New Surgo Analysis Finds Black Americans Social Distance More on Average than White Americans

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Despite being less likely to cope with or recover from an outbreak, people living in U.S. counties that are more vulnerable to COVID-19 tend to social distance less than those living in less vulnerable counties, according to a new analysis of Americans’ social distancing behavior by Surgo Foundation. The organization found one notable exception: Black Americans were more likely to engage in social distancing behavior than their white counterparts.

The analysis also found that Americans’ social distancing peaked on April 12— four days before President Trump announced his Opening Up America Again guidelines. After this peak, and despite continued growth in the total number of new COVID cases, the foundation found significant declines in social distancing nationally.  Their analysis also found that shifts in social distancing began prior to specific guidance or policy enactments--suggesting that people may relax their social distancing behavior in anticipation of policy changes. 

For its analysis, Surgo Foundation used mobile phone data from Unacast, overlaid with data from Surgo’s own COVID Community Vulnerability Index, to study Americans’ social distancing behavior both before, and after, three major COVID-related events: the World Health Organization’s declaration of a global pandemic (March 11), President Trump’s announcement of his Opening Up America Again guidelines (April 16), and a week in which several states reopened (week of April 27).  Separately, the organization also compared social distancing across population groups based on race and employment sector.

“While we found that Black Americans engage in social distancing more than White Americans, social distancing alone is not enough to address the real issue: deep inequality that leaves many Black people fundamentally more vulnerable to COVID-19,” said Dr. Sema Sgaier, executive director of Surgo Foundation. “We need precise, targeted  interventions based on data, rather than one-size fits all approaches that fail to acknowledge the specific needs of those communities that will bear the biggest burden of this pandemic.”

National Average Social Distancing by Race

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In terms of employment sector, the analysis found three groups of social distancers.  Employees in sectors requiring less customer-facing interaction, such as information and professional services, social distanced the most--while employees in sectors such as manufacturing, retail, and food services social distanced less. But the employees in sectors that social distanced the very least were those in agricultural and mining.

Employment Sectors by Social Distancing:

Most social distancing:

  • Arts Entertainment and Recreation

  • Educational Services

  • Finance and Insurance

  • Information

  • Management of Companies and Enterprises

  • Professional Scientific and Technical Services

  • Real Estate and Rental and Leasing

Middle level of social distancing:

  • Accommodation and Food Services

  • Administrative and Support and Waste Management and Remediation Services

  • Construction

  • Health Care and Social Assistance

  • Manufacturing

  • Other Services (except Public Administration)

  • Retail Trade

  • Transportation and Warehousing

  • Utilities

  • Wholesale Trade

Lowest social distancing:

  • Agriculture Forestry Fishing and Hunting

  • Mining Quarrying and Oil and Gas Extraction 

Access the full paper here.

Methodology

This analysis was conducted using Unacast’s social distancing data from February 24th - May 10th, 2020 to study how social distancing changed before and after: 1) The World Health Organization’s declaration of a global pandemic, 2) White House announcement of “Opening Up America Again” (OUAA) guidelines, and 3) the week of April 27 when several states reopened. To measure intention to social distance, Surgo Foundation assessed the difference between weekday and weekend behavior as most individuals have more control over weekend leisure time. To investigate social distancing’s sensitivity to different population characteristics, the foundation compared social distancing time-series data across county vulnerability as measured by Surgo Foundation’s COVID-19 Community Vulnerability Index (CCVI) which defines vulnerability across socioeconomic, household composition, minority status, epidemiological, and healthcare-system related factors. The foundation also compared social distancing across population groupings by race, 2016 presidential election voting choice, and employment sectors using US Census Bureau’s 2018 American Community Survey data, MIT Election Data and Science Labdata, and US Bureau of Labor Statistics’ Quarterly Census of Employment and Wages  data, respectively. 

Media Contact: Bethany Hardy at Surgo Foundation at bethanyhardy@surgofoundation.org or (202) 277-3848.

Surgo Makes “The Case for Causal AI” in Stanford Social Innovation Review

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As the world increasingly turns to artificial intelligence (AI) to help solve pressing health and development challenges, Surgo Foundation wants to make sure that people working on these issues study, and scale up on, the use of causal AI—a key area of specialty and investment for the organization.

Causal AI can help identify the precise relationships of cause and effect—the root causes of why people do what they do. Much of AI in common use is predictive—dedicated to predicting a particular outcome, or how people are going to behave. But predicting an outcome or a behavior is not the same as understanding what actually causes it. And if we do not know the root causes of behavior, we can easily make poor decisions and support ineffective and prejudicial policies.

Read Surgo's "The Case for Causal AI" in the Summer 2020 edition of Stanford Social Innovation Review.

How Surgo is pivoting our data-driven behavior research to take on COVID-19

 
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At Surgo, we integrate behavioral science and artificial intelligence to create precise solutions to social and health problems. When the world suddenly confronted a deadly pandemic, we decided to dedicate all our energy to COVID-19.

Countering this crisis requires all of us to change our behavior. We are working to understand which internal and external factors are influencing people’s actions, from healthcare workers to individual citizens. With such knowledge, we can empower policy makers and health leaders to issue more effective communications, informed decisions, and precise interventions. Here are some of the projects we are now working on:

  • How to effectively persuade people to practice social distancing? People choose to act or not act for different reasons. We are partnering with Aysha Keisler and IPSOS to survey Americans to understand what is driving their behavior and what messages and interventions would be most persuasive to which segments of the population.

  • How are healthcare providers feeling? We are tracking Tweets in real-time to keep a pulse on their struggles and pain points.

  • Which Americans are most vulnerable? We are taking the CDC’s social vulnerability index and using Google analytics to go beyond the factors we know by overlaying what people are feeling, believing, and doing.

Our aim is to provide precise data to help fight this outbreak, and we will have more to share in the coming weeks. We welcome your feedback and ideas for collaboration.