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Using mobile phone data for epidemic response in low resource settings—A case study of COVID-19 in Malawi
by
Monawe, Maganizo
, Ndira, Simon
, Selman, Noah
, Green, Dylan
, Moszczynski, Michael
, Foutry, Guillaume
, Smith, Tyler
, Asbah, Samer
, Likaka, Andrew
, Klyn, Brandon
, Morgan, Cassie
, Sibande, Rachel
in
Aggregate data
/ Allocation
/ Case studies
/ Cellular telephones
/ Contact tracing
/ Coronaviruses
/ COVID-19
/ Dashboards
/ Disease transmission
/ Election results
/ Emergency procedures
/ Emergency response
/ Epidemics
/ Health facilities
/ Low income groups
/ Malawi
/ mobile network data
/ Mobile phones
/ Mobility
/ Pandemics
/ Policy making
/ Population density
/ Presidential elections
/ Public health
/ Resource allocation
/ Risk allocation
/ Risk communication
/ Short message service
/ Smartphones
/ Telecommunications towers
/ Text messaging
2021
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Using mobile phone data for epidemic response in low resource settings—A case study of COVID-19 in Malawi
by
Monawe, Maganizo
, Ndira, Simon
, Selman, Noah
, Green, Dylan
, Moszczynski, Michael
, Foutry, Guillaume
, Smith, Tyler
, Asbah, Samer
, Likaka, Andrew
, Klyn, Brandon
, Morgan, Cassie
, Sibande, Rachel
in
Aggregate data
/ Allocation
/ Case studies
/ Cellular telephones
/ Contact tracing
/ Coronaviruses
/ COVID-19
/ Dashboards
/ Disease transmission
/ Election results
/ Emergency procedures
/ Emergency response
/ Epidemics
/ Health facilities
/ Low income groups
/ Malawi
/ mobile network data
/ Mobile phones
/ Mobility
/ Pandemics
/ Policy making
/ Population density
/ Presidential elections
/ Public health
/ Resource allocation
/ Risk allocation
/ Risk communication
/ Short message service
/ Smartphones
/ Telecommunications towers
/ Text messaging
2021
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Do you wish to request the book?
Using mobile phone data for epidemic response in low resource settings—A case study of COVID-19 in Malawi
by
Monawe, Maganizo
, Ndira, Simon
, Selman, Noah
, Green, Dylan
, Moszczynski, Michael
, Foutry, Guillaume
, Smith, Tyler
, Asbah, Samer
, Likaka, Andrew
, Klyn, Brandon
, Morgan, Cassie
, Sibande, Rachel
in
Aggregate data
/ Allocation
/ Case studies
/ Cellular telephones
/ Contact tracing
/ Coronaviruses
/ COVID-19
/ Dashboards
/ Disease transmission
/ Election results
/ Emergency procedures
/ Emergency response
/ Epidemics
/ Health facilities
/ Low income groups
/ Malawi
/ mobile network data
/ Mobile phones
/ Mobility
/ Pandemics
/ Policy making
/ Population density
/ Presidential elections
/ Public health
/ Resource allocation
/ Risk allocation
/ Risk communication
/ Short message service
/ Smartphones
/ Telecommunications towers
/ Text messaging
2021
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Using mobile phone data for epidemic response in low resource settings—A case study of COVID-19 in Malawi
Journal Article
Using mobile phone data for epidemic response in low resource settings—A case study of COVID-19 in Malawi
2021
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Overview
The COVID-19 global pandemic has had considerable health impact, including sub-Saharan Africa. In Malawi, a resource-limited setting in Africa, gaining access to data to inform the COVID-19 response is challenging. Information on adherence to physical distancing guidelines and reducing contacts are nonexistent, but critical to understanding and communicating risk, as well as allocating scarce resources. We present a case study which leverages aggregated call detail records into a daily data pipeline which summarize population density and mobility in an easy-to-use dashboard for public health officials and emergency operations. From March to April 2021, we have aggregated 6-billion calls and text messages and continue to process 12 million more daily. These data are summarized into reports which describe, quantify, and locate mass gatherings and travel between subdistricts. These reports are accessible via web dashboards for policymakers within the Ministry of Health and Emergency Operations Center to inform COVID-19 response efforts and resource allocation.
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