Effects of the COVID-19 Pandemic on the Air Quality of the Metropolitan Region of São Paulo: Analysis Based on Satellite Data, Monitoring Stations and Records of Annual Average Daily Traffic Volumes on the Main Access Roads to the City

This paper presents an analysis of the effects of the COVID-19 pandemic on the air quality of the Metropolitan Region of São Paulo (MRSP). The effects of social distancing are still recent in the society; however, it was possible to observe patterns of environmental changes in places that had adhered transportation measures to combat the spread of the coronavirus. Thus, from the analysis of the traffic volumes made on some of the main access highways to the MRSP, as well as the monitoring of the levels of fine particulate matter (PM2.5), carbon monoxide (CO) and nitrogen dioxide (NO2), directly linked to atmospheric emissions from motor vehicles–which make up about 95% of air polluting agents in the region in different locations–we showed relationships between the improvement in air quality and the decrease in vehicles that access the MRSP. To improve the data analysis, therefore, the isolation index parameter was evaluated to provide daily information on the percentage of citizens in each municipality of the state that was effectively practicing social distancing. The intersection of these groups of data determined that the COVID-19 pandemic reduced the volume of vehicles on the highways by up to 50% of what it was in 2019, with the subsequent recovery of the traffic volume, even surpassing the values from the baseline year. Thus, the isolation index showed a decline of up to 20% between its implementation in March 2020 and December 2020. These data and the way they varied during 2020 allowed to observe an improvement of up to 50% in analyzed periods of the pollutants PM2.5, CO and NO2 in the MRSP. The main contribution of this study, alongside the synergistic use of data from different sources, was to perform traffic flow analysis separately for light and heavy duty vehicles (LDVs and HDVs). The relationships between traffic volume patterns and COVID-19 pollution were analyzed based on time series.

Examining the Impact of COVID-19 on Loneliness and Social Isolation Among Affordable Housing Residents

Loneliness and social isolation are serious public health concerns associated with higher risks of clinical depression, suicidal ideation, coronary artery disease, stroke, functional decline, an increased risk of developing dementia and cancer mortality. Recent reports indicate the prevalence and dangers of loneliness and social isolation have increased as a result of the COVID-19 pandemic, especially among older populations. In order to address these concerns among residents living at Northgate II (NGII), a 302-unit affordable housing development in Camden, NJ, Fair Share Support Services, Inc. (FSSS), the non-profit arm of Fair Share Housing Development, collaborated with the New Jersey Institute for Successful Aging (NJISA) and the DHHS-funded Geriatric Workforce Enhancement Program (GWEP) to develop a loneliness/social isolation survey using two evidenced-based tools, the UCLA Loneliness Scale and the Steptoe Social Isolation Index. FSSS piloted the loneliness and social isolation survey with 192 low-income minority older adults residing at NGII. Results indicate that 49% of the NGII residents surveyed fall into 5 "at-risk" categories: 1) lonely and isolated (9%), 2) lonely/somewhat isolated (8%), 3 ) lonely/not isolated (9%), 4) isolated/somewhat lonely (9%), and 5) isolated/not lonely (14%). FSSS, will utilize survey results and follow-up interviews to tailor social service/other interventions to meet the needs and preferences of residents with the goal of preventing serious health problems associated with loneliness and social isolation, allowing residents to age in place.

Corporate Fight against the COVID-19 Risks Based on Technologies of Industry 4.0 as a New Direction of Social Responsibility

The purpose of the article: to find new (most effective) directions for the corporate COVID-19 risks management and developing management implications for leading this fight amid the pandemic and crisis for sustainable development. The methods of correlation and regression analysis are used. It is proved that the most perspective method of the corporate fight against the COVID-19 risks is a flexible transformation of business according to the new conditions based on the Industry 4.0 technologies. This paper further develops and supplements the concept of corporate social responsibility, including a new direction—corporate fight against the COVID-19 risks in it. The authors develop management implications on improving the corporate fight against the COVID-19 risks as a new direction of corporate social responsibility amid the pandemic. The advantages of using the Industry 4.0 technologies for the corporate fight against the viral threat include reduction of the share of the population with household expenditures for healthcare above 25% of total expenditures or incomes, reduction of the number of new cases per 1 million people, and an increase of the self-isolation index, the share of responsible employers amid COVID-19 risks.

Using Population Mobility Data to Measure Black-White Residential Segregation in the COVID-19 Pandemic

Racial and ethnic residential segregation has long been the central focus of stratification and inequality research, and it is a linchpin of racial stratification in the U.S. Sociologists and demographers have developed a series of spatial or aspatial measures to capture distinct aspects of segregation. Although the recent development of segregation measures, for instance, spatial exposure, accounts for spatial proximity among different groups, it is static and ignores the social connectedness dimension. This article uses population mobility across communities to correct the potential bias in spatial segregation measures. As population mobility is highly racially segregated, we modify the conventional spatial isolation index by adding an extra layer of social connectedness between communities to create a socially and spatially weighted segregation measure. We then use this spatial and social segregation measure to quantify the level of blacks' isolation with whites in the local neighboring communities. Our approach can be extended to other segregation measures and provide a new perspective to assess racial segregation in the U.S.

