Introduction

This chapter is contextual in nature. It provides an overview of the impact of COVID-19, highlighting both the significant number of deaths caused by the pandemic as well as the economic disruption that occurred. Particular attention is paid to the role of digital technologies during the pandemic, which enabled a wide range of activities (e.g. work, education and shopping) to go online. The disruptive impact of COVID-19 is widespread and far-reaching, with the pandemic acting as a 'change agent' expanding and encouraging the greater use of digital technologies. The second half of the chapter presents summaries of the other chapters in the book. In doing so, it illustrates the scope and scale of the impact of COVID-19, the multitude of different challenges it has caused, and how these varied across different regions and contexts, as well as the diversity of reactions to the pandemic. Some of these reactions are technical in nature, while others are commercial and political. The summaries also draw attention to ongoing policy debates, the significance of which has been heightened by the pandemic. © 2023 the authors.

2019-20 coronavirus outbreak in Vietnam socio-ecnomic impact and recommendations

As of April 30, Vietnam has a total of 270 confirmed cases of the SARS-CoV-2 virus and no death, numbers that are significantly low compared to other neighboring countries. Besides, with no new cases reported in the past few days, and 222 cases have recovered. So far, Vietnam, which borders with China, where the COVID-19 originated, has done an excellent job in fighting the outbreak with limited resources compared to wealthy Western countries. In order to prevent further spread, Vietnamese authorities have enforced social distancing, many restaurants and businesses have shuttered, tourists have left, and many residents are out of work. As a result, the Vietnam economy and residents have been primarily affected. In this paper, the author will review how the Vietnamese Government combat the COVID-19 pandemic successfully, manage socio-economic impact as well as support poor people and workers. Lastly, the author will provide recommendations to Vietnam's Government to reduce the impact of coronavirus in tourist field. © 2023 Author(s).

Experiences and Implications of the First Wave of the COVID-19 Emergency in Italy: A Social Science Perspective

Background: Italy was among the first countries in the world to experience the devastating consequences of the COVID-19 emergency and suffered its consequences to a devastating scale. Understanding how the country got there in spite of a relatively well-resourced public and private health system in at least part of the country, is imperative to be able to operationalise any lessons learnt for future epidemics in Italy and beyond. Methods: The paper reports the findings from a research scoping exercise conducted in Italy in 2020. We conducted extensive archival research and collected 29 testimonies either in writing or as semi-structured interviews. We sampled purposively with a stratification strategy in mind, specifically aiming to gain testimonies from different social groups, classes, ages, and nature of employment. Our sample also reflects the different experiences between the Northern and Southern regions, a divide that has long been economically and politically salient in the country. Results: Evidence and considerations of epidemiological nature normally guide public health responses to crises. This study supports the idea that socio-economic, cultural and political factors also affect transmission outcomes. We highlight specifically the role that socio-economic and health inequalities play in this respect, through factors such as overcrowded dwellings, lack of alternatives to in-person work, informal work set-ups, pervasive organised crime presence, poorly planned social support and communication strategies. Conclusion: A socio-economic and political lens is needed in addition to an epidemiological one to fully understand the social experiences and implications of public health crises such as the COVID-19 pandemic and to devise effective response measures that are locally relevant and acceptable. Thus insights provided by multi-disciplinary task forces can render policy-making and social support interventions as well as communication strategies more effective. © 2023 The Author(s);Published by Kerman University of Medical Sciences.

Socio-Economic Disparities Caused by Pandemic in Cross-Border Areas of Slovakia

This article focuses on the cross border rural areas located in the suburban zone of big agglomerations in border regions of Hungary and Slovakia. Special attention is devoted to demographic processes and phenomena related to these facts. Besides generally acceptable statistical data represents other data collected via field research in communities representing suburban survey. It focuses on socio-economic effects of suburbanisation, analyses its impact on society of suburban inhabitants in Slovakia. There is a comparison between cross-border survey about the suburbanized rural life standards before and after 2020 to predict current trends influenced by pandemic Added value is the results of measuring gap in economic and demographic development in the cross-border regions mainly between Hungary and Slovakia during COVID-19 pandemic

Covid-19 Pandemic: Global Scenario, Socialdeterminants and Its Socio-Economic Impact

Background: The COVID-19 pandemic has resulted in about 75.2M cases and 1.67M deaths worldwide, as on 18th December 2020 data live updates of World Health Organizations. In response to this pandemic, this study analyzes the global issue of rising and falling of COVID-19 cases and changing scenario of economies. Method(s): The data has been extracted from January 2020 to December 2020 from some of the reliable sources of the World like WHO Coronavirus disease (COVID-19) dashboard, Worldometer, and Centers for Disease Control and Prevention (CDC). It also represents the global scenario of the COVID-19 pandemic and its social determinants around the world. Result(s): There has been spatial heterogeneity in the number of cases and the number of deaths among regions worldwide. There is a great impact on the countries economy, both on the supply and demand side. It shows that several factors affect the determinants of health at various levels like income, healthcaresystem, education, etc also play a major role in it. Conclusion(s): The increasing cases worldwide have adversely affected the economy and have led to a scarcity of resources which further caused the collapse of the economy and trade.Copyright © 2020 Ubiquity Press. All rights reserved.

