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Surveillance to achieve malaria elimination in eastern Myanmar: a 7-year observational study

Authors :
Rae, JD
Nosten, S
Kajeechiwa, L
Wiladphaingern, J
Parker, DM
Landier, J
Thu, AM
Dah, H
Be, A
Cho, WC
Paw, KN
Paw, ES
Shee, PB
Poe, C
Nu, C
Nyaw, B
Simpson, JA
Devine, A
Maude, RJ
Moo, KL
Min, MC
Thwin, MM
Tun, SW
Nosten, FH
Mahidol Oxford Tropical Medicine Research Unit (MORU)
University of Oxford-Mahidol University [Bangkok]-Wellcome Trust
Nuffield Department of Clinical Medicine [Oxford]
University of Oxford
University of California [Irvine] (UC Irvine)
University of California (UC)
Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD)
Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Institut des sciences de la santé publique [Marseille] (ISSPAM)
University of Melbourne
Charles Darwin University [Australia]
The Open University [Milton Keynes] (OU)
Harvard T.H. Chan School of Public Health
Nuffield Department of Medicine [Oxford, UK] (Big Data Institute)
Source :
Malaria journal, vol 21, iss 1, Malaria Journal, Malaria Journal, 2022, 21 (1), pp.175. ⟨10.1186/s12936-022-04175-w⟩
Publication Year :
2022
Publisher :
eScholarship, University of California, 2022.

Abstract

Background The collection and utilization of surveillance data is essential in monitoring progress towards achieving malaria elimination, in the timely response to increases in malaria case numbers and in the assessment of programme functioning. This paper describes the surveillance activities used by the malaria elimination task force (METF) programme which operates in eastern Myanmar, and provides an analysis of data collected from weekly surveillance, case investigations, and monitoring and evaluation of programme performance. Methods This retrospective analysis was conducted using data collected from a network of 1250 malaria posts operational between 2014 and 2021. To investigate changes in data completeness, malaria post performance, malaria case numbers, and the demographic details of malaria cases, summary statistics were used to compare data collected over space and time. Results In the first 3 years of the METF programme, improvements in data transmission routes resulted in a 18.9% reduction in late reporting, allowing for near real-time analysis of data collected at the malaria posts. In 2020, travel restrictions were in place across Karen State in response to COVID-19, and from February 2021 the military coup in Myanmar resulted in widescale population displacement. However, over that period there has been no decline in malaria post attendance, and the majority of consultations continue to occur within 48 h of fever onset. Case investigations found that 43.8% of cases travelled away from their resident village in the 3 weeks prior to diagnosis and 36.3% reported never using a bed net whilst sleeping in their resident village, which increased to 72.2% when sleeping away from their resident village. Malaria post assessments performed in 82.3% of the METF malaria posts found malaria posts generally performed to a high standard. Conclusions Surveillance data collected by the METF programme demonstrate that despite significant changes in the context in which the programme operates, malaria posts have remained accessible and continue to provide early diagnosis and treatment contributing to an 89.3% decrease in Plasmodium falciparum incidence between 2014 and 2021.

Details

ISSN :
14752875
Database :
OpenAIRE
Journal :
Malaria journal, vol 21, iss 1, Malaria Journal, Malaria Journal, 2022, 21 (1), pp.175. ⟨10.1186/s12936-022-04175-w⟩
Accession number :
edsair.doi.dedup.....21177af916984356e8dc8eda60a5dc1d