Government's policy, citizens' behavior, and COVID-19 pandemic.
Ontology highlight
ABSTRACT:
SUBMITTER: Takagi H
PROVIDER: S-EPMC7537013 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Due to COVID 19 (Corona virus disease)pandemic, majority of surgeries, including surgery for cancer patients got delayed across the globe. Surgeries were limited to emergency set up only. At our institute we tried to perform colorectal cancer surgeries through out the pandemic, albeit in less numbers, as we thought cancer in itself is an emergency setting. we are planning to analyse the prospectively managed database of this particular group of patients over a period of last six 6 months and look out at 30 day post operative morbidity and mortality. Besides we will try to analyse the implications of our decision to carry on with cancer surgeries in terms of number of health care workers who got infected while being involved in primary care of these patients.
| 2354636 | ecrin-mdr-crc
Project description:In this study, health risk attitude and health locus of control were included as dispositional factors in the Protection Motivation Theory (PMT) to explain people's protective behavior in the context of COVID-19 pandemic. Empirical data involved two waves of data with a sample of 526 adults with full-time jobs from Beijing, China, and structural equation model results confirmed a partial successful extension of the PMT. Specifically, health risk attitude had a direct effect on citizens' protective behavior, but without an indirect effect mediated by threat appraisal toward the COVID-19 pandemic; health locus of control did not directly associate with citizens' protective behavior, but had an indirect effect on it fully via coping appraisal toward the COVID-19 pandemic. Thus, the PMT has been extended by adding a distal dispositional factor on the impact of coping appraisal on protective behavior. Implications for advancing the government's anti-epidemic strategy are discussed.
| S-EPMC11376525 | biostudies-literature
Project description:Staying home and avoiding unnecessary contact is an important part of the effort to contain COVID-19 and limit deaths. Every state in the United States enacted policies to encourage distancing and some mandated staying home. Understanding how these policies interact with individuals' voluntary responses to the COVID-19 epidemic is a critical initial step in understanding the role of these nonpharmaceutical interventions in transmission dynamics and assessing policy impacts. We use variation in policy responses along with smart device data that measures the amount of time Americans stayed home to disentangle the extent that observed shifts in staying home behavior are induced by policy. We find evidence that stay-at-home orders and voluntary response to locally reported COVID-19 cases and deaths led to behavioral change. For the median county, which implemented a stay-at-home order with about two cases, we find that the response to stay-at-home orders increased time at home as if the county had experienced 29 additional local cases. However, the relative effect of stay-at-home orders was much greater in select counties. On the one hand, the mandate can be viewed as displacing a voluntary response to this rise in cases. On the other hand, policy accelerated the response, which likely helped reduce spread in the early phase of the pandemic. It is important to be able to attribute the relative role of self-interested behavior or policy mandates to understand the limits and opportunities for relying on voluntary behavior as opposed to imposing stay-at-home orders.
| S-EPMC8076999 | biostudies-literature
Project description:Data are essential for digital solutions and supporting citizens' everyday behavior. Open data initiatives have expanded worldwide in the last decades, yet investigating the actual usage of open data and evaluating their impacts are insufficient. Thus, in this paper, we examine an exemplary use case of open data during the early stage of the Covid-19 pandemic and assess its impacts on citizens. Based on quasi-experimental methods, the study found that publishing local stores' real-time face mask stock levels as open data may have influenced people's purchase behaviors. Results indicate a reduced panic buying behavior as a consequence of the openly accessible information in the form of an online mask map. Furthermore, the results also suggested that such open-data-based countermeasures did not equally impact every citizen and rather varied among socioeconomic conditions, in particular the education level.
| S-EPMC9584957 | biostudies-literature
Project description:BackgroundThe COVID-19 pandemic has hit all corners of the world, challenging governments to act promptly in controlling the spread of the pandemic. Due to limited resources and inferior technological capacities, developing countries including Vietnam have faced many challenges in combating the pandemic. Since the first cases were detected on 23 January 2020, Vietnam has undergone a 3-month fierce battle to control the outbreak with stringent measures from the government to mitigate the adverse impacts. In this study, we aim to give insights into the Vietnamese government's progress during the first three months of the outbreak. Additionally, we relatively compare Vietnam's response with that of other Southeast Asia countries to deliver a clear and comprehensive view on disease control strategies.MethodsThe data on the number of COVID-19 confirmed and recovered cases in Vietnam was obtained from the Dashboard for COVID-19 statistics of the Ministry of Health (https://ncov.vncdc.gov.vn/). The review on Vietnam's country-level responses was conducted by searching for relevant government documents issued on the online database 'Vietnam Laws Repository' (https://thuvienphapluat.vn/en/index.aspx), with the grey literature on Google and relevant official websites. A stringency index of government policies and the countries' respective numbers of confirmed cases of nine Southeast Asian countries were adapted from the Oxford COVID-19 Government Response Tracker (https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker). All data was updated as of 24 April 2020.ResultsPreliminary positive results have been achieved given that the nation confirmed no new community-transmitted cases since 16 April and zero COVID-19 - related deaths throughout the 3-month pandemic period. To date, the pandemic has been successfully controlled thanks to the Vietnamese government's prompt, proactive and decisive responses including mobilization of the health care systems, security forces, economic policies, along with a creative and effective communication campaign corresponding with crucial milestones of the epidemic's progression.ConclusionsVietnam could be one of the role models in pandemic control for low-resource settings. As the pandemic is still ongoing in an unpredictable trajectory, disease control measures should continue to be put in place in the foreseeable short term.
