scholarly journals Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 280
Author(s):  
Uzoma Rita Alo ◽  
Friday Onwe Nkwo ◽  
Henry Friday Nweke ◽  
Ifeanyi Isaiah Achi ◽  
Henry Anayo Okemiri
Keyword(s):  
Mobile Applications ◽  
Public Health Intervention ◽  
Contact Tracing ◽  
Research Directions ◽  
Social Distancing ◽  
Open Research ◽  
The World ◽  
High Inflation ◽  
Dreaded Disease ◽  
Technological Methods

The COVID-19 Pandemic has punched a devastating blow on the majority of the world’s population. Millions of people have been infected while hundreds of thousands have died of the disease throwing many families into mourning and other psychological torments. It has also crippled the economy of many countries of the world leading to job losses, high inflation, and dwindling Gross Domestic Product (GDP). The duo of social distancing and contact tracing are the major technological-based non-pharmaceutical public health intervention strategies adopted for combating the dreaded disease. These technologies have been deployed by different countries around the world to achieve effective and efficient means of maintaining appropriate distance and tracking the transmission pattern of the diseases or identifying those at high risk of infecting others. This paper aims to synthesize the research efforts on contact tracing and social distancing to minimize the spread of COVID-19. The paper critically and comprehensively reviews contact tracing technologies, protocols, and mobile applications (apps) that were recently developed and deployed against the coronavirus disease. Furthermore, the paper discusses social distancing technologies, appropriate methods to maintain distances, regulations, isolation/quarantine, and interaction strategies. In addition, the paper highlights different security/privacy vulnerabilities identified in contact tracing and social distancing technologies and solutions against these vulnerabilities. We also x-rayed the strengths and weaknesses of the various technologies concerning their application in contact tracing and social distancing. Finally, the paper proposed insightful recommendations and open research directions in contact tracing and social distancing that could assist researchers, developers, and governments in implementing new technological methods to combat the menace of COVID-19.

scholarly journals A Review of Contact Tracing Approaches for Controlling COVID-19 Pandemic

2021 ◽  
pp. 31-38
Author(s):  
Md. Tanvir Rahman ◽  
Taslima Ferdaus Shuva ◽  
Risala Tasin Khan ◽  
Mostofa Kamal Nasir
Keyword(s):  
System Architecture ◽  
Data Privacy ◽  
Contact Tracing ◽  
Research Directions ◽  
Attribute Data ◽  
Work From Home ◽  
The World ◽  
History Of ◽  
Novel Coronavirus ◽  
Close Contacts

The year 2020 will always be in the history of mankind due to the deadly outbreak of COVID-19. Many people are already infected around the world due to the spreading of this novel coronavirus. The virus mainly replicates through close contacts, so there are no other alternatives than to keep social distance, use proper safety gear, and maintain self-quarantine. As a result, the growth of the virus has changed the lifestyle of every individual to a great extent. It is also compelling the Governments to dictate strict lock-downs of the highly affected areas, impose work-from-home approaches where applicable, enforce strict social distancing standards, and so on. Some of the countries are also using smartphone-based applications for contact tracing to track the possibly infected individuals. However, there is a lot of discussion around the world about these contact tracing applications and also about their architecture, attribute, data privacy, and so on. In this paper, we have provided a comprehensive review of these contact tracing approaches in terms of their system architecture, key attributes, and data privacy. We have also outlined a list of potential research directions that can improvise the tracing performance while maintaining the privacy of the user to a great extent.

scholarly journals A path out of COVID-19 quarantine: an analysis of policy scenarios

2020 ◽  
Author(s):  
Lia Humphrey ◽  
Edward W. Thommes ◽  
Roie Fields ◽  
Naseem Hakim ◽  
Ayman Chit ◽  
...  
Keyword(s):  
Latent Infection ◽  
Average Rate ◽  
The United States ◽  
Contact Tracing ◽  
Brute Force ◽  
Social Distancing ◽  
Testing Rate ◽  
Universal Testing ◽  
The World ◽  
Brute Force Approach

