Impact of COVID-19 Pandemic on Beach Tourism in India

COVID-19 Pandemic has a profound Impact on the Indian tourism sector, especially on beach tourism. Research shows significant changes in the pattern of the ecological terrain of coastal areas and on the community dependent on tourism business and marine life, due to the imposition of lockdown for several months. The paper discusses the change in behavioral patterns of people during Pre and Post COVID-19 for visiting any beach destination in near future in terms of preferences in accommodation, selection of beaches based on crowd and other factors that will be considered in post pandemic days. This study brings out various key indicators shaping the pattern of beach holidays in the future based on the survey conducted among tourists belonging to youth population. The survey considered the tourists preferences of visits and factors they would look upon to choose beach holidaying in the Post COVID-19 years. The influence of the pandemic on quality of beaches, visitors'willingness to visit beaches in future, Post Pandemic opportunities and strategies of destinations for shaping tourism further have also been examined. ©Copyright IJHTS.

Recent advances of nanotechnology in COVID 19: A critical review and future perspective

The global anxiety and economic crisis causes the deadly pandemic coronavirus disease of 2019 (COVID 19) affect millions of people right now. Subsequently, this life threatened viral disease is caused due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, morbidity and mortality of infected patients are due to cytokines storm syndrome associated with lung injury and multiorgan failure caused by COVID 19. Thereafter, several methodological advances have been approved by WHO and US-FDA for the detection, diagnosis and control of this wide spreadable communicable disease but still facing multi-challenges to control. Herein, we majorly emphasize the current trends and future perspectives of nano-medicinal based approaches for the delivery of anti-COVID 19 therapeutic moieties. Interestingly, Nanoparticles (NPs) loaded with drug molecules or vaccines resemble morphological features of SARS-CoV-2 in their size (60–140 nm) and shape (circular or spherical) that particularly mimics the virus facilitating strong interaction between them. Indeed, the delivery of anti-COVID 19 cargos via a nanoparticle such as Lipidic nanoparticles, Polymeric nanoparticles, Metallic nanoparticles, and Multi-functionalized nanoparticles to overcome the drawbacks of conventional approaches, specifying the site-specific targeting with reduced drug loading and toxicities, exhibit their immense potential. Additionally, nano-technological based drug delivery with their peculiar characteristics of having low immunogenicity, tunable drug release, multidrug delivery, higher selectivity and specificity, higher efficacy and tolerability switch on the novel pathway for the prevention and treatment of COVID 19. © 2022 The Author(s)

Do comprehensive labor measures reduce the severity of the pandemic? Evidence from India

Purpose: As a developing country, India initiated several labor measures to contain the Covid-19 pandemic. This study analyzes the impact of the Covid-19-induced comprehensive labor measures by Indian states on the Case Fatality Ratios and Recovery Rates. Such an analysis will provide deeper insights into the importance of labor measures during a health emergency. It will also be a reality check to the existing National Health Policy. Design/methodology/approach: The study examines the four major aspects of labor measures on migration, social security, state-specific needs and health and human rights. The authors use these to formulate a composite labor measure index to comprehend the Covid-19-induced various labor measures. Additionally, the authors apply pooled ordinary least squares and panel random-effects models with the state-wise monthly data to examine the impact of Covid-19-induced labor measures on the severity of the pandemic. Findings: Covid-19-induced comprehensive labor measures reduce fatalities and increase recovery rates. In particular, the measures on labor migration, state-specific needs and health and human rights adopted by the Indian states successfully reduce the Covid-19 fatalities and improve the recovery rates. However, the measures taken to address social security have been ineffective in reducing the severity of the pandemic. The study results are robust to various other specifications. Research limitations/implications: The time period covered in this research is very brief and does not account for the qualitative impact of labor measures on the severity of the pandemic. This study specifically addresses the number of Covid-19-induced labor measures and not the resources allocated to their implementations or the number of people who benefited from the measures. Practical implications: This study emphasizes the need for subnational comprehensive labor measures to reduce the severity of the pandemic in developing countries. The study confirms the need for effective Covid-19-induced social security measures to cope with the pandemic in India. This study also ascertains the beneficial impact of the measures on migration, state-specific needs and health and human rights. Originality/value: The authors make a composite labor measure index that captures state-level Covid-19-induced labor measures on diverse aspects, namely migration, social security, state-specific need and health and human rights, hitherto unexplored. In addition, the authors analyze the impact of these labor measures on the severity of the pandemic. © 2022, Emerald Publishing Limited.

Employment inequality in India during the pandemic

Purpose: The coronavirus disease 2019 (COVID-19)-induced response policies initiated by the Indian states disproportionately impact the employment of different groups in terms of gender, caste and religion. This study analyses the impact of the COVID-19-induced labor policies on employment inequality across different groups in India. Design/methodology/approach: The authors identify different exogenous COVID-19-induced labor policies initiated by the Indian states, and synthesize them into direct and indirect labor policies. The authors employ a panel model to examine the impact of COVID-19-induced labor policies on employment inequality. Findings: The authors find that the direct and indirect labor policies induce a decline in the employment rate, and create employment inequality among gendered and religious sub-groups. Females and Muslims have not significantly benefited from the COVID-19-induced labor policies. However, disadvantaged caste groups have benefited from direct and indirect labor policies. Research limitations/implications: The time period during which this research was conducted was quite brief, and the qualitative impact of labor policies on employment inequality has not been accounted for. Practical implications: This study unravels the distributive impact of the COVID-19-induced direct and indirect labor policies on the well-being of vulnerable laborers. Social implications: The study provides novel empirical evidence of the beneficial role of a proactive government. This study’s findings suggest the need for specific distributive labor policies to address employment inequality among gender and religious groups in India. Originality/value: The study employs new data sources and synthesizes the COVID-19-induced labor policies into direct and indirect labor policies. In addition, the study contributes to understanding the impact of COVID-19 induced direct and indirect labor policies on employment inequality across gender, caste and religious sub-groups in India. © 2022, Emerald Publishing Limited.