The outbreak of novel COVID-19 disease elicited a wide range of anti-contagion and economic policies like school closure, income support, contact tracing, and so forth, in the mitigation and suppression of the spread of the SARS-CoV-2 virus. However, a systematic evaluation of these policies has not been made. Here, 17 implemented policies from the Oxford COVID-19 Government Response Tracker dataset employed in 90 countries from December 31, 2019, to August 31, 2020, were analyzed. A Poisson regression model was applied to analyze the relationship between policies and daily confirmed cases using a generalized estimating equations approach. A lag is a fixed time displacement in time series data. With that, lagging (0, 3, 7, 10, and 14 days) was also considered during the analysis since the effects of policies implemented on a given day may affect the number of confirmed cases several days after implementation. The countries were divided into three groups depending on the number of waves of the pandemic observed in each country. Through subgroup analysis, we showed that with and without lagging, contact tracing and containment policies were significant for countries with two waves, while closing, economic, and health policies were significant for countries with three waves. Wave-specific analysis for each wave showed that significant health, economic, and containment policies varied across waves of the pandemic. Emergency investment in healthcare was consistently significant among the three groups of countries, while the Stringency index was significant among all waves of the pandemic. These findings may help in making informed decisions regarding whether, which, or when these policies should be intensified or lifted.
Since the outbreak of novel SARS-COV-2, each country has implemented diverse policies to mitigate and suppress the spread of the virus. However, no systematic evaluation of these policies in their alleviation of the pandemic has been done. We investigate the impact of five indices derived from 12 policies in the Oxford COVID-19 Government Response Tracker dataset and the Korean government’s index, which is the social distancing level implemented by the Korean government in response to the changing pandemic situation. We employed segmented Poisson model for this analysis. In conclusion, health and the Korean government indices are most consistently effective (with negative coefficients), while the restriction and stringency indexes are mainly effective with lagging (1~10 days), as intuitively daily confirmed cases of a given day is affected by the policies implemented days before, which shows that a period of time is required before the impact of some policies can be observed. The health index demonstrates the importance of public information campaign, testing policy and contact tracing, while the government index shows the importance of social distancing guidelines in mitigating the spread of the virus. These results imply the important roles of these polices in mitigation of the spread of COVID-19 disease.
In the present study, phase-dependent gas sensitivities of MoS 2 chemical sensors were examined. While 1T-phase MoS 2 (1T-MoS 2 ) has shown better chemical sensitivity than has 2H-phase MoS 2 (2H-MoS 2 ), the instability of the 1T phase has been hindering applications of 1T-MoS 2 as chemical sensors. Here, the chemical sensitivity of MoS 2 locked in its 1T phase by using a ZnO phase lock was investigated. To develop MoS 2 chemical sensors locked in the 1T phase, we synthesized a multi-dimensional nanomaterial by growing ZnO nanorods onto MoS 2 nanosheets (ZnO@1T-MoS 2 ). Raman spectroscopy and x-ray photoelectron spectroscopy analyses of such phase-locked 1T-MoS 2 subjected to flash light irradiation 100 times confirmed its robustness. ZnO nanomaterials hybridized on MoS 2 nanosheets not only froze the MoS 2 at its 1T phase, but also increased the active surface area for chemical sensing. The resulting hybridized material showed better response, namely better sensitivity, to NO 2 gas exposure at room temperature than did 1T-MoS 2 and 2H-MoS 2 . This result indicated that increased surface area and heterojunction formation between MoS 2 and ZnO constitute a more promising route for improving sensitivity than using the 1T phase itself.
The purpose of the present study was to examine the severity of suicidal ideation of the older adults according to the amount of involvement in grandchild care. Data for this research were drawn from a cross-sectional study conducted on community-dwelling adults aged 65 years or older. The 922 participants were divided into three groups according to their involvement in grandchild care: 18.5% had provided daily care, 12.4% had provided occasional care, and 69.1% had never cared for their grandchildren. ANCOVA analysis showed that the scores for depression was significantly lower in the group which took care of their grandchildren occasionally compared to the other two groups. The scores for suicidal ideation was significantly higher in the group which had never taken care of their grandchildren compared to the other two groups. Current study suggests that grandparenting may have a positive effect on suicidal ideation of the older adults.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.