In this work we present an analysis of the two major strategies currently implemented around the world in the fight against COVID-19: Social distancing & shelter-in-place measures to protect the susceptible, and testing & contact-tracing to identify, isolate and treat the infected. The majority of countries have principally relied on the former; we consider the examples of Italy, Canada and the United States. By fitting a disease transmission model to daily case report data, we infer that in each of the three countries, the current level of national shutdown is equivalent to about half the population being under quarantine. We demonstrate that in the absence of other measures, scaling back social distancing in such a way as to prevent a second wave will take prohibitively long. In contrast, South Korea, a country that has managed to control and suppress its outbreak principally through mass testing and contact tracing, and has only instated a partial shutdown. For all four countries, we estimate the level of testing which would be required to allow a complete exit from shutdown and a full lifting of social distancing measures, without a resurgence of COVID-19. We find that a “brute-force” approach of untargeted universal testing requires an average testing rate of once every 36 to 48 hours for every individual, depending on the country. If testing is combined with contact tracing, and/or if tests are able to identify latent infection, then an average rate of once every 4 to 5 days is sufficient.Significance StatementWe demonstrate how current quarantine measures can be lifted after the current pandemic wave by large-scale, frequent-testing and contact tracing on the remaining susceptible populations. We present an analysis of the two major strategies currently implemented around the world against COVID-19: Social distancing & shelter-in-place measures to protect the susceptible, and testing & contact-tracing to identify, isolate and treat the infected. We find that a “brute-force” approach of untargeted universal testing requires an average testing rate of once every 36 to 48 hours for every individual, depending on the country. If testing is combined with contact tracing, and/or if tests are able to identify latent infection, then an average rate of once every 4 to 5 days is sufficient.

scholarly journals An overview of basics for developing a reopening roadmap amid COVID-19 pandemic, a suggestion for the world

2020 ◽  
Author(s):  
Mehrdad Askarian ◽  
Gary Groot ◽  
Ehsan Taherifard ◽  
Erfan Taherifard ◽  
Hossein Akbarialiabad ◽  
...  
Keyword(s):  
High Risk ◽  
Health System ◽  
Risk Groups ◽  
System Capacity ◽  
Contact Tracing ◽  
Social Distancing ◽  
Epidemiological Monitoring ◽  
Preventive Actions ◽  
The World ◽  
Previous Phase

Abstract The necessity of easing pandemic restrictions is apparent, and due to the harsh consequences of lockdowns, governments are willing to find a rational pathway to reopen their activities. To find out the basics of developing a reopening roadmap, we reviewed 16 roadmaps. The most notable findings are as following: Protecting the high-risk groups, increasing testing and contact tracing capacity, making decisions scientifically, and making the decisions to impose the lowest risks to the economy were the most principles mentioned in the roadmaps. Social distancing, using a face-covering mask, and washing hands were the necessary preventive actions that were recommended for individuals. Health key metrics pointed out in the roadmaps were categorized into four subsets; sufficient preventive capacities, appropriate diagnosis capacity, appropriate epidemiological monitoring capacity, and sufficient health system capacity to be resilient in facing the surges and next phases of the pandemic. All roadmaps describe their in-phases strategy in three major steps, with a minimum of two weeks considered for each phase. Based on the health key metrics, most of the roadmaps noted when progressing to the next phases, while some of them did not focus on the criteria of returning to the previous phase; which may alter the dynamicity of a roadmap.

scholarly journals Quantifying the Effects of Social Distancing on the Spread of COVID-19

2020 ◽  
Author(s):  
Talal Daghriri ◽  
Ozlem Ozmen
Keyword(s):  
The United States ◽  
Contact Tracing ◽  
World Population ◽  
Human Society ◽  
Infection Rates ◽  
Agent Based ◽  
Social Distancing ◽  
Modeling Studies ◽  
The Social ◽  
The World

AbstractThis paper studies the interplay between the social distancing and the spread of COVID-19 disease—a widely spread pandemic that has affected nearly most of the world population. Starting in China, the virus has reached the United States of America with devastating consequences. Other countries severely affected by the pandemic are Brazil, Russia, United Kingdom, Spain, India, Italy, and France. Even though it is not possible to eliminate the spread of the virus from the world or any other country, it might be possible to reduce its effect by decreasing the number of infected people. Implementing such policies needs a good understanding of the system’s dynamics, generally not possible with mathematical linear equations or Monte Carlo methods because human society is a complex adaptive system with complex and continuous feedback loops. As a result, we use agent-based methods to conduct our study. Moreover, recent agent-based modeling studies for the COVID-19 pandemic show significant promise assisting decision-makers in managing the crisis through applying some policies such as social distancing, disease testing, contact tracing, home isolation, providing good emergency and hospitalization strategies, and preventing traveling would lead to reducing the infection rates. Based on imperial college modeling studies that prove increasing levels of interventions could slow down the spread of disease and infection cases as much as possible, and taking into account that social distancing policy is considered to be the most important factor that was recommended to follow. Our proposed model is designed to test if increasing the social distancing policies strictness can slow down the spread of disease significantly or not, and find out what is the required safe level of social distancing. So, the model was run six times, with six different percentages of social distancing with keeping the other parameters levels fixed for all experiments. The results of our study show that social distancing affects the spread of COVID19 significantly, where the spread of disease and infection rates decrease once social distancing procedures are implemented at higher levels. Also, the behavior space tool was used to run ten experiments with different levels of social distancing, which supported the previous results. We concluded that applying and increasing social distancing policy levels led to significantly reduced infection rates, which result in decreasing deaths. Both types of experiments prove that infection rates are reduced dramatically when the level of social distancing intervention is implemented between 80% to 100%.