Assessment of the socio-economic and health impact of COVID-19 in the NGO intervention areas of Gujarat.

Background and Aim: By this time, the world has already witnessed catastrophic effects of the pandemic on economic and healthcare services infrastructure, from India the scientific publications documenting this effect are quite sparse. The current report aims to compile the socio-economic, demographic and healthcare services transactions among the population in the non-governmental organization (NGO) supported areas of Gujarat state. Methods: The data were collected by human research of the NGO from Sanand, Mundra and Ahmedabad sites at three different time intervals - pre-lockdown, during lockdown and post-lockdown. Results: The findings of the study reported a clear increase in availing of healthcare services in all three study sites covered under the programmes of the NGO. It was clearly evident that the impact of lockdown on the livelihood of the population in all three sites was devastating with a significant proportion of individuals losing their jobs. However, the majority of the people were able to rejoin the jobs (though with lower average income) in all three sites. During the lockdown, people heavily relied on stored food sources such as grains and pulses and consumption of fresh vegetables and fruits reduced significantly. Lockdown has severely hampered essential maternal and child care services which were remarkably improved in the months of post-lockdown. A considerable number of the family had to mortgage their assets during the lockdown. The mortgage proportion varied widely (3-58%) among all the study sites. Conclusion: It was observed that in the unprecedented time, the national lockdown was a challenging time, where there was a drastic shift in the livelihood profile of the population due to significant loss of jobs. Lockdown has also severely affected the essential healthcare services coverage; however, with efforts from the government and the NGO, it was restored to a near pre-lockdown situation in all three sites.

Modeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic.

Background: The spread of COVID-19 has been characterized by unprecedented global lock-downs. Although, the extent of containment policies cannot be explained only through epidemic data. Previous studies already focused on the relationship between the economy and healthcare, focusing on the impact of diseases in countries with a precarious economic situation. However, the pandemic caused by SARS-CoV-2 drew most countries of the world into a precarious economic situation mostly caused by the global and local lock-downs policies. Methods: A discriminant analysis performed via partial least squares procedure was applied to evaluate the impact of economic and healthcare variables on the containment measures adopted by 39 countries. To collect the input variables (macroeconomic, healthcare, and medical services), we relied on official databases of international organizations, such as The World Bank and WHO. Results: The stringency lock-down policies could not only be influenced by the epidemical data, but also by previous features of the selected countries, such as economic and healthcare conditions. Conclusions: Indeed, economic and healthcare variables also contributed to shaping the implemented lock-down policies.

COVID-19 Pandemic: Assessment of Current Strategies and Socio-economic Impact

The coronavirus disease is a respiratory tract disorder which causes pneumonia-like symptoms in severe patients and mild flu-like symptoms in mild symptomatic cases first noticed in Wuhan, China. DNA sequencing and further analysis shows it to be 79% like the 2002 SARS-CoV and 50% like the 2012 MERS-CoV. It was also observed that the novel coronavirus’s spike protein was larger and very different from its previously known strains. For diagnosis, multiple strategies were developed and real time reverse-transcriptase-polymerase chain reaction (RT-PCR) technique was determined to be the best technique. The CT scan was also found effective majorly for the continuous assessment of the disease. Treatment strategies used in previous outbreaks were looked into and put to trial like convalescent plasma therapy. Vaccine development using various genetic engineering strategies are going on across the world. To contain the spread of the disease, countries with positive cases were put under lockdown to break the chain of spread. These lockdowns forced industries, offices, schools, religious places, stadiums, travel, and many more to close which impacted the economies of all the major countries. Lesser human interaction and more use of social media has impacted the social aspects of human life. Cases of domestic violence and mental stress increased among households. Economic stimulus package was announced by various countries to curb the socio-economic impact of the COVID-19 pandemic. © 2022 SAGE Publications.

Climate change and COVID-19: Interdisciplinary perspectives from two global crises.

The repercussions of the COVID-19 pandemic and climate change - two major current global crises - are far-reaching, the parallels between the two are striking, and their influence on one another are significant. Based on the wealth of evidence that has emerged from the scientific literature during the first two years of the pandemic, this study argues that these two global crises require holistic multisectoral mitigation strategies. Despite being different in nature, neither crisis can be effectively mitigated without considering their interdependencies. Herein, significant interactions between these two crises are highlighted and discussed. Major implications related to the economy, energy, technology, environment, food systems and agriculture sector, health systems, policy, management, and communities are detailed via a review of existing joint literature. Based on these outcomes, practical recommendations for future research and management are provided. While the joint timing of these crises has created a global conundrum, the COVID-19 pandemic has demonstrated opportunities and lessons for devising sustainable recovery plans in relation to the climate crisis. The findings indicated that governments should work collaboratively to develop durable and adjustable strategies in line with long-term, global decarbonisation targets, promote renewable energy resources, integrate climate change into environmental policies, prioritise climate-smart agriculture and local food systems, and ensure public and ecosystem health. Further, differences in geographic distributions of climate change and COVID-19 related death cases revealed that these crises pose different threats to different parts of the world. These learnings provide insights to address the climate emergency - and potential future global problems with similar characteristics - if international countries act urgently and collectively.

