A new Boston University School of Public Health study of the first four months of America’s coronavirus epidemic, published in the journal Nature Human Behaviour, shows that physical distancing (also called “social distancing”) policies had little effect on lower income people still needing to leave their homes to go to work – but does show them staying home when they could.
“If lower-income people were simply ignoring the trend towards physical distancing, we would have expected them to continue going to places like supermarkets, liquor stores, and parks at the same rates as before.
Instead, their visits dropped at almost the same rates as the very highest-income group,” says study lead author Dr. Jonathan Jay, assistant professor of community health sciences at BUSPH.
“This indicates that lower income people were just as aware and motivated as higher-income people to protect themselves from COVID-19, but simply couldn’t stay home as much because they needed to go to work,” he says.
Jay and colleagues used anonymized mobility data from smartphones in over 210,000 neighborhoods (census block groups) across the country, each neighborhood categorized by average income.
They were able to see whether people from these neighborhoods stayed home, left home and appeared to be at work – staying at another location for at least three hours during typical working hours, or making multiple stops that looked like delivery work.
The researchers also tracked movement to “points of interest”: beer, wine and liquor stores; carryout restaurants; convenience stores; hospitals; parks and playgrounds; places of worship; and supermarkets.
“The difference in physical distancing between low- and high-income neighborhoods during the lockdown was just staggering,” says study co-author Dr. Jacob Bor, assistant professor of global health and epidemiology at BUSPH.
“While people in high-income neighborhoods retreated to home offices, people in low-income neighborhoods had to continue to go to work – and their friends, family, and neighbors had to do the same,” he says. “Living in a low-income neighborhood is likely a key risk factor for COVID-19 infection.”
To analyze the role that policies played in these mobility patterns, the researcher used the COVID-19 U.S. State Policy Database (CUSP), a project led by study co-author Dr. Julia Raifman, assistant professor of health law, policy & management at BUSPH.
They found that the huge drop in mobility early in March had little to do with state policy, following similar patterns in different states regardless of when their orders went into effect. When state policies did go into effect, they modestly decreased mobility further – but did nothing to close the gap between low- and high-income neighborhoods.
“The orders did not have the effect of making it easier for lower-income people to stay home,” Jay says.
But they did stay home to the degree possible, visiting non-work non-home locations less – which counters a major narrative about how different groups of people have responded to COVID, Jay says. “Early in the pandemic, there was a lot of talk about ‘non-compliance,’ and it was rarely directed at the people with the most power and privilege,” he says.
“We found strong evidence of compliance among the people who are most economically marginalized, which because of structural racism disproportionately includes people of color. As the pandemic has played out, the evidence of poor safety practices at the very highest levels of power has become more clear.
“Still, it’s deeply troubling that throughout the pandemic, staying home has been a choice for some people and not for others.”
The researchers say that closures are an important tool for states and cities to prevent the spread of the coronavirus, but that they need to be accompanied by other policies that make it easier for frontline workers to protect themselves.
“That people living in low-income households are more likely to face exposure to COVID-19 at work increases the importance of complementary policies, such as mask requirements in indoor spaces, that protect essential workers from COVID-19,” Raifman says.
“One of the most important arguments for mask mandates is that they protect the folks who are in public spaces not because they want to be, but because showing up is how they make ends meet,” Jay says.
He also points to “policies that make it easier to work from home, stay home sick, and not to take a risky new job just to put food on the table.”
However, Jay says, policies that make it easier to stay home only help if people have homes. As a wave of evictions and foreclosures sweeps the country, he says extending moratoriums and enacting other housing policies continue to be an important part of the picture.
China reported a novel coronavirus in Wuhan, Hubei Province, on December 31, 2019 (Gralinski and Menachery 2020). Wuhan is an urban town located in the central part of China. It is a significant transportation and business hub. Suspected and confirmed cases began to appear in various parts of the state.
China shared the novel coronavirus pneumonia gene sequence in January 12, 2020. As of January 22, 2020, 571 cases of COVID-19 had been reported in 25 provinces (including districts and cities) in China (Lu 2020). The patients showed typical respiratory symptoms (such as fever, coughing, shortness of breath, and inflammatory lung infiltration) and other symptoms such as fatigue, myalgia, and diarrhea (Huang et al. 2020).
Some cases were atypical or showed asymptomatic symptoms in this epidemic. On February 11, 2020, the World Health Organization (WHO) named this pneumonia Coronavirus Disease-2019 (COVID-19). As of April 13, 2020, novel coronavirus pneumonia cases were confirmed in 200 countries and regions worldwide.
