Abstract
Under the Cities COVID Mitigation Management (C2M2) project (Cites’ COVID Mitigation Mapping, MapGive, https://mapgive.state.gov/c2m2/), facility-based data was collected in several cities in Africa (Bukavu in the Democratic Republic of Congo, Nairobi and Kericho in Kenya, and Pemba in Mozambique). The data included geospatial information on water access points, healthcare, and education-related facilities in these cities. In addition, for each facility, data was collected around service availability, service capacity, and service readiness. The need for data to drive decision support was clearly illustrated through feedback from local populations, i.e., a Kibera resident shared the following: “When you go to the water point, sometimes you find long lines of water jerry cans, so you have to wait for hours or even go home without water; the fact that we needed more water during the corona pandemic was very demanding physically and financially. Quite often, we had to go fetch water from far places since there is no water in our area”. In this chapter, we discuss the facility-based data model and how the data collection process, metrics, and dashboards can be used to measure impact and prepare for and mitigate the impacts of any future natural or human-made disasters.
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Notes
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Secondary Cities (2C), U.S. Department of State, https://secondarycities.state.gov/
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Tool is available at https://www.kobotoolbox.org/
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Platform is available at https://hawkai.net
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App is available at http://citiesnavigator.com/lp/index-e.html
References
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Acknowledgments
This research was possible thanks to the Cities’ COVID Mitigation Mapping (C2M2) Program, developed by the US Department of State’s Humanitarian Information Unit and the American Association of Geographers (AAG). We would like to acknowledge the following organizations for their support in collecting and analyzing the data:
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Université Officielle de Bukavu, Faculté de Sciences, Democratic Republic of Congo (DRC)
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GroundTruth Initiative, Nairobi, Kenya
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Catholic University of Mozambique, Faculty of Tourism, Pemba, Mozambique
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Digital Divide Data, Kenya
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Mbonglou, G., John, R. (2022). Data and Dashboards for Measuring the Social Impact of COVID-19 in African Cities. In: Laituri, M., Richardson, R.B., Kim, J. (eds) The Geographies of COVID-19. Global Perspectives on Health Geography. Springer, Cham. https://doi.org/10.1007/978-3-031-11775-6_11
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