scholarly journals Covid-19 pandemic Analysis using Regression

2020 ◽  
Author(s):  
P Raji ◽  
GR Deeba Lakshmi
Keyword(s):  
Machine Learning ◽  
Regression Analysis ◽  
Machine Learning Techniques ◽  
Contact Tracing ◽  
Social Distancing ◽  
Learning Techniques ◽  
The World

AbstractCovid-19 is a pandemic which has affected all parts of the world. Covid-19 is a pandemic which can be controlled only by maintaining social distancing, proper hygiene, wearing mask, hand sanitation and to a extend by wearing face shield. Even though each state has followed their own ways of controlling the infection, awareness among citizens and behaving as responsible citizens is very important in controlling this disease. Contact tracing plays an important role in controlling this pandemic. This paper deals with the effect of Covid-19 in various states of India and also forecasts its effect using machine learning techniques. Regression analysis like Linear and polynomial have been used for analysis of Covid-19, where Kaggle dataset has been used. This helps in understanding the much-affected states in India and helps to understand the infrastructure requirements to handle this pandemic efficiently.

IMPACT OF NATIONAL DISASTER COVID-19, INDONESIA TOWARDS ECONOMIC RECESSION

2020 ◽  
Author(s):  
endang naryono
Keyword(s):  
Developing Countries ◽  
Economic Recession ◽  
Developed Countries ◽  
Social Distancing ◽  
Poor Countries ◽  
Corona Virus ◽  
The World ◽  
History Of ◽  
National Disaster

Covid-19 or the corona virus is a virus that has become a disaster and a global humanitarian disaster began in December 2019 in Wuhan province in China, April 2020 the spread of the corona virus has spread throughout the world making the greatest humanitarian disaster in the history of human civilization after the war world II, Already tens of thousands of people have died, millions of people have been infected with the conona virus from poor countries, developing countries to developed countries overwhelmed by this virus outbreak. Increasingly, the spread follows a series of measurements while patients who recover recover from a series of counts so that this epidemic becomes a very frightening disaster plus there is no drug or vaccine for this corona virus yet found, so that all countries implement strategies to reduce this spread from social distancing, phycal distancing to with a city or country lockdown.

The chronicle of COVID-19: possible strategies to curb the pandemic

2020 ◽  
Vol 27 ◽  
Author(s):  
Rajesh Kumar ◽  
Seetha Harilal ◽  
Abdullah G. Al-Sehemi ◽  
Githa Elizabeth Mathew ◽  
Simone Carradori ◽  
...  
Keyword(s):  
Life Cycle ◽  
Research And Development ◽  
Vaccine Development ◽  
Therapeutic Strategies ◽  
Antiviral Drugs ◽  
Limited Data ◽  
Social Distancing ◽  
The World ◽  
Novel Virus ◽  
Day By Day

: COVID-19, an epidemic that emerged in Wuhan, has become a pandemic affecting worldwide and is in a rapidly evolving condition. Day by day, the confirmed cases and deaths are increasing many folds. SARS-CoV-2 is a novel virus; therefore, limited data are available to curb the disease. Epidemiological approaches, isolation, quarantine, social distancing, lockdown, and curfew are being employed to halt the spread of the disease. Individual and joint efforts all over the world are producing a wealth of data and information which are expected to produce therapeutic strategies against COVID-19. Current research focuses on the utilization of antiviral drugs, repurposing strategies, vaccine development as well as basic to advanced research about the organism and the infection. The review focuses on the life cycle, targets, and possible therapeutic strategies, which can lead to further research and development of COVID-19 therapy.

