To learn about what Facebook Data for Good is doing in response to the COVID19 pandemic, click here.

Disease Prevention Maps

Facebook Disease Prevention Maps are designed to help public health organizations close gaps in understanding where people live, how people are moving, and the state of their cellular connectivity, in order to improve the effectiveness of health campaigns and epidemic response. These datasets, when combined with epidemiological information from health systems, assist nonprofits in reaching vulnerable communities more effectively and in better understanding the pathways of disease outbreaks that are spread by human-to-human contact.

This map shows the density of 3G network coverage availability across areas in the Democratic Republic of Congo affected by the most recent ebola outbreak.

The below map shows the distribution of women of reproductive age (ages 18-49) spread across Tanzania, drawn from a combination of census data and satellite imagery.

Features

Privacy-Preserving

All maps that use Facebook data are aggregated, and privacy-preserving measures are applied.

Global Reach

Movement Maps and Network Coverage Maps are derived from Facebook data that is global in nature.

Timeliness

Our Disease Prevention Maps can be generated quickly as the situation on the ground unfolds. This allows agencies to respond to changing circumstances.

One of the most important pieces of information we need to respond to epidemics is where people are moving. This kind of data can be integrated into our epidemiological models to help us estimate how quickly a disease might spread, and where to put resources to contain it.”

Caroline Buckee, Assistant Professor of Epidemiology, Harvard School of Public Health

Who Uses Disease Prevention Maps

Universities and researchers

Researchers and universities can combine information from health systems with aggregated and anonymous Facebook movement data to glean insights about where the next case of cholera or drug-resistant malaria is likely to occur.

Map Types

Case Studies

Location-based data provided by Facebook’s “Disease Prevention Maps” is provided at 8-hourly intervals in map squares as small as 600x600 meters. The data also enables us to measure changes in... Location-based data provided by Facebook’s “Disease Prevention Maps” is provided at 8-hourly intervals in map squares as small as 600x600 meters. The data also enables us to measure changes in the number of tiles visited per day. The idea is as follows: if the number of tiles visited per day decreases, we then take this as a proxy for decreased mobility. In Figure 1 we see two “dips” with the August Danang lockdown causing a greater and sharper decline than the national lockdown in April. For the first time, the pattern in Danang has diverged from that in Ha Noi and Ho Chi Minh City (HCMC); this was not the case in preceding months, where changes in all three cities occurred uniformly.

Read more

Disease Prevention Maps

Confronting COVID-19 second waves: How “big data for good” can inform policy in Vietnam

Location-based data provided by Facebook’s “Disease Prevention Maps” is provided at 8-hourly intervals in map squares as small as 600x600 meters. The data also enables us to measure changes in the number of tiles visited per day. The idea is as follows: if the number of tiles visited per day decreases, we then take this as a proxy for decreased mobility. In Figure 1 we see two “dips” with the August Danang lockdown causing a greater and sharper decline than the national lockdown in April. For the first time, the pattern in Danang has diverged from that in Ha Noi and Ho Chi Minh City (HCMC); this was not the case in preceding months, where changes in all three cities occurred uniformly.

In the News

Get Involved

Check out our high resolution population density maps, including demographic estimates, available for download on the United Nations Office for the Coordination of Humanitarian Affairs (OCHA)’s Humanitarian Data Exchange. Each country-level dataset contains the demographic estimates. If you're interested in working with movement or network coverage maps, please email diseaseprevmaps@fb.com.

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