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Malaria hotspots drive hypoendemic transmission in the Chittagong Hill Districts of Bangladesh.

Publication ,  Journal Article
Ahmed, S; Galagan, S; Scobie, H; Khyang, J; Prue, CS; Khan, WA; Ram, M; Alam, MS; Haq, MZ; Akter, J; Glass, G; Norris, DE; Nyunt, MM ...
Published in: PloS one
January 2013

Malaria is endemic in 13 of 64 districts of Bangladesh, representing a population at risk of about 27 million people. The highest rates of malaria in Bangladesh occur in the Chittagong Hill Districts, and Plasmodium falciparum (predominately chloroquine resistant) is the most prevalent species.The objective of this research was to describe the epidemiology of symptomatic P. falciparum malaria in an area of Bangladesh following the introduction of a national malaria control program. We carried out surveillance for symptomatic malaria due to P. falciparum in two demographically defined unions of the Chittagong Hill Districts in Bangladesh, bordering western Myanmar, between October 2009 and May 2012. The association between sociodemographics and temporal and climate factors with symptomatic P. falciparum infection over two years of surveillance data was assessed. Risk factors for infection were determined using a multivariate regression model.472 cases of symptomatic P. falciparum malaria cases were identified among 23,372 residents during the study period. Greater than 85% of cases occurred during the rainy season from May to October, and cases were highly clustered geographically within these two unions with more than 80% of infections occurring in areas that contain approximately one-third of the total population. Risk factors statistically associated with infection in a multivariate logistic regression model were living in the areas of high incidence, young age, and having an occupation including jhum cultivation and/or daily labor. Use of long lasting insecticide-treated bed nets was high (89.3%), but its use was not associated with decreased incidence of infection.Here we show that P. falciparum malaria continues to be hypoendemic in the Chittagong Hill Districts of Bangladesh, is highly seasonal, and is much more common in certain geographically limited hot spots and among certain occupations.

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Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2013

Volume

8

Issue

8

Start / End Page

e69713

Related Subject Headings

  • Spatio-Temporal Analysis
  • Seasons
  • Male
  • Malaria, Falciparum
  • Logistic Models
  • Infant
  • Incidence
  • Humans
  • Housing
  • General Science & Technology
 

Citation

APA
Chicago
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Ahmed, S., Galagan, S., Scobie, H., Khyang, J., Prue, C. S., Khan, W. A., … Sack, D. A. (2013). Malaria hotspots drive hypoendemic transmission in the Chittagong Hill Districts of Bangladesh. PloS One, 8(8), e69713. https://doi.org/10.1371/journal.pone.0069713
Ahmed, Sabeena, Sean Galagan, Heather Scobie, Jacob Khyang, Chai Shwai Prue, Wasif Ali Khan, Malathi Ram, et al. “Malaria hotspots drive hypoendemic transmission in the Chittagong Hill Districts of Bangladesh.PloS One 8, no. 8 (January 2013): e69713. https://doi.org/10.1371/journal.pone.0069713.
Ahmed S, Galagan S, Scobie H, Khyang J, Prue CS, Khan WA, et al. Malaria hotspots drive hypoendemic transmission in the Chittagong Hill Districts of Bangladesh. PloS one. 2013 Jan;8(8):e69713.
Ahmed, Sabeena, et al. “Malaria hotspots drive hypoendemic transmission in the Chittagong Hill Districts of Bangladesh.PloS One, vol. 8, no. 8, Jan. 2013, p. e69713. Epmc, doi:10.1371/journal.pone.0069713.
Ahmed S, Galagan S, Scobie H, Khyang J, Prue CS, Khan WA, Ram M, Alam MS, Haq MZ, Akter J, Glass G, Norris DE, Nyunt MM, Shields T, Sullivan DJ, Sack DA. Malaria hotspots drive hypoendemic transmission in the Chittagong Hill Districts of Bangladesh. PloS one. 2013 Jan;8(8):e69713.

Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2013

Volume

8

Issue

8

Start / End Page

e69713

Related Subject Headings

  • Spatio-Temporal Analysis
  • Seasons
  • Male
  • Malaria, Falciparum
  • Logistic Models
  • Infant
  • Incidence
  • Humans
  • Housing
  • General Science & Technology