scholarly journals Social distancing responses to COVID-19 emergency declarations strongly differentiated by income

2020 ◽  
Vol 117 (33) ◽  
pp. 19658-19660 ◽  
Author(s):  
Joakim A. Weill ◽  
Matthieu Stigler ◽  
Olivier Deschenes ◽  
Michael R. Springborn
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Mobile Device ◽  
General Pattern ◽  
State Level ◽  
Data Sources ◽  
Health Conditions ◽  
Lower Income ◽  
Double Burden ◽  
Social Distancing ◽  
Device Location

In the absence of a vaccine, social distancing measures are one of the primary tools to reduce the transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, which causes coronavirus disease 2019 (COVID-19). We show that social distancing following US state-level emergency declarations substantially varies by income. Using mobility measures derived from mobile device location pings, we find that wealthier areas decreased mobility significantly more than poorer areas, and this general pattern holds across income quantiles, data sources, and mobility measures. Using an event study design focusing on behavior subsequent to state emergency orders, we document a reversal in the ordering of social distancing by income: Wealthy areas went from most mobile before the pandemic to least mobile, while, for multiple measures, the poorest areas went from least mobile to most. Previous research has shown that lower income communities have higher levels of preexisting health conditions and lower access to healthcare. Combining this with our core finding—that lower income communities exhibit less social distancing—suggests a double burden of the COVID-19 pandemic with stark distributional implications.

scholarly journals AN INTERACTIVE COVID-19 MOBILITY IMPACT AND SOCIAL DISTANCING ANALYSIS PLATFORM

2020 ◽  
Author(s):  
Lei Zhang ◽  
Sepehr Ghader ◽  
Michael L. Pack ◽  
Chenfeng Xiong ◽  
Aref Darzi ◽  
...  
Keyword(s):  
Mobile Device ◽  
Research Team ◽  
Impact Analysis ◽  
Population Data ◽  
Public Officials ◽  
Process Data ◽  
Social Distancing ◽  
Location Data ◽  
Analysis Platform ◽  
Device Location

ABSTRACTThe research team has utilized privacy-protected mobile device location data, integrated with COVID-19 case data and census population data, to produce a COVID-19 impact analysis platform that can inform users about the effects of COVID-19 spread and government orders on mobility and social distancing. The platform is being updated daily, to continuously inform decision-makers about the impacts of COVID-19 on their communities using an interactive analytical tool. The research team has processed anonymized mobile device location data to identify trips and produced a set of variables including social distancing index, percentage of people staying at home, visits to work and non-work locations, out-of-town trips, and trip distance. The results are aggregated to county and state levels to protect privacy and scaled to the entire population of each county and state. The research team are making their data and findings, which are updated daily and go back to January 1, 2020, for benchmarking, available to the public in order to help public officials make informed decisions. This paper presents a summary of the platform and describes the methodology used to process data and produce the platform metrics.

scholarly journals Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform

2021 ◽  
pp. 036119812110438
Author(s):  
Lei Zhang ◽  
Aref Darzi ◽  
Sepehr Ghader ◽  
Michael L. Pack ◽  
Chenfeng Xiong ◽  
...  
Keyword(s):  
Mobile Device ◽  
Research Team ◽  
Impact Analysis ◽  
Population Data ◽  
Public Officials ◽  
Process Data ◽  
Social Distancing ◽  
Location Data ◽  
Analysis Platform ◽  
Device Location

The research team has utilized privacy-protected mobile device location data, integrated with COVID-19 case data and census population data, to produce a COVID-19 impact analysis platform that can inform users about the effects of COVID-19 spread and government orders on mobility and social distancing. The platform is being updated daily, to continuously inform decision-makers about the impacts of COVID-19 on their communities, using an interactive analytical tool. The research team has processed anonymized mobile device location data to identify trips and produced a set of variables, including social distancing index, percentage of people staying at home, visits to work and non-work locations, out-of-town trips, and trip distance. The results are aggregated to county and state levels to protect privacy, and scaled to the entire population of each county and state. The research team is making their data and findings, which are updated daily and go back to January 1, 2020, for benchmarking, available to the public to help public officials make informed decisions. This paper presents a summary of the platform and describes the methodology used to process data and produce the platform metrics.

