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Malaria profiles and challenges in artemisinin resistance containment in Myanmar

Overview of attention for article published in Infectious Diseases of Poverty, April 2017
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Title
Malaria profiles and challenges in artemisinin resistance containment in Myanmar
Published in
Infectious Diseases of Poverty, April 2017
DOI 10.1186/s40249-017-0292-4
Pubmed ID
Authors

Thet Wai Nwe, Tin Oo, Khin Thet Wai, Shuisen Zhou, Johan van Griensven, Palanivel Chinnakali, Safieh Shah, Aung Thi

Abstract

This study examined evolving malaria profiles from January, 2010 to December, 2014 to evaluate achievements and challenges of implementing measures to prevent and control spread of artemisinin resistance in Myanmar. Using National Malaria Control Programme (NMCP) data, a cross-sectional descriptive study of 52 townships in artemisinin-resistant containment areas in Myanmar was conducted. Annual program data were analysed, and trends over time are graphically presented. In the 52 study townships populated by 8.7 million inhabitants, malaria incidence showed a decreasing trend from 10.54 per 1 000 population in 2010 to 2.53 in 2014, and malaria mortalities also decreased from 1.83 per 100 000 population in 2010 to 0.17 in 2014. The proportion of confirmed to total tested malaria cases also decreased from 6 to 1%, while identification of cases improved. All cases from all parasites species, including Plasmodium falciparum, decreased. Coverage of LLIN (long-lasting insecticidal net)/ITN (insecticide-treated mosquito nets) and indoor residual spraying (IRS) was high in targeted areas with at-risk persons, even though the total population was not covered. In addition to passive case detection (PCD), active case detection (ACD) was conducted in hard-to-reach areas and worksites where mobile migrant populations were present. ACD improved in most areas from 2012 to 2014, but continues to need to be strengthened. The findings provide useful data on the malaria situation in artemisinin-resistant initiative areas, which may be useful for the NMCP to meet its elimination goal. These profiles could contribute to better planning, implementation, and evaluation of intervention activities.

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Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 21%
Student > Master 11 15%
Student > Ph. D. Student 6 8%
Lecturer 6 8%
Student > Postgraduate 4 5%
Other 13 17%
Unknown 19 25%
Readers by discipline Count As %
Medicine and Dentistry 24 32%
Agricultural and Biological Sciences 6 8%
Nursing and Health Professions 4 5%
Biochemistry, Genetics and Molecular Biology 4 5%
Social Sciences 4 5%
Other 12 16%
Unknown 21 28%