Over the past two years, dozens of organizations used Facebook's Data for Good products to improve wellbeing and save lives. Their most profound applications include disaster preparedness projects, vaccination campaigns, and effective deployment of services during times of natural disaster.
Risk Perception, Preventive Behavior, and Medical Care Avoidance among American Older Adults During the COVID-19 Pandemic
This study investigated the predictors of risk perception and its effect on older adults’ preventive behavior and/or medical care avoidance during the COVID-19 pandemic. The study found that significant predictors of higher risk perception were female gender, older age, poorer health, city residency, personally knowing someone who had COVID-19, and correct knowledge of vaccine/treatment. Higher risk perception was subsequently associated with higher frequency/probability of practicing preventive behavior and/or avoiding medical care. Knowledge had the strongest path coefficient with risk perception. Ultimately, disseminating correct information to older adults could help them evaluate infection risk accurately and educational programs on the precautions implemented at clinical settings to ensure patient safety may encourage older adults to seek timely medical care.
Topline Report on COVID-19 Vaccination in the United States
This report presents data collected from January 10 to February 27, 2021 from more than 1.9 million Americans. We highlight below national- and state-level trends on self-reported vaccinations (hereafter “uptake”) and vaccine-related attitudes by key population groups to inform potential ways to combat vaccine hesitancy in the United States.
Quantifying the dynamics of migration after Hurricane Maria in Puerto Rico
Understanding the population composition and distribution of a region affected by a major natural disaster is vital for the allocation of resources to communities in need and critical to inform mortality estimates. The utilization of social media traces, coupled with mobile phone data, could provide live estimates of post-disaster population changes in disaster-affected areas.
As Covid-19 Cases Rise Again Across the United States, Where Should We Be Most Concerned?
According to the latest model published by Facebook’s AI Research team, or FAIR, the country as a whole is likely to see as many as 1 million new infections between Oct. 26 and Nov. 8. Comparison with actual changes in case counts in specific areas since Oct. 26 indicates that this forecast is likely to be largely accurate overall, even potentially conservative, although with variations in accuracy in different local areas.
Many Displaced from Hurricane Laura Are Now in Path of Hurricane Delta
Hurricane Delta is set to make landfall as a Category 2 storm on the coast of Louisiana and western Mississippi on Friday, Oct. 9. This would be a serious situation under any circumstance, but for those still displaced from the last major storm in this area, Hurricane Laura, which made landfall on Aug. 26, the impact is likely to be doubly hard. According to the best available estimates roughly 8,000 homes were damaged during the impact of Hurricane Laura, and many people have yet to return.
The 2019-2020 Australian Bushfires: From Temporary Evacuation to Longer-term Displacement
Bushfires that raged across Australia triggered around 65,000 new displacements between July 2019 - February 2020. They also destroyed more than 3,100 homes, potentially leading to longer-term displacement for thousands of people. This report presents the first comprehensive figures and analysis of the patterns of displacement associated with the 2019 - 2020 bushfire season.