Standardising policy and technology responses in the immediate aftermath of a pandemic: a comparative and conceptual framework

Background: The initial policy response to the COVID-19 pandemic has differed widely across countries. Such variability in government interventions has made it difficult for policymakers and health research systems to compare what has happened and the effectiveness of interventions across nations. Timely information and analysis are crucial to addressing the lag between the pandemic and government responses to implement targeted interventions to alleviate the impact of the pandemic. Methods: To examine the effect government interventions and technological responses have on epidemiological and economic outcomes, this policy paper proposes a conceptual framework that provides a qualitative taxonomy of government policy directives implemented in the immediate aftermath of a pandemic announcement and before vaccines are implementable. This framework assigns a gradient indicating the intensity and extent of the policy measures and applies the gradient to four countries that share similar institutional features but different COVID-19 experiences: Italy, New Zealand, the United Kingdom and the United States of America. Results: Using the categorisation framework allows qualitative information to be presented, and more specifically the gradient can show the dynamic impact of policy interventions on specific outcomes. We have observed that the policy categorisation described here can be used by decision-makers to examine the impacts of major viral outbreaks such as SARS-CoV-2 on health and economic outcomes over time. The framework allows for a visualisation of the frequency and comparison of dominant policies and provides a conceptual tool to assess how dominant interventions (and innovations) affect different sets of health and non-health related outcomes during the response phase to the pandemic. Conclusions: Policymakers and health researchers should converge toward an optimal set of policy interventions to minimize the costs of the pandemic (i.e., health and economic), and facilitate coordination across governance levels before effective vaccines are produced. The proposed framework provides a useful tool to direct health research system resources and build a policy benchmark for future viral outbreaks where vaccines are not readily available

COVID-19 Pandemic in the United Kingdom

Objectives To describe epidemiological data on cases of COVID-19 and the spread of Severe Acute Respiratory Syndrome Coronavirus 2 in the United Kingdom (UK), and the subsequent policy and technological response to the pandemic, including impact on healthcare, business and the economy. Methods Epidemiological, business and economic data were extracted from official government sources covering the period 31st January to 13th August 2020; healthcare system data up to end of June 2019. Results UK-wide COVID-19 cases and deaths were 313,798 and 46,706 respectively (472 cases and 70 deaths per 100,000 population) by 12th August. There were regional variations in England, with London and North West (756 and 666 cases per 100,000 population respectively) disproportionately affected compared with other regions. As of 11th August, 13,618,470 tests had been conducted in the UK. Increased risk of mortality was associated with age (≥60 years), gender (male) and BAME groups. Since onset of the pandemic, emergency department attendance, primary care utilisation and cancer referrals and inpatient/outpatient referrals have declined; emergency ambulance and NHS111 calls increased. Business sectors most impacted are the arts, entertainment and recreation, followed by accommodation and food services. Government interventions aimed at curtailing the business and economic impact have been implemented, but applications for state benefits have increased. Conclusions The impact of COVID-19 on the UK population, health system and economy has been profound. More data are needed to implement the optimal policy and technological responses to preventing further spikes in COVID-19 cases, and to inform strategic planning to manage future pandemics

Public preferences for vaccination campaigns in the COVID-19 endemic phase:insights from the VaxPref database

Objective: Despite widespread perceptions that SARS-CoV-2 (COVID-19) is no longer a significant threat, the virus continues to loom, and new variants may require renewed efforts to control its spread. Understanding how individual preferences and attitudes influence vaccination behaviour and policy compliance in light of the endemic phase is crucial in preparation for this scenario. Method: This paper presents descriptive data from a global stated choice survey conducted in 22 countries across 6 different continents between July 2022 and August 2023, and reports the methodological work developed to address the need for comparable data. Results: This study included 50,242 respondents. Findings indicated significant heterogeneity across countries in terms of vaccination status and willingness to accept boosters. Vaccine hesitancy and refusal were driven by lower trust in public health bodies, younger age, and lower educational levels. Refusers and hesitant people reported lower willingness to take risks compared to those fully vaccinated (p&lt;0.05). Lower mental health levels were found for the hesitant cohort (p&lt;0.05). Conclusions: Insights from this database can help public health authorities to gain a new understanding of the vaccine hesitancy phenomenon, support them in managing the transition from the pandemic to the endemic phase, and favour a new stream of research to maximise behavioural response to vaccination programs in preparation of future pandemics.</p