| S-EPMC7567433 | biostudies-literature
Project description:ObjectiveTo study the U.S. public's health behaviors, attitudes, and policy opinions about COVID-19 in the earliest weeks of the national health crisis (March 20-23, 2020).MethodWe designed and fielded an original representative survey of 3,000 American adults between March 20-23, 2020 to collect data on a battery of 38 health-related behaviors, government policy preferences on COVID-19 response and worries about the pandemic. We test for partisan differences COVID-19 related policy attitudes and behaviors, measured in three different ways: party affiliation, intended 2020 Presidential vote, and self-placed ideological positioning. Our multivariate approach adjusts for a wide range of individual demographic and geographic characteristics that might confound the relationship between partisanship and health behaviors, attitudes, and preferences.ResultsWe find that partisanship-measured as party identification, support for President Trump, or left-right ideological positioning-explains differences in Americans across a wide range of health behaviors and policy preferences. We find no consistent evidence that controlling for individual news consumption, the local policy environment, and local pandemic-related deaths erases the observed partisan differences in health behaviors, beliefs, and attitudes. In further analyses, we use a LASSO regression approach to select predictors, and find that a partisanship indicator is the most commonly selected predictor across the 38 dependent variables that we study.ConclusionOur analysis of individual self-reported behavior, attitudes, and policy preferences in response to COVID-19 reveals that partisanship played a central role in shaping individual responses in the earliest months of the COVID-19 pandemic. These results indicate that partisan differences in responding to a national public health emergency were entrenched from the earliest days of the pandemic.
| S-EPMC8026027 | biostudies-literature
Project description: Not available
| S-BSST1055 | biostudies-other
Project description:There is limited understanding of how older adults evaluated the federal government's COVID-19 response, despite their increased health risks during the pandemic and their important role in politics. We conducted qualitative thematic analysis on a nationally representative subsample of respondents aged 55+ from the COVID-19 Coping Study (N = 500) who were asked: "How do you feel about federal government responses to and handling of the COVID-19 pandemic?" Analyses identified largely negative opinions about the federal government and former President Trump's leadership, though some were neutral or positive. Participants expressed concerns that the federal government was undermining science, and that sending mixed messages about personal protective equipment and masks was dangerous. Perspectives were divergent and reflective of the country's polarization surrounding COVID-19 policies. Results can inform efforts to build unity between political parties and identify strategies that governments can use to better respond to future public health crises.
| S-EPMC9283959 | biostudies-literature
Project description:That the world was unprepared for a major infectious disease outbreak is now readily apparent to all credible observers. However, some countries were more prepared than others and we have seen a variety of responses to COVID-19 emerge across nations. While recognizing that the sources of variation in country responses to COVID-19 are many and varied, in this study we seek to examine how policy legacies from national responses to HIV have influenced countries' responses to COVID-19. The aim of this study was to examine whether countries with a more conducive HIV policy environment were better prepared for COVID-19 and have therefore had more preemptive and rights-based responses. Using data from the Oxford Covid-19 Government Response Tracker, we develop measures of country effort to respond to COVID-19 including early containment and closure policies, prevention policies, economic policies, and health system policies. We combine this with data from the HIV Policy Lab and correlate overall and disaggregated country HIV Policy scores with COVID-19 Policy scores. We find that the COVID-19 Containment and Closure Measures Index was negatively correlated with supportive social policies related to HIV in the early stages of the pandemic, but the association did not persist as time went on. The COVID-19 Economic Support Measures had prolonged positive associations with supportive social policies related to HIV and negative association with clinical and treatment policies. Countries with stronger structural responses to HIV have been less inclined towards involuntary measures and more prepared for the social and economic elements of COVID-19 pandemic response.
| S-EPMC10292714 | biostudies-literature
Project description:As the COVID-19 spreads across the world, many nations impose lockdown measures at the early stage of the pandemic to prevent the spread of the disease. Controversy surrounds the lockdown as it is a choice between economic freedom and public health. The ultimate solution to a pandemic is to vaccinate a massive population to achieve herd immunity. However, the whole vaccination programme is a long and complicated process. The virus and the vaccine will persist for quite a long time. How to gradually ease the lockdown based on vaccination progress is an important issue, as both economic and epidemiological issues are involved. In this paper, we extend the classic SIR model to find optimal decision making to balance between economy and public health in the process of vaccination rollout. The model provides an approach of vaccine value estimation. Our results provide scientific suggestion for policymakers to make important decisions about when to start the lockdown and how strong it should be over the entire vaccination cycle.
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