ArticleInformation processing & management2022
Socioeconomic impact due to COVID-19: An empirical assessment.
Article in Information processing & management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Insights from the EQUALS4COVID19 study on migrant mental health in Portugal: a cross-sectional mixed-methods approach.BMC public health · 2024Article
- The COVID-19 pandemic and neurology: A survey on previous and continued restrictions for clinical practice, curricular training, and health economics.European journal of neurology · 2024Article
- Recent challenges in biological cyanidation and oxidation of sulfide-based refractory gold ore.World journal of microbiology & biotechnology · 2024Review
- How a low income state of India managed the unemployment situation during COVID-19? Lessons for future pandemic management.Journal of public health research · 2023Article
- Public perceptions of vehicular traffic emissions on health risk in Lagos metropolis Nigeria: A critical survey.Heliyon · 2023Article
- Influence of quarantine during the coronavirus disease 2019 (COVID-19) pandemic on physical and psychosocial aspects: perceptions of 214 Brazilian athletes.Global health journal (Amsterdam, Netherlands) · 2023Article
- Multi-resource collaborative scheduling problem of automated terminal considering the AGV charging effect under COVID-19.Ocean & coastal management · 2023Article
- Years of life lost to COVID-19 in 49 countries: A gender- and life cycle-based analysis of the first two years of the pandemic.PLOS global public health · 2023Article
- Psychological Assessment of Family Caregivers of Patients With COVID-19 in the United States of America and India.Cureus · 2022Article
- Short term safety of coronavirus disease 2019 vaccines in patients with solid tumors receiving systemic therapy.World journal of clinical oncology · 2022Article
- The influence of ideological education on students' mental health during the pandemic: An empirical analysis based on big data and intelligent model.Frontiers in psychology · 2022Article
- A Novel Edge-Based Trust Management System for the Smart City Environment Using Eigenvector Analysis.Journal of healthcare engineering · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Starting from December 2019, the novel COVID-19 threatens human lives and economies across the world. It was a matter of grave concern for the governments of all the countries as the deadly virus started expanding its paws over neighboring regions of infected areas. The spread got uncontrollable, thereby leaving no choice for the nations but to impose and observe nationwide lockdown. The lockdown further sorely hit many sectors, which in turn impacted the economy. Manufacturing, agriculture, and the service sector - the three pillars of the economy - have been adversely affected giving a major slow down to the economy belonging to every nation. Several schemes and policies were introduced by different state and central governments to absorb the impact of subsequent lockdowns on individuals. In this paper, we present a then and now analysis of the economy using a socioeconomic framework focusing on factors- unemployment, industrial production, import-export trade, equity markets, currency exchange rate, and gold and silver prices. For all these, we consider India as a case study because the Indian sub-continent has a wide landscape and rich cultural heritage presenting itself as a potential hub for economic activities. A thorough assessment has been made for the period January 2020- June 2020. The assessment will be beneficial to observe the long-term impact of any infectious disease outbreak such as COVID-19 locally and globally.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.