Back to Search
Start Over
Effectiveness of the Innovative 1,7-Malaria Reactive Community-Based Testing and Response Approach (1, 7-mRCT) on Malaria Burden Reduction in Southeastern Tanzania
- Source :
- SSRN Electronic Journal.
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Background: In 2015, a China-UK-Tanzania tripartite pilot project was implemented in south-eastern Tanzania to explore a new model to reduce the malaria burden with the aim of eventually scaling-up the approach in Africa. Chinese and Tanzanian teams have developed a locally-tailored malaria control approach screening for febrile cases in endemic villages on Day 1 followed by focal treatment of holoendemic villages within 7 days to stop transmission at the same phase of the plasmodium life-cycle. This 1,7-Reactive Community-based Testing and Response (1,7-mRCT) model can utilize existing health facility data and locally trained community-based health workers to conduct community-level testing and treatment. Methods: Matched malaria incidence pairs of control and intervention wards were chosen. The latter arm was selected for the 1,7-mRCT approach, while the control wards relied on long-lasting insecticide-treated bednets only. The 1,7-mRCT activities included community testing and treatment of malaria infection. Case-to-suspect ratios of malaria cases were aggregated at the village level weekly to identify the village with the highest ratio. Community-based mobile test stations (cMTS) were used for mass testing and treatment. The pilot project was implemented from September 2015 to June 2018 with 85 rounds of 1,7-mRCT implemented in the intervention wards. Comparing the two arms of approach we look for any change in malaria prevalence from the baseline to the endline survey. Besides we also studied the malaria incidence reported at the health facilities after interventions in the treated villages. Findings: Compared to the control wards, the 1,7-mRCT model significantly reduced the malaria infections by 66% (adjusted OR 0.34, 95%CI 0.26-0.44, p
Details
- ISSN :
- 15565068
- Database :
- OpenAIRE
- Journal :
- SSRN Electronic Journal
- Accession number :
- edsair.doi...........a8381d14b625fd693d977f67930fe616