Public preferences for vaccination campaigns in the COVID-19 endemic phase: insights from the VaxPref database

Objective Despite widespread perceptions that SARS-CoV-2 (COVID-19) is no longer a significant threat, the virus continues to loom, and new variants may require renewed efforts to control its spread. Understanding how individual preferences and attitudes influence vaccination behaviour and policy compliance in light of the endemic phase is crucial in preparation for this scenario. Method This paper presents descriptive data from a global stated choice survey conducted in 22 countries across 6 different continents between July 2022 and August 2023, and reports the methodological work developed to address the need for comparable data. Results This study included 50,242 respondents. Findings indicated significant heterogeneity across countries in terms of vaccination status and willingness to accept boosters. Vaccine hesitancy and refusal were driven by lower trust in public health bodies, younger age, and lower educational levels. Refusers and hesitant people reported lower willingness to take risks compared to those fully vaccinated (p<0.05). Lower mental health levels were found for the hesitant cohort (p<0.05). Conclusions Insights from this database can help public health authorities to gain a new understanding of the vaccine hesitancy phenomenon, support them in managing the transition from the pandemic to the endemic phase, and favour a new stream of research to maximise behavioural response to vaccination programs in preparation of future pandemics

Interacting online: Examining behaviour in a crowdfunding setting

This thesis investigated how communication in online crowdfunding influences monetary contributions to projects and project creators' behaviours in second projects. Underlying cues such as sustainability signals and monetary discussion affected contributions on Kickstarter, while research categorisation of projects on Experiment.com did not, whilst feedback from past project outcomes influenced project creators' willingness to create further projects on Kickstarter. Moreover, the feedback also caused changes in the information provided on subsequent projects

Communication to success : decision-making in crowdfunding

This thesis investigates how project creators communicate to contributors. It focuses on crowdfunding success in Kickstarter projects to examine how creators' use of word count, complexity, confidence and money terms in the campaign affect the contributing behaviour of backers. The thesis finds that complexity of text, word count of the description and confidence exhibit a curvilinear relationship, where an optimal level of text length, readability and confidence exists. Moreover, an over-emphasis on money negatively affects success

How much is too much? The effects of information quantity on crowdfunding performance

We explore the effects of the quantity of information on the tendency to contribute to crowdfunding campaigns. Using the crowdfunding platform Kickstarter, we analyze the campaign descriptions and the performance of over 70,000 projects. We look empirically at the effect of information quantity (word count) on funding success (as measure by amount raised and number of backers). Within this empirical approach, we test whether an excessive amount of information will affect funding success. To do so, we test for the non-linearity (quadratic) effect of our independent variable (word count) using regression analysis. Consistent with the hypothesis that excess information will negatively affect funds raised and number of contributors, we observe a consistent U-shaped relationship between campaign text length and overall success which suggest that an optimal number of words exists within crowdfunding texts and that going over this point will reduce a project’s chance of fundraising success

The COVID-19 pandemic in Greece, Iceland, New Zealand, and Singapore: Health policies and lessons learned

Objective(s) This paper aims at providing an overview of the COVID-19 situation, health policies, and economic impact in Greece, Iceland, New Zealand, and Singapore. The four countries were chosen due to their ability to contain the spread and mitigate the effects of COVID-19 on their societies. Method(s) We use document analysis based on the available national reports, media announcements, official coronavirus websites and governmental decrees in each of the four countries starting from the 1st of January o the 9th of August announcements. We apply a policy gradient to compare and examine the policies implemented in the four countries. Finding(s) The four countries have different demographic, epidemiological, socioeconomic profiles but managed to control the pandemic at an early stage in terms of total number of positive cases. The four countries managed to absorb the health system shock and decrease the case fatality ratio of COVID-19. Early interventions were crucial to avoid expected life lost in case of no early lockdown. The pandemic triggered several economic stimulus and relief measures in the four countries; the impact or the economic rebound is yet to be fully observed. Conclusion(s) We conclude that early, proactive and strict interventions along with leveraging previous experience on communicable diseases and the evolution of testing strategies are key lessons that can be synthesized from the interventions of the four countries and that could be useful for a potential second wave or similar pandemics