Updated picture of SARS-CoV-2 variants and mutations

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Giuseppe Lippi ◽  
Camilla Mattiuzzi ◽  
Brandon M. Henry
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Preventive Measures ◽  
Definitive Treatment ◽  
Social Distancing ◽  
Viral Spread ◽  
Limited Efficacy ◽  
Highly Virulent ◽  
New Mutations

Abstract The worldwide burden of coronavirus disease 2019 (COVID-19) is still unremittingly prosecuting, with nearly 300 million infections and over 5.3 million deaths recorded so far since the origin of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic at the end of the year 2019. The fight against this new highly virulent beta coronavirus appears one of the most strenuous and long challenges that humanity has ever faced, since a definitive treatment has not been identified so far. The adoption of potentially useful physical preventive measures such as lockdowns, social distancing and face masking seems only partially effective for mitigating viral spread, though efficacy and continuation of such measures on the long term is questionable, due to many social and economic reasons. Many COVID-19 vaccines have been developed and are now widely used, though their effectiveness is challenged by several aspects such as low uptake and limited efficacy in some specific populations, as well as by continuous emergence of new mutations in the SARS-CoV-2 genome, accompanying the origin and spread of new variants, which in turn may contribute to further decrease the effectiveness of current vaccines and treatments. This article is hence aimed to provide an updated picture of SARS-CoV-2 variants and mutations that have emerged from November 2019 to present time (i.e., early December 2021).

scholarly journals Delaying the COVID-19 epidemic in Australia: Evaluating the effectiveness of international travel bans

2020 ◽  
Author(s):  
Adeshina I. Adekunle ◽  
Michael Meehan ◽  
Dianna Rojas ◽  
James Trauer ◽  
Emma McBryde
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
International Travel ◽  
Control Measures ◽  
Social Distancing ◽  
Novel Virus

AbstractFollowing the outbreak of novel Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) or COVID-19 in Wuhan, China late 2019, different countries have put in place interventions such as travel ban, proper hygiene, and social distancing to slow the spread of this novel virus. We evaluated the effects of travel bans in the Australia context and projected the epidemic until May 2020. Our modelling results closely align with observed cases in Australia indicating the need for maintaining or improving on the control measures to slow down the virus.

scholarly journals Unmasking Inequality: STEM Course Experience During the COVID-19 Pandemic

2020 ◽  
Author(s):  
Barbara Means ◽  
Julie Neisler
Keyword(s):  
General Pattern ◽  
Lower Income ◽  
Internet Connectivity ◽  
Course Content ◽  
Class Meetings ◽  
Course Experience ◽  
Stem Students ◽  
Race Ethnicity ◽  
Better Than

This report describes the experiences of over 600 undergraduates who were taking STEM courses with in-person class meetings that had to shift to remote instruction in spring 2020 because of COVID-19. Internet connectivity issues were serious enough to interfere with students’ ability to attend or participate in their STEM course at least occasionally for 46% of students, with 15% of students experiencing such problems often or very often. A large majority of survey respondents reported some difficulty with staying motivated to work on their STEM courses after they moved online, with 45% characterizing motivation as a major problem. A majority of STEM students also reported having problems knowing where to get help with the course content after it went online, finding a quiet place to work on the course, and fitting the course in with other family or home responsibilities. Overall, students who reported experiencing a greater number of major challenges with continuing their course after it went online expressed lower levels of satisfaction with their course after COVID-19. An exception to this general pattern, though, was found for students from minoritized race/ethnicity groups, females, and lower-income students. Despite experiencing more challenges than other students did with respect to continuing their STEM courses remotely, these students were more likely to rate the quality of their experiences when their STEM course was online as just as good as, or even better than, when the course was meeting in person.

scholarly journals Unlocking the Predictive Power of Heterogeneous Data to Build an Operational Dengue Forecasting System

2020 ◽  
Author(s):  
Carrie Manore ◽  
Geoffrey Fairchild ◽  
Amanda Ziemann ◽  
Nidhi Parikh ◽  
Katherine Kempfert ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Data Streams ◽  
Cumulative Risk ◽  
State Level ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Global Dynamics ◽  
Flexible System ◽  
Clinical Surveillance ◽  
Spatio Temporal

ABSTRACTPredicting an infectious disease can help reduce its impact by advising public health interventions and personal preventive measures. While availability of heterogeneous data streams and sensors such as satellite imagery and the Internet have increased the opportunity to indirectly measure, understand, and predict global dynamics, the data may be prohibitively large and/or require intensive data management while also requiring subject matter experts to properly exploit the data sources (e.g., deriving features from fundamentally different data sets). Few efforts have quantitatively assessed the predictive benefit of novel data streams in comparison to more traditional data sources, especially at fine spatio-temporal resolutions. We have combined multiple traditional and non-traditional data streams (satellite imagery, Internet, weather, census, and clinical surveillance data) and assessed their combined ability to predict dengue in Brazil’s 27 states on a weekly and yearly basis over seven years. For each state, we nowcast dengue based on several time series models, which vary in complexity and inclusion of exogenous data. We also predict yearly cumulative risk by municipality and state. The top-performing model and utility of predictive data varies by state, implying that forecasting and nowcasting efforts in the future may be made more robust by and benefit from the use of multiple data streams and models. One size does not fit all, particularly when considering state-level predictions as opposed to the whole country. Our first-of-its-kind high resolution flexible system for predicting dengue incidence with heterogeneous (and still sometimes sparse) data can be extended to multiple applications and regions.

