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Background: Community engagement has increasingly received attention in malaria research and programme interventions, particularly as countries aim for malaria elimination. Although community engagement strategies and activities are constantly developing, little is known about how those who implement research or programmes view community engagement. This article explores the perspectives of researchers and policy makers in the Greater Mekong Sub-region (GMS) on community engagement for malaria control and elimination., Methods: Semi-structured interviews were conducted among 17 policymakers and 15 senior researchers working in the field of malaria. All interviews were audio-recorded and transcribed in English. Transcribed data were analysed using deductive and inductive approaches in QSR NVivo. Themes and sub-themes were generated., Results: Researchers and policymakers emphasized the importance of community engagement in promoting participation in malaria research and interventions. Building trust with the community was seen as crucial. Respondents emphasized involving authority/leadership structures and highlighted the need for intense and participatory engagement. Geographic remoteness, social, cultural, and linguistic diversity were identified as barriers to meaningful engagement. Local staff were described as an essential 'connect' between researchers or policymakers and prospective participants. Sharing information with community members, using various strategies including creative and participatory methods were highlighted., Conclusions: Policymakers and researchers involved in malaria prevention and control in the GMS viewed community engagement as crucial for promoting participation in research or programmatic interventions. Given the difficulties of the 'last mile' to elimination, sustained investment in community engagement is needed in isolated areas of the GMS where malaria transmission continues. Involving community-based malaria workers is ever more critical to ensure the elimination efforts engage hard-to-reach populations in remote areas of GMS., (© 2022. The Author(s).)

Background: As malaria elimination becomes a goal in malaria-endemic nations, questions of feasibility become critical. This article explores the potential challenges associated with this goal and future strategies for malaria elimination in the Greater Mekong Sub-region., Methods: Thirty-two semi-structured interviews were conducted with policy makers (n = 17) and principal investigators (n = 15) selected based on their involvement in malaria prevention, control and elimination in the GMS. Interviews were audio-recorded and transcribed for qualitative content (thematic) analysis using QSR NVivo., Results: All respondents described current malaria control and elimination strategies, such as case detection and management, prevention and strengthening of surveillance systems as critical and of equal priority. Aware of the emergence of multi-drug resistance in the GMS, researchers and policy makers outlined the need for additional elimination tools. As opposed to a centralized strategy, more targeted and tailored approaches to elimination were recommended. These included targeting endemic areas, consideration for local epidemiology and malaria species, and strengthening the peripheral health system. A decline in malaria transmission could lead to complacency amongst funders and policy makers resulting in a reduction or discontinuation of support for malaria elimination. Strong commitment of policymakers combined with strict monitoring and supervision by funders were considered pivotal to successful elimination programmes., Conclusion: Against a backdrop of increasing anti-malarial resistance and decreasing choices of anti-malarial regimens, policy makers and researchers stressed the urgency of finding new malaria elimination strategies. There was consensus that multi-pronged strategies and approaches are needed, that no single potential tool/strategy can be appropriate to all settings. Hence there is a need to customize malaria control and elimination strategies based on the better surveillance data.