The case fatality rate (CFR) of COVID-19 was 2.3% (44/1023), much lower than that of SARS (10%) and MERS (36%) (de Wit et al. 2016; Wu and McGoogan 2020). Suspected COVID-19 patients (with symptoms) could be diagnosed by chest CT and polymerase chain reaction (PCR) kit.
However, there were no specific effective antiviral drugs for treatment, and the vaccine was still in the experimental stage (Zumla et al. 2016).
Strategies to combat the epidemic situation
Humans have a very old but extremely effective way to respond to sudden outbreaks of infectious diseases—isolation. The core of the infectious disease outbreak lies in its infectivity: it can be transmitted directly or indirectly from a person to one or more people (Li 2020).
If a person who has the disease cannot spread it to more than one person, the disease will gradually disappear. Like other viruses such as SARS and MARS, although each infectious disease has its new characteristics, prevention and control involve three factors: the pathogen, transmission route and susceptible population.
There are three core elements of isolation: find and manage the source of infection; cut off the transmission channels; protect vulnerable groups (Mikulska 2019).
In China, the state took decisive measures to implement medical isolation for patients and close contacts, block traffic, cancel public activities and require people to wear masks and frequently wash their hands. Strong control measures were implemented in cities such as Wuhan, where the source of infection was concentrated, while other provinces and cities also conducted careful screening and isolation of the exported cases. Interestingly, after this strategy was identified, the provinces and areas responded positively and quickly.
The residential areas also formulated relevant travel systems, using social software to control the travel of each resident, and the flow of people between different areas was also strictly controlled.
For example, one person from every family could go out every 2 days to purchase necessities; in public places, the distance between people in line needed to be > 2 m; express delivery and takeout also allowed contactless delivery. Research showed that social distancing measures were most effective when large-scale return to work took place in early April.
This reduced the median number of infections by 92% (IQD 66–97) and 24% (IQD 13–90) in mid-2020 and by the end of 2020, respectively (Prem et al. 2020). This time, compared with the SARS outbreak in 2003, the situation was more complicated, including the time of the outbreak in the geographical location of Wuhan because of movement related to the Spring Festival, but highly effective control of the spread of the pandemic was shown in China.
Social distancing involved keeping a distance of 1.5 m between people, which can prevent the spread of most respiratory infectious diseases. Social distancing is one of the most effective measures to reduce the spread of the virus, which is transmitted by air droplets. The droplets produced by coughing, sneezing or forced speaking have a certain transmission distance.
By keeping this distance, we can reduce the spread of the virus. Wearing masks, washing hands frequently and disinfecting with alcohol also help to prevent the virus from spreading from one person to another. To control the disease, the World Health Organization recommended that countries should strengthen case detection, track and monitor contacts, practice isolation from close contacts and isolate cases as well as implement traffic control and suspend large gatherings.
A novel coronavirus pneumonia prediction model was established by using the big data of the University of Washington Health Index and Evaluation Center (IHME) (IHME 2020). Analysis of the epidemic situation in seven locked down cities in Wuhan, Italy and Spain showed that maintaining social distancing really achieved results.
Because these cities implemented lockdowns, the epidemic quickly reached a peak, so far not climbing again. Erin Mordecai, a biologist at Stanford University, and a team of researchers developed an interactive simulator to simulate the spread of COVID-19 over time, demonstrating the role of social isolation and social distancing in epidemic control (Erin 2020).
Notably, the government quickly adopted the correct strategy, e.g., social distancing, thus controlling the rate of the increase of cases and winning more time for doctors. If this had not been the case, it would have been impossible for medical staff from another provinces to go to Wuhan for support, and Wuhan appeared to be the only outbreak city.
In terms of cost, social distancing also saves medical resources, such as masks, hand sanitizers, alcohol-based disinfectant, etc. This gives our healthcare professionals, hospitals and other institutions more valuable time to prepare, prevent the disease and help people who have been diagnosed with coronavirus.
There were 50,633 confirmed cases in Hubei on February 18, 2020, because of a peak after the closure of the city. Then, the number of cases began to decline. As of April 13, the number of confirmed cases in Hubei Province was 244.
However, there are objections to social distancing. Thomas Abel reported that social distancing might lead to depression and anxiety in some people (Abel and McQueen 2020) and that social distancing measures are not appropriate in this situation because they will cause more panic and anxiety among people, which will also have an impact on social stability.
Of course, this crisis has psychological impacts on patients, health care workers and the population. However, we should routinely provide psychological support instead of stopping social distancing measures (Kim and Su 2020).
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More information: Jonathan Jay et al. Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States, Nature Human Behaviour (2020). DOI: 10.1038/s41562-020-00998-2