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Activity Space Maps

Activity Space Maps measure where people who live near a particular geographic area tend to spend their time. This provides important information on a population’s environmental exposure to different risks. These maps help researchers understand potential disease burden by calculating the probability of people coming into contact with environmental reservoirs or vectors that carry disease.
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Activity Space Maps example: The data plotted in the two maps were collected for people living in Rome, Italy during the 28-day period ending on June 15th, 2021. The map on the left shows the daytime spent distribution and the map on the right shows the nighttime spent distribution for all people living in Rome near the red dot. The other colors denote the logarithm of the relative probability of spending time (both day or night) in other areas in Italy.
Activity Space Maps example: The data plotted in the two maps were collected for people living in Rome, Italy during the 28-day period ending on June 15th, 2021. The map on the left shows the daytime spent distribution and the map on the right shows the nighttime spent distribution for all people living in Rome near the red dot. The other colors denote the logarithm of the relative probability of spending time (both day or night) in other areas in Italy.
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ABOUT THE DATASET

Overview

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Key Features

Seasonality
Activity Space Maps enhance epidemiological models by incorporating seasonal human movement and travel patterns, providing researchers with a more comprehensive understanding of environmental exposure to evaluate risks to human health.
Daytime and Nighttime Coverage
These maps include aggregate daytime and nighttime movement trajectories, representing a probability distribution that describes the average amount of time people spend in other locations.
Global Representation
Activity Space Maps include most countries in the world, allowing public health researchers and other modelers to understand variation in disease transmission caused by human movement in different geographies using the same methodology.
activity-space-map nighttime distribution
activity-space-map parasite rate estimates
activity-space-map local residual fraction
Activity Space Maps are created by aggregating information from groups of people who choose to share their location information with Facebook over a period of several weeks. The map gives a broad estimate of where people who live near a neighborhood tend to spend their time during both day and night, which can help public health researchers, urban planners, and policymakers estimate the rate at which they are exposed to environmental factors such as mosquitoes in malaria-endemic settings and other parasites that spread disease.

Methodology

Step 1: Identify home area
We analyze data for Facebook users who have opted to provide us Location Services data and estimate a home area based on their typical location.
Step 2: Aggregate location data
We aggregate the GPS data of all users who live near the same area over three weeks of time.
Step 3: Separate Day and Night
We disaggregate the total time spent away of all users from the home neighborhood into both daytime and nighttime as different mosquitoes tend to bite humans at different times of the day.
Step 4: Capture Long Term trends
The activity space data is updated every three weeks, allowing researchers to see changes in where people tend to spend their time during different times of year with different weather conditions.
RESOURCES

Using Activity Space Maps

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RESOURCES

01.

Methodology paper