Are social networking platforms the key to effective social distancing for COVID-19? (Preprint)

2020 ◽  
Author(s):  
Viknesh Sounderajah ◽  
Hutan Ashrafian ◽  
Sheraz Markar ◽  
Ara Darzi
Keyword(s):  
Operating System ◽  
Social Networking ◽  
Contact Tracing ◽  
Text Data ◽  
Social Distancing ◽  
Web Mapping ◽  
Viral Spread ◽  
Behavioural Insights ◽  
Mapping Software ◽  
Incidence And Mortality

UNSTRUCTURED If health systems are to effectively employ social distancing measures to in response to further COVID-19 peaks, they must adopt new behavioural metrics that can supplement traditional downstream measures, such as incidence and mortality. Access to mobile digital innovations may dynamically quantify compliance to social distancing (e.g. web mapping software) as well as establish personalised real-time contact tracing of viral spread (e.g. mobile operating system infrastructure through Google-Apple partnership). In particular, text data from social networking platforms can be mined for unique behavioural insights, such as symptom tracking and perception monitoring. Platforms, such as Twitter, have shown significant promise in tracking communicable pandemics. As such, it is critical that social networking companies collaborate with each other in order to (1) enrich the data that is available for analysis, (2) promote the creation of open access datasets for researchers and (3) cultivate relationships with governments in order to affect positive change.

scholarly journals Uncovering two phases of early intercontinental COVID-19 transmission dynamics

2020 ◽  
Vol 27 (8) ◽  
Author(s):  
Jing Yang ◽  
Juan Li ◽  
Shengjie Lai ◽  
Corrine W Ruktanonchai ◽  
Weijia Xing ◽  
...  
Keyword(s):  
Phylogenetic Analyses ◽  
International Travel ◽  
Contact Tracing ◽  
Genetic Sequencing ◽  
Response Strategies ◽  
The World ◽  
Containment Measures ◽  
The Usa ◽  
Community Transmission ◽  
Two Phases

Abstract Background The COVID-19 pandemic has posed an ongoing global crisis, but how the virus spread across the world remains poorly understood. This is of vital importance for informing current and future pandemic response strategies. Methods We performed two independent analyses, travel network-based epidemiological modelling and Bayesian phylogeographic inference, to investigate the intercontinental spread of COVID-19. Results Both approaches revealed two distinct phases of COVID-19 spread by the end of March 2020. In the first phase, COVID-19 largely circulated in China during mid-to-late January 2020 and was interrupted by containment measures in China. In the second and predominant phase extending from late February to mid-March, unrestricted movements between countries outside of China facilitated intercontinental spread, with Europe as a major source. Phylogenetic analyses also revealed that the dominant strains circulating in the USA were introduced from Europe. However, stringent restrictions on international travel across the world since late March have substantially reduced intercontinental transmission. Conclusions Our analyses highlight that heterogeneities in international travel have shaped the spatiotemporal characteristics of the pandemic. Unrestricted travel caused a large number of COVID-19 exportations from Europe to other continents between late February and mid-March, which facilitated the COVID-19 pandemic. Targeted restrictions on international travel from countries with widespread community transmission, together with improved capacity in testing, genetic sequencing and contact tracing, can inform timely strategies for mitigating and containing ongoing and future waves of COVID-19 pandemic.

scholarly journals COVID-19 Pandemic Response Simulation in a Large City: Impact of Nonpharmaceutical Interventions on Reopening Society

2021 ◽  
pp. 0272989X2110030
Author(s):  
Serin Lee ◽  
Zelda B. Zabinsky ◽  
Judith N. Wasserheit ◽  
Stephen M. Kofsky ◽  
Shan Liu
Keyword(s):  
Large City ◽  
Face Mask ◽  
School Closure ◽  
Contact Tracing ◽  
The Novel ◽  
Agent Based ◽  
Social Distancing ◽  
Variable Compliance ◽  
Novel Coronavirus ◽  
Nonpharmaceutical Interventions

As the novel coronavirus (COVID-19) pandemic continues to expand, policymakers are striving to balance the combinations of nonpharmaceutical interventions (NPIs) to keep people safe and minimize social disruptions. We developed and calibrated an agent-based simulation to model COVID-19 outbreaks in the greater Seattle area. The model simulated NPIs, including social distancing, face mask use, school closure, testing, and contact tracing with variable compliance and effectiveness to identify optimal NPI combinations that can control the spread of the virus in a large urban area. Results highlight the importance of at least 75% face mask use to relax social distancing and school closure measures while keeping infections low. It is important to relax NPIs cautiously during vaccine rollout in 2021.

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