39 (SD 0·02) and per treated case was $0·51 (0·27); $0·05 (0·04) was invested per person per year for health education and $0·68 (0·30) was spent per person per year for insecticide-treated net coverage.

Malaria elimination is an achievable prospect in Bangladesh and failure to push for elimination nearly ensures a resurgence of disease. Consistent financing is needed to avoid resurgence and maintain elimination goals.
Keyword Malaria control
Epidemiological assessment
Economic assessment
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Public Health Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 18 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 22 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 18 Feb 2014, 00:25:27 EST by System User on behalf of School of Public Health