Mlacha, Yeromin P. and Wang, Duoquan and Chaki, Prosper P. and Gavana, Tegemeo and Zhou, Zhengbin and Michael, Mihayo G. and Khatib, Rashid and Chila, Godlove and Msuya, Hajirani M. and Chaki, Exavery and Makungu, Christina and Lin, Kangming and Tambo, Ernest and Rumisha, Susan F. and Mkude, Sigsbert and Mahende, Muhidin K. and Chacky, Frank and Vounatsou, Penelope and Tanner, Marcel and Masanja, Honorati and Aregawi, Maru and Hertzmark, Ellen and Xiao, Ning and Abdulla, Salim and Zhou, Xiao-Nong.
(2020)
Effectiveness of the innovative 1,7-malaria reactive community-based testing and response (1, 7-mRCTR) approach on malaria burden reduction in Southeastern Tanzania.
Malaria journal, 19.
p. 292.
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Official URL: https://edoc.unibas.ch/78483/
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Abstract
In 2015, a China-UK-Tanzania tripartite pilot project was implemented in southeastern Tanzania to explore a new model for reducing malaria burden and possibly scaling-out the approach into other malaria-endemic countries. The 1,7-malaria Reactive Community-based Testing and Response (1,7-mRCTR) which is a locally-tailored approach for reporting febrile malaria cases in endemic villages was developed to stop transmission and Plasmodium life-cycle. The (1,7-mRCTR) utilizes existing health facility data and locally trained community health workers to conduct community-level testing and treatment.; The pilot project was implemented from September 2015 to June 2018 in Rufiji District, southern Tanzania. The study took place in four wards, two with low incidence and two with a higher incidence. One ward of each type was selected for each of the control and intervention arms. The control wards implemented the existing Ministry of Health programmes. The 1,7-mRCTR activities implemented in the intervention arm included community testing and treatment of malaria infection. Malaria case-to-suspect ratios at health facilities (HF) were aggregated by villages, weekly to identify the village with the highest ratio. Community-based mobile test stations (cMTS) were used for conducting mass testing and treatment. Baseline (pre) and endline (post) household surveys were done in the control and intervention wards to assess the change in malaria prevalence measured by the interaction term of 'time' (post vs pre) and arm in a logistic model. A secondary analysis also studied the malaria incidence reported at the HFs during the intervention.; Overall the 85 rounds of 1,7-mRCTR conducted in the intervention wards significantly reduced the odds of malaria infection by 66% (adjusted OR 0.34, 95% CI 0.26,0.44, p < 0001) beyond the effect of the standard programmes. Malaria prevalence in the intervention wards declined by 81% (from 26% (95% CI 23.7, 7.8), at baseline to 4.9% (95% CI 4.0, 5.9) at endline). In villages receiving the 1,7-mRCTR, the short-term case ratio decreased by over 15.7% (95% CI - 33, 6) compared to baseline.; The 1,7-mRCTR approach significantly reduced the malaria burden in the areas of high transmission in rural southern Tanzania. This locally tailored approach could accelerate malaria control and elimination efforts. The results provide the impetus for further evaluation of the effectiveness and scaling up of this approach in other high malaria burden countries in Africa, including Tanzania.
Faculties and Departments: | 03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Malaria Vaccines (Tanner) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Former Units within Swiss TPH > Malaria Vaccines (Tanner) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Bayesian Modelling and Analysis (Vounatsou) |
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UniBasel Contributors: | Vounatsou, Penelope and Tanner, Marcel |
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Item Type: | Article, refereed |
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Article Subtype: | Research Article |
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ISSN: | 1475-2875 |
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Note: | Publication type according to Uni Basel Research Database: Journal article |
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Language: | English |
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Identification Number: | |
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edoc DOI: | |
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Last Modified: | 19 Dec 2022 07:56 |
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Deposited On: | 19 Dec 2022 07:56 |
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