Socio-Economic Implications of COVID-19 Pandemic in South Asia: Emerging Risks and Growing Challenges.

The dramatic spread of COVID-19 has threatened human lives, disrupted livelihoods, and affected trade, economy and businesses across the globe. The global economy has begun to show major disruptions and is heading toward a severe recession with an unprecedented economic crisis. As the global economy is highly integrated and interdependent through the global supply chains, it has been profoundly affected by the COVID-19 pandemic. Although all countries have faced difficulties due to Covid-19, South Asian countries in particular have had to deal with a more challenging situation due to their large population, weak health facilities, high poverty rates, low socio-economic conditions, poor social protection systems, limited access to water and sanitation, and inadequate living space, necessary to maintain physical distancing and take other required measures to contain this pandemic. To contain the spread of the virus, South Asian countries have imposed stringent lockdowns, which have consequently affected the lives and livelihoods of millions of people in the region, where a third of world's poor live. Against this backdrop, this paper examines the existing and prospective impacts, risks and challenges of Covid-19 on key social and economic sectors including migration, tourism, informal sector, agriculture and rural livelihoods. The analysis revealed that COVID-19 is likely to affect economic growth, increase fiscal deficit and monetary burden, increase the risks of macroeconomic instability, decrease migration and remittance, reduce income from travel and tourism, and result in dwindling micro-small and medium industries and informal businesses. This is likely to deepen poverty and increase unemployment and the risks of hunger and food insecurity. If not addressed properly, this may reinforce existing inequalities, break social harmony, and increase tension and turbulence. The economic and social costs of the COVID-19 outbreak are therefore likely to be significant and long-lasting in South Asia.

The Covid-19 pandemic in low- and middle-income countries, who carries the burden? Review of mass media and publications from six countries.

During the Covid-19 pandemic, rich countries employed lockdown and physical distancing policies for transmission control. However, the question still remains whether these measures are also suitable in countries with a fragile economy, which rests mainly on the informal sector. The impacts of lockdown measures in disadvantaged population strata in six low- and middle-income countries (LMICs) were reviewed using i) 93 media reports and ii) 17 published scientific papers. This review showed that those who suffered the most from the lockdown were migrants, workers in the large informal sector, small businesses, slum dwellers, women and elderly, revealing the social, cultural and economic inequalities of societies. Financial and food support for the poor was inadequate and sometimes mismanaged. In the better organized societies, the resilience was stronger (South Korea, Kerala/India) but here also the poor had to suffer the most. It is strongly recommended that outbreak response strategies should particularly focus on the poor and vulnerable population.

Covid-19 vs. Ebola: Impact on households and small businesses in North Kivu, Democratic Republic of Congo.

In April 2020, the Eastern Democratic Republic of Congo was facing two major infectious disease outbreaks: Covid-19 and Ebola Virus Disease (EVD). We highlight large differences in the socioeconomic impact of these two outbreaks. The data come from a phone survey that we conducted in the period May-July 2020 with 637 households and 363 small firms from a megacity and two rural communes in the province of North Kivu. While 3,470 EVD cases and 2,287 EVD deaths were confirmed since August 2018, self-reported impacts of EVD on revenues, access to food and behavior were limited. In contrast, only 251 Covid-19 cases were reported as of July 22nd but respondents reported sizable effects on livelihoods, especially in the large urban hub, and in part driven by substantial job losses. Our results show that different infectious disease outbreaks can have very different effects, largely unrelated to case numbers of the disease. Moderately lethal but highly transmissible viruses such as Covid-19 can trigger a steep economic downturn, especially in areas with high economic interconnectedness, reflecting both national and international policies to contain the pandemic.

Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty.

The COVID-19 pandemic has caused a massive economic shock across the world due to business interruptions and shutdowns from social-distancing measures. To evaluate the socio-economic impact of COVID-19 on individuals, a micro-economic model is developed to estimate the direct impact of distancing on household income, savings, consumption, and poverty. The model assumes two periods: a crisis period during which some individuals experience a drop in income and can use their savings to maintain consumption; and a recovery period, when households save to replenish their depleted savings to pre-crisis level. The San Francisco Bay Area is used as a case study, and the impacts of a lockdown are quantified, accounting for the effects of unemployment insurance (UI) and the CARES Act federal stimulus. Assuming a shelter-in-place period of three months, the poverty rate would temporarily increase from 17.1% to 25.9% in the Bay Area in the absence of social protection, and the lowest income earners would suffer the most in relative terms. If fully implemented, the combination of UI and CARES could keep the increase in poverty close to zero, and reduce the average recovery time, for individuals who suffer an income loss, from 11.8 to 6.7 months. However, the severity of the economic impact is spatially heterogeneous, and certain communities are more affected than the average and could take more than a year to recover. Overall, this model is a first step in quantifying the household-level impacts of COVID-19 at a regional scale. This study can be extended to explore the impact of indirect macroeconomic effects, the role of uncertainty in households' decision-making and the potential effect of simultaneous exogenous shocks (e.g., natural disasters).