EDUKASI MASYARAKAT MELALUI AKTIVITAS RELAWAN NON MEDIS DALAM MEMUTUS RANTAI PENYEBARAN COVID-19 DI LINGKUNGAN CAKRANEGARA UTARA

2020 ◽  
Vol 2 (1) ◽  
pp. 150
Author(s):  
Maruni Wiwin Diarti ◽  
Yunan Jiwintarum ◽  
Awan Dramawan
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Social Distancing

Coronavirus Disease 2019 (Covid-19) adalah penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). WHO sudah menetapkan Covid-19 sebagai pandemi. Virus Covid-19 umumnya ditransmisikan melalui kontak fisik erat dan percikan (droplet) dari saluran pernapasan, sedangkan transmisi melalui udara (airborne) dapat terjadi saat melakukan prosedur medis yang menghasilkan aerosol.  Cakranegara Utara merupakan salah satu kelurahan di Kota Mataram yang sampai dengan bulan Agustus 2020 masih ditetapkan sebagai Zona merah.  Peran masyarakat diakui cukup penting untuk menekan kasus Covid-19 yang terus bertambah.  Relawan non medis merupakan kelompok mahasiswa yang peduli terhadap Covid-19.  Pendekatan edukasi masyarakat melalui aktivitas relawan non medis dalam kegiatan pengabdian masyarakat ini diharapkan dapat mencegah penyebaran Covid 19 di lingkungan Cakranegara Utara. Metode yang digunakan dalam Edukasi Masyarakat melalui aktivitas relawan non medis dalam memutus rantai penularan Covid-19 melalui ceramah, metode diskusi dan metode demonstrasi. Untuk mengetahui keberhasilan edukasi pada masyarakat melalui aktivitas relawan non medis ini dilakukan pretest dan posttest pada masyarakat. Hasil menunjukkan terjadi peningkatan pengetahuan masyarakat mengenai cara cuci tangan yang benar (WHO), Covid-19 dan pencegahannya dan Edukasi masyarakat melalui aktivitas relawan non medis dapat meningkatkan pengetahuan masyarakat tentang tentang cara mencuci tangan dengan benar (WHO), Covid-19 dan cara pencegahannya, social distancing dan manfaat pengunaan masker untuk memutus rantai penularan Covid-19.

scholarly journals Social Distancing to Mitigate COVID-19 Risks Is Associated With COVID-19 Discriminatory Attitudes Among People Living with HIV

2020 ◽  
Vol 54 (10) ◽  
pp. 728-737
Author(s):  
Marcie Berman ◽  
Lisa A Eaton ◽  
Ryan J Watson ◽  
J L Andrepont ◽  
Seth Kalichman
Keyword(s):  
Social Sciences ◽  
Public Health ◽  
Severe Acute Respiratory Syndrome ◽  
Ongoing Study ◽  
People Living With Hiv ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Immune Systems ◽  
Social Distancing ◽  
Living With Hiv

Abstract Background Severe acute respiratory syndrome coronavirus-2, the virus that causes COVID-19, is an emerging pandemic with heightened concerns for people with compromised immune systems, including people living with HIV. Purpose In the absence of a vaccine, public health messaging to mitigate risks for COVID-19 primarily focuses on social distancing. Because people living with HIV commonly experience mistreatment associated with HIV, their response to social distancing may be complicated by psychosocial attitudes associated with COVID-19. Methods To evaluate these relationships, we conducted a rapid-response, cross-sectional survey with people living with HIV (N = 149) to assess social distancing practices, COVID-19 discriminatory attitudes, COVID-19 xenophobic attitudes, HIV microaggressions, and concern over contracting COVID-19. Data were collected from participants enrolled in a larger ongoing study between March 30, 2020 and April 17, 2020. Results Results indicated that choosing to socially distance to reduce COVID-19 exposure was associated with COVID-19 discriminatory attitudes, concerns of contracting COVID-19, and identifying as transgender. Likewise, social distancing imposed by others (e.g., cancelations and restrictions) was associated with concerns of contracting COVID-19. Conclusions Findings demonstrate that social distancing measures are related to concerns of contracting the virus and discriminatory attitudes toward those who are presumed to be living with COVID-19. These potentially negative psychosocial attitudes toward people perceived to have COVID-19 echo the discriminatory actions and attitudes that we continue to observe in HIV social sciences research.

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