Effect of partial lockdown due to Covid-19 pandemic on PM10 concentration in Belo Horizonte, Brazil

Despite their proven effectiveness in combating the pandemic of COVID-19, measures of social isolation, quarantines, and lockdowns have drastic consequences in the social and economic spheres. This paper presents results from an ongoing study in Belo Horizonte, Brazil, to evaluate the effect of social isolation on MP10 concentration. The monitoring point was chosen in a wooded area within a university campus. Social isolation was analyzed in terms of vehicle movements recorded by speed cameras, during all phases following the partial lockdown (PL) instituted in the city. The social isolation index (SDI) showed a maximum isolation percentage of 49.5%, reached in the first week of the PL, with a subsequent continuous downward trend. The results showed a 65.2% reduction in PM10 due to the PL, when comparing the mean values monitored before (22.2 ± 3.0 µg m-3) and during (7.7 ± 4.2 µg m-3) the PL. The relationship between vehicle movement and PM10 concentrations in the monitoring region was evidenced and found to be significant (r(XY) = 0.782, p-value = 0.000). Such reduction, observed in such a short term, but due to force majeure, certainly has beneficial effects on the population's health, reinforcing the reflection about the positive impacts that could come with policies that favor the reduction of vehicle movement in the cities.

Change In the Level of Microseismic Noise During the COVID-19 Pandemic in the Russian Far East

With the outbreak of the COVID-19 pandemic, many seismologists all over the world have noted a sharp (up to 30-50%) decrease in the daily background seismic noise during the period from March to May, 2020 [Lecocqetal., 2020]. The authors studied the influence of the self-isolation regime introduced in the Russian Federation from March 30, 2020 [On the declaring ..., 2020] and, as a consequence, the restriction of the work of public institutions and the mobility of the population, on the quality of seismological observations at seismic stations in large cities of the Russian Far East for the period from March 23, 2020 to April 12, 2020. The work analyses the records of seismic noise by the seismic stations of Khabarovsk and Vladivostok located in busy parts of the cities and, accordingly, strongly influenced by anthropogenic impact, as well as it analyses the records of the Yuzhno-Sakhalinsk seismic station located in the relatively «calm» part of the city. Power spectra and temporal variations of microseismic noise levels for the listed above seismic stations were constructed based on the data of broadband seismometers records in the range of 1-20 Hz. The analysis of noise level variations with the data on the population mobility was carried out on the basis of self-isolation index by Yandex, which shows the level of town activity over a selected period. The main sources of the increased microseismic noise at seismic stations were identified.

The impact of legislation on Covid-19 mortality in a Brazilian federative unit was mediated by social isolation.

This study aimed to estimate the effect of restrictive laws on actual social isolation and COVID-19 mortality. Moreover, we evaluated how community adherence, measured with an index of social isolation, would mediate the lockdown effect on COVID-19 mortality. Methods: This ecological study assessed the legislations published until June 30, 2020, in the Brazilian state of Ceara. We performed a systematic review and classification of restrictive norms and estimated their immediate effect on social isolation, measured by an index based on mobile data, and the subsequent impact on COVID-19 mortality (three weeks later). A mediation analysis was performed to estimate the effect of rigid lockdown on mortality that was explained for effective social isolation. Results: The social isolation index showed an increase of 11.9% (95% CI: 2.9% - 21%) during the days in which a rigid isolation norm (lockdown) was implemented. Moreover, this rigid lockdown was associated with a reduction of 26% (95% CI: 21% - 31%) in the three-week-delayed mortality. We also calculated that the rigid lockdown had the indirect effect, i.e., mediated by adherence to social isolation, of reducing COVID-19 mortality by 38.24% (95% CI: 21.64% to 56.07%). Therefore, the preventive effect of this norm was fully explained by the actual population adherence, reflected in the social isolation index. On the other hand, mandatory mask use was associated with 11% reduction in COVID-19 mortality (95% CI: 8% - 13%). Conclusions: We estimated the effect of quarantine regulations on social isolation and evidenced that a rigid lockdown law led to a reduction of COVID-19 mortality in one state of Brazil. In addition, the mandatory masks norm was an additional determinant of the reduction of this outcome.

Indoor Environmental Quality in Dwellings and Lifestyle Behaviors during the COVID-19 Pandemic: Russian Perspective

The novel coronavirus (COVID-19) outbreak is a public health emergency of international concern, and as a response, public health authorities started enforcing preventive measures like self-isolation and social distancing. The enforcement of isolation has consequences that may affect the lifestyle-related behavior of the general population. Quarantine encompasses a range of strategies that can be used to detain, isolate, or conditionally release individuals or populations infected or exposed to contagious diseases and should be tailored to circumstances. Interestingly, medical students may represent an example of how the COVID-19 pandemic can form new habits and change lifestyle behaviors. We conducted a web-based survey to assess changes in lifestyle-related behavior of self-isolated medical students during the COVID-19 pandemic. Then we analyzed the sanitary-hygienic regulations of the Russian Federation to determine the requirements for healthy buildings. Results showed that during the pandemic, the enforcement of isolation affects medical students’ lifestyle-related behavior and accompanies an increase in non-communicable diseases (NCDs). Indoor environmental quality (IEQ) and healthy buildings are cutting-edge factors in preventing COVID-19 and NCDs. The Russian sanitary-hygienic regulations support improving this factor with suitable requirements for ventilation, sewage, waste management, and disinfection. Herein, assessing isolation is possible through the hygienic self-isolation index.

When the earth stood still: air pollution during the Covid-19 quarantine – the case of São Paulo and Rio de Janeiro

In March 2020, the World Health Organization declared a global pandemic due to the new coronavirus (COVID-19). Several countries responded to this threat by introducing quarantine measures to reduce the transmission of COVID-19 in the community. These measures have drastically reduced human activities, causing an impact on urban air pollution due to the associated reduction in automobile use and other polluting activities. We investigated this effect with measurements of Particulate Material (PM10), Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and Ozone (O3), carried out by the environmental departments of the cities of São Paulo and Rio de Janeiro, for two months in 2020. We compared them with data for the corresponding months in 2019, relating to the social isolation index, measured by the Mathematics and Statistic Institute of São Paulo (IME-USP). The results show a significant decrease in NO2 and CO and an increase in O3, and little change in Particulate Material.