2020
DOI: 10.21203/rs.3.rs-32068/v2
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Effectiveness of the innovative 1,7-malaria reactive community-based testing and response (1, 7-mRCTR) approach on malaria burden reduction in Southeastern Tanzania

Abstract: BackgroundIn 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… Show more

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“…Despite achieving high coverage of interventions in hotspot areas, the interventions resulted in a modest and transient reduction in transmission inside targeted hotspots and failed to influence malaria transmission dynamics outside the targeted areas [34]. In a more recent study in Rufiji District, southern Tanzania, the implementation of a locally tailored surveillance-response strategy contributed convincingly to the reduction of malaria burden in hotspot villages (with the highest malaria incidence ratio) using health facility-based data [35]. This study offered the first example of surveillance as an intervention in areas with high malaria burden, which is in line with the current World Health Organization-recommended strategies for district-level malaria information systems [35][36][37].…”
Section: Discussionmentioning
confidence: 99%
“…Despite achieving high coverage of interventions in hotspot areas, the interventions resulted in a modest and transient reduction in transmission inside targeted hotspots and failed to influence malaria transmission dynamics outside the targeted areas [34]. In a more recent study in Rufiji District, southern Tanzania, the implementation of a locally tailored surveillance-response strategy contributed convincingly to the reduction of malaria burden in hotspot villages (with the highest malaria incidence ratio) using health facility-based data [35]. This study offered the first example of surveillance as an intervention in areas with high malaria burden, which is in line with the current World Health Organization-recommended strategies for district-level malaria information systems [35][36][37].…”
Section: Discussionmentioning
confidence: 99%