• Kamran Ahmed, Muhammad Arish Bukhari, Tamayi Mlanda, Jean Paul Kimenyi, Polly Wallace, Charles Okot Lukoya, Esther L Hamblion, and Benido Impouma.
• Regional Office for Africa, World Health Organization, Brazzaville, Congo.
• JMIR Public Health Surveill. 2020 Oct 14; 6 (4): e20355.

BackgroundThe COVID-19 pandemic has created unprecedented challenges to the systematic and timely sharing of COVID-19 field data collection and management. The World Health Organization (WHO) is working with health partners on the rollout and implementation of a robust electronic field data collection platform. The delay in the deployment and rollout of this electronic platform in the WHO African Region, as a consequence of the application of large-scale public health and social measures including movement restrictions and geographical area quarantine, left a gap between data collection and management. This lead to the need to develop interim data management solutions to accurately monitor the evolution of the pandemic and support the deployment of appropriate public health interventions.ObjectiveThe aim of this study is to review the design, development, and implementation of the COVID-19 Data Summarization and Visualization (DSV) tool as a rapidly deployable solution to fill this critical data collection gap as an interim solution.MethodsThis paper reviews the processes undertaken to research and develop a tool to bridge the data collection gap between the onset of a COVID-19 outbreak and the start of data collection using a prioritized electronic platform such as Go.Data in the WHO African Region.ResultsIn anticipation of the implementation of a prioritized tool for field data collection, the DSV tool was deployed in 18 member states for COVID-19 outbreak data management. We highlight preliminary findings and lessons learned from the DSV tool deployment in the WHO African Region.ConclusionsWe developed a rapidly deployable tool for COVID-19 data collection and visualization in the WHO African Region. The lessons drawn on this experience offer an opportunity to learn and apply these to improve future similar public health informatics initiatives in an outbreak or similar humanitarian setting, particularly in low- and middle-income countries.©Kamran Ahmed, Muhammad Arish Bukhari, Tamayi Mlanda, Jean Paul Kimenyi, Polly Wallace, Charles Okot Lukoya, Esther L Hamblion, Benido Impouma. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 14.10.2020.

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