ABSTRACT
The COVID-19 pandemic has already resulted in more than 6 million deaths worldwide as of December 2022. The COVID-19 has also been greatly affecting the activity of the human population in China and the world. It remains unclear how the human activity-intensity changes have been affected by the COVID-19 spread in China at its different stages along with the lockdown and relaxation policies. We used four days of Location-based services data from Tencent across China to capture the real-time changes in human activity intensity in three stages of COVID-19—namely, during the lockdown, at the first stage of work resuming and at the stage of total work resuming—and observed the changes in different land use categories. We applied the mean decrease Gini (MDG) approach in random forest to examine how these changes are influenced by land attributes, relying on the CART algorithm in Python. This approach was also compared with Geographically Weighted Regression (GWR). Our analysis revealed that the human activity intensity decreased by 22–35%, 9–16% and 6–15%, respectively, in relation to the normal conditions before the spread of COVID-19 during the three periods. The human activity intensity associated with commercial sites, sports facilities/gyms and tourism experienced the relatively largest contraction during the lockdown. During the relaxations of restrictions, government institutions showed a 13.89% rise in intensity at the first stage of work resuming, which was the highest rate among all the working sectors. Furthermore, the GDP and road junction density were more influenced by the change in human activity intensity for all land use categories. The bus stop density was importantly associated with mixed-use land recovery during the relaxing stages, while the coefficient of density of population in entertainment land were relatively higher at these two stages. This study aims to provide additional support to investigate the human activity changes due to the spread of COVID-19 at different stages across different sectors. © 2022 by the authors.
ABSTRACT
The business sector's finances have already begun to suffer as a result of decreased production and lockdowns, which have already begun to take their toll. In order to keep operations running smoothly, a significant public budget or stimulus is required to address issues such as interruptions in supply chains, difficulties in manufacturing, and paralyzed health systems. The banking and financial industry, whose prospects are related closely to those of the economy, is sure to face the brunt of the anticipated slowdown in economic development. The International Monetary Fund has reduced India's GDP growth prediction to 1.9 percent for 2020-21. There is a possibility of an increase in defaulted loans. "The downturn might potentially lead to job losses, which could put on on the retail lending books of financial institutions. The loss of revenue from tourism and the entertainment industries, amongst many other areas of business, has already damaged the economy. These and other such factors are all building up to put a burden on the economy of the whole world, which may potentially have ramifications for the next few years. The governments, central banks, and regulatory bodies in the Asia-Pacific region have each implemented their own unique set of countermeasures in response to COVID-19. These include the infusion of additional cash, loans directed at damaged companies and areas, and reductions in the policy interest rate. Additionally, it involves assistance for financial institutions in their provision of forbearance to economically viable people and companies that were negatively impacted by COVID-19. Copyright © 2023 Wolters Kluwer Medknow Publications. All rights reserved.
ABSTRACT
BACKGROUND: In Cambodia, female entertainment workers (FEWs) are disproportionately affected by global and local disasters, such as the COVID-19 pandemic. To prevent the spread of COVID-19, the government imposed tight restrictions, including closures of entertainment venues, such as karaoke bars, beer gardens, nightclubs, or massage parlors, leading FEWs to face economic and social disruptions. This study aims to assess the relationship between income loss during the pandemic and gender-based violence (GBV) among FEWs in Cambodia to inform future disaster response programs. METHODS: We conducted a phone survey in August 2021 with 369 randomly sampled FEWs from a national organization's email list. We used a structured questionnaire to ask the participants about job and income loss, food security, mental health, access to health services, and GBV. We fit a linear regression model to examine the differences in GBV experience between FEWs who lost all their income and those who lost partial income due to the COVID-19 pandemic. Key covariables comprised the number of dependents, smartphone ownership, internet access, food security, and mental health. Multivariable linear regression analysis was conducted. RESULTS: The mean age (31.6 vs. 30.6), years of formal education (6.3 vs. 6.3), marital status (24.2 vs. 23.8 never married), and the number of children (1.3 vs. 1.1) of women reporting having lost all income were not significantly different from those who experienced partial income loss. Overall, GBV experiences were significantly higher in FEWs who lost all income than in those who lost partial income (62.9% vs. 47.4%, p = 0.03). Controlling for the number of dependents, smartphone ownership, and food security, the adjusted odds ratio for GBV was significant in the adjusted model (AOR = 1.23 (1.08-1.40), p = 0.001) indicating that those who experienced total income loss were more likely to experience GBV than those who experienced partial income loss. In addition, they were significantly less likely to be food secure (p = 0.04), less likely to own a smartphone (p = 0.02), and had more dependents (p < 0.001). CONCLUSION: Disaster response programs should consider the implications of safety measures and government support for both formal and informal workers regarding safety, food access, and mental health support. Food assistance programs should target the most vulnerable informal sector workers during crises.