Socioeconomic impact due to COVID-19: An empirical assessment

Gupta, Vishal; Santosh, K. C.; Arora, Rameshwar; Ciano, Tiziana; Mohan, Senthilkumar

doi:10.1016/j.ipm.2021.102810

Cited by 60 publications

(34 citation statements)

References 16 publications

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“…In fact, in contexts of environmental threath, many countries have showed to have a low preparedness of crisis management, applying strict health policies of containment with the hope to reduce the negative impact of COVID-19 pandemic crisis. Results here suggest that a strategy of strict containment policy is ineffective to cope with COVID-19 impact, based on a mutant viral agent, and generates poor effects of reduction of infections and deaths, and additionally, it damages socioeconomic system (Coccia 2021c(Coccia , 2022dChirumbolo et al 2022;Gupta et al 2022).…”

Section: Explanation Of Resultsmentioning

confidence: 91%

Effects of strict containment policies on COVID-19 pandemic crisis: lessons to cope with next pandemic impacts

Coccia

2022

Environ Sci Pollut Res

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The goal of the study here is to analyze and assess whether strict containment policies to cope with Coronavirus Disease 2019 (COVID-19) pandemic crisis are effective interventions to reduce high numbers of infections and deaths. A homogenous sample of 31 countries is categorized in two sets: countries with high or low strictness of public policy to cope with COVID-19 pandemic crisis. The findings here suggest that countries with a low intensity of strictness have average confirmed cases and fatality rates related to COVID-19 lower than countries with high strictness in containment policies (confirmed cases are 24.69% vs. 26.06% and fatality rates are 74.33% vs. 76.38%, respectively, in countries with low and high strictness of COVID-19 public policies of containment). What this study adds is that high levels of strict restriction policies may not be useful measures of control in containing the spread and negative impact of pandemics similar to COVID-19 and additionally a high strictness in containment policies generates substantial social and economic costs. These findings can be explained with manifold socioeconomic and environmental factors that support transmission dynamics and circulation of COVID-19 pandemic. Hence, high levels of strictness in public policy (and also a high share of administering new vaccines) seem to have low effectiveness to stop pandemics similar to COVID-19 driven by mutant viral agents. These results here suggest that the design of effective health policies for prevention and preparedness of future pandemics should be underpinned in a good governance of countries and adoption of new technology, rather than strict and generalized health polices having ambiguous effects of containment in society.

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Section: Explanation Of Resultsmentioning

confidence: 91%

Effects of strict containment policies on COVID-19 pandemic crisis: lessons to cope with next pandemic impacts

Coccia

2022

Environ Sci Pollut Res

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“…In order to compare the obtained results, the works, SAODV [ 18 ], SLICER-TMU [ 19 ], SAL-SAODV [ 12 ], and DBNIDS [ 13 ] have also been evaluated under the same network conditions. The efficiency has been evaluated based on average throughput, network resilience, and packet delivery ratio (PDR) [ 20 – 22 ]. The throughput can be defined as the number of successful receptions during a stipulated interval.…”

Section: Comparison and Analysis Of Experimental Resultsmentioning

confidence: 99%

A Novel Edge-Based Trust Management System for the Smart City Environment Using Eigenvector Analysis

Nagarajan

Simpson²,

Venkatachalam

et al. 2022

Journal of Healthcare Engineering

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The proposed Edge-based Trust Management System (E-TMS) uses an Eigenvector-based approach for eliminating the security threats present in the Internet of Things (IoT) enabled smart city environment. In most existing trust management systems, the trust aggregation process completely depends on the direct trust ratings obtained from both legitimate and malicious neighboring IoT devices. E-TMS possesses an edge-assisted two-level trust computation approach for ensuring the malicious free trust evaluation of IoT devices. The E-TMS aims at removing the false contribution on aggregated trust data. It utilizes the properties of the Eigenvector for identifying compromised IoT devices. The Eigenvector Analysis also helps to avoid false detection. The analysis involves a comparison of all the contributed trust data about every single connected device. A spectral matrix will be generated corresponding to the contributions and the received trust will be scaled based on the obtained spectral values. The absolute sum of obtained values will contain only true contributions. The accurate identification of false data will remove the effect of malicious contributions from the final trust value of a connected IoT device. Since the final trust value calculated by the edge node contains only the trustworthy data, the prediction about the malicious nodes will be accurate. Eventually, the performance of E-TMS has been validated. Throughput and network resilience are higher than the existing system.

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Section: Literature Review and Research Frameworkmentioning

confidence: 99%

“…The COVID-19 pandemic has affected India's wage rate and unemployment condition adversely (Sinha, 2021). The unemployment rate increased from 6% to 23% between pre-lockdown and during the first wave's lockdown (Gupta et al, 2022). Modak et al (2020) documented the impact of COVID-19 on Indian villages and concluded that the lockdown affected every aspect of the rural economy such as agriculture and allied activities, reduction in employment opportunities, and decline in household incomes and consumption.…”

Section: Literature Review and Research Frameworkmentioning

confidence: 99%

The COVID-19 pandemic: access to relief under social assistance programs by rural households in India

Ali

Khan

2022

IJSE

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PurposeThis paper aims at analyzing the determinants of access to relief under social assistance programs among rural households during COVID-19 outbreaks in India.Design/methodology/approachThe study is based on the data of COVID-19-Related Shocks Survey, which covered 5,200 rural households across 6 states of India namely Andhra Pradesh, Bihar, Jharkhand, Madhya Pradesh Rajasthan, and Uttar Pradesh. The access to relief has been assessed as relief-in kind (RIK) as a free special package of wheat, rice, and pulses, supplied through the public distribution system; and direct benefit transfer (DBT) in cash under the Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) Yojana and the Pradhan Mantri Jan-Dhan Yojana (PMJDY). The association between demographic profiles of rural households and access to relief has been analyzed using the chi-square test. Further, marginal effects have been estimated to assess the determinants of rural households' access to relief.FindingsThe results show a significant association between types of relief vis-à-vis demographic profiles of the rural households. A significant difference in access to relief among rural households is also evident across the states. Further, the analysis of the marginal effects indicates that female-headed households belonging to lower social class, depending on non-agricultural occupation with lower income, belonging to below poverty line families and seeking wage employment, are more likely to access relief as food grains; whereas male respondents with lower age, belonging to lower-income quartile with memberships in Self Help Groups are more likely to access the cash benefit transfers.Practical implicationsThe COVID-19 pandemic has affected the food security and livelihood of many across the globe, which necessitated provisioning a package of support to everyone, particularly rural poor households. The World Bank undertook the COVID-19-Related Shocks Survey to provide a quick policy response for managing the risk of COVID-19 outbreak effectively. The results of this study provide timely insights for developing an effective relief strategy for rural households during a crisis.Originality/valueThere is limited investigation on access to relief by rural households during the COVID-19 outbreaks and factors affecting the access to relief in terms of cash and kind. This study has utilized a reliable data source to analyze the access of relief packages by the rural communities during the coronavirus outbreak.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2021-0632.

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Socioeconomic impact due to COVID-19: An empirical assessment

Cited by 60 publications

References 16 publications

Effects of strict containment policies on COVID-19 pandemic crisis: lessons to cope with next pandemic impacts

Effects of strict containment policies on COVID-19 pandemic crisis: lessons to cope with next pandemic impacts

A Novel Edge-Based Trust Management System for the Smart City Environment Using Eigenvector Analysis

The COVID-19 pandemic: access to relief under social assistance programs by rural households in India

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