BackgroundNational level policymaking and implementation includes multiple stakeholders with varied interests and priorities. Multi-stakeholder dialogues (MSDs) can facilitate consensus building through collective identification of challenges, recognition of shared goals and interests, and creation of solution pathways. This can shape joint planning and implementation for long-term efficiency in health and other sectors. Scaling up the effective use of information and communication technologies (ICTs) requires cohesive strategic planning towards a shared goal. In Bangladesh, the government and partners convened an MSD in March 2015 to increase stakeholder engagement in policymaking and implementation of a national ICT or electronic or mobile health (eHealth or mHealth) strategy, which seeks to incorporate ICTs into the national health system, aligning with the Digital Bangladesh Vision 2021.MethodsRelevant stakeholders were identified and key priorities and challenges were mapped through key informant interviews. An MSD was conducted with key stakeholders in Dhaka, Bangladesh. The MSD included presentations, group option generation, agreement and prioritization of barriers to scaling up ICTs.ResultsThe MSD approach to building consensus on key priorities highlights the value of dialogue and collaboration with relevant stakeholders to encourage country ownership of nationwide efforts such as ICT scale-up. This MSD showed the dynamic context in which stakeholders operate, including those from academia, donors and foundations, healthcare professionals, associations, multilateral organizations, non-governmental organizations, partner countries and the private sector. Through this MSD, participants improved understanding of each other’s contributions and interests, identified existing relationships, and agreed on policy and implementation gaps that needed to be filled. Collaboration among stakeholders in ICT efforts and research can promote a cohesive approach to scaling up, as well as improve policymaking by integrating interests and feedback of different key cross sectoral actors.ConclusionMSDs can align stakeholders to identify challenges and solution pathways, and lead to coordinated action and accountability for resources and results. In addition, the MSD template and approach has been useful to guide ICT scale up in Bangladesh and could be replicated in other contexts to facilitate multi-constituency, multi-sector collaboration.Electronic supplementary materialThe online version of this article (doi:10.1186/s12961-015-0063-2) contains supplementary material, which is available to authorized users.

Genomics, combined with population mobility data, used to map importation and spatial spread of SARS-CoV-2 in high-income countries has enabled the implementation of local control measures. Here, to track the spread of SARS-CoV-2 lineages in Bangladesh at the national level, we analysed outbreak trajectory and variant emergence using genomics, Facebook ‘Data for Good’ and data from three mobile phone operators. We sequenced the complete genomes of 67 SARS-CoV-2 samples (collected by the IEDCR in Bangladesh between March and July 2020) and combined these data with 324 publicly available Global Initiative on Sharing All Influenza Data (GISAID) SARS-CoV-2 genomes from Bangladesh at that time. We found that most (85%) of the sequenced isolates were Pango lineage B.1.1.25 (58%), B.1.1 (19%) or B.1.36 (8%) in early-mid 2020. Bayesian time-scaled phylogenetic analysis predicted that SARS-CoV-2 first emerged during mid-February in Bangladesh, from abroad, with the first case of coronavirus disease 2019 (COVID-19) reported on 8 March 2020. At the end of March 2020, three discrete lineages expanded and spread clonally across Bangladesh. The shifting pattern of viral diversity in Bangladesh, combined with the mobility data, revealed that the mass migration of people from cities to rural areas at the end of March, followed by frequent travel between Dhaka (the capital of Bangladesh) and the rest of the country, disseminated three dominant viral lineages. Further analysis of an additional 85 genomes (November 2020 to April 2021) found that importation of variant of concern Beta (B.1.351) had occurred and that Beta had become dominant in Dhaka. Our interpretation that population mobility out of Dhaka, and travel from urban hotspots to rural areas, disseminated lineages in Bangladesh in the first wave continues to inform government policies to control national case numbers by limiting within-country travel.

Problem Bangladesh has no national system for registering deaths and determining their causes. As a result, policy-makers lack reliable and complete data to inform public health decisions. Approach In 2016, the government of Bangladesh introduced a pilot project to strengthen the civil registration and vital statistics system and generate cause of death data in Kaliganj Upazila. Community-based health workers were trained to notify births and deaths to the civil registrar, and to conduct verbal autopsy interviews with family members of a deceased person. International experts in cause-of-death certification and coding trained master trainers on how to complete the international medical certificate of cause of death. These trainers then trained physicians and coders. Local setting Kaliganj Upazila has an estimated population of 304 600, and 5600 births and 1550 deaths annually. Health assistants and family welfare assistants make regular visits to households to track certain health outcomes. Relevant changes Following the start of the project in 2016, the number of births registered within 45 days rose from 873 to 4630 in 2018. The number of deaths registered within 45 days increased from 458 to 1404. During this period, health assistants conducted 7837 verbal autopsy interviews. Between January 2017 and December 2018, 105 master trainers and more than 7000 physicians were trained to complete the international medical certificate of cause of death and they completed more than 12 000 certificates. Lessons learnt Training community-based health workers, physicians and coders were successful approaches to improve death registration completeness and availability of cause-of-death data.

Limitations in laboratory diagnostic capacity and reporting delays have hampered efforts to mitigate and control the ongoing coronavirus disease 2019 (COVID-19) pandemic globally. To augment traditional lab and hospital-based surveillance, Bangladesh established a participatory surveillance system for the public to self-report symptoms consistent with COVID-19 through multiple channels. Here, we report on the use of this system, which received over 3 million responses within two months, for tracking the COVID-19 outbreak in Bangladesh. Although we observe considerable noise in the data and initial volatility in the use of the different reporting mechanisms, the self-reported syndromic data exhibits a strong association with lab-confirmed cases at a local scale. Moreover, the syndromic data also suggests an earlier spread of the outbreak across Bangladesh than is evident from the confirmed case counts, consistent with predicted spread of the outbreak based on population mobility data. Our results highlight the usefulness of participatory syndromic surveillance for mapping disease burden generally, and particularly during the initial phases of an emerging outbreak.

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