The Unequal Economic and Livelihood Impacts of COVID-19 Lockdowns: Qualitative Evidence from Uganda.

Lockdowns were a key policy response to the COVID-19 pandemic. While they were viewed as a necessary intervention, concerns were raised about their potential for harmful economic and livelihood impacts. However, few studies have addressed the unequal economic and livelihood impacts of lockdowns. Our article reports findings from a qualitative study conducted in Uganda on economic and livelihood impacts of COVID-19 lockdowns in urban and rural settings. This study used 14 focus group discussions, 40 household, and 31 key informant interviews in both urban (Kampala district) and rural (Wakiso district) areas in central Uganda. Data analysis was conducted thematically with NVivo 2020 (QSR International). The findings emphasize the unequal impacts of the COVID-19 lockdowns across a range of dimensions: informal sector activities, formal employment, fluctuating prices alongside scarcity and surpluses, food insecurity, and government interventions. Wealthier households in urban areas were least affected, with urban households reliant on informal sector activities experiencing the most significant impacts. Our findings also suggest that longer-term development strategies, such as increased food self-sufficiency and informal sector interventions can support future pandemic preparedness and response. To address these impacts, policymakers should provide targeted support, alongside protecting key productive sectors, and supply chains.

Income insecurity and social protection: Examining the impact of the COVID-19 pandemic across income groups.

The COVID-19 pandemic has wrought unprecedented disruption on global economies, leading to widespread income insecurity among individuals and households. This study investigates the impact of the pandemic on income insecurity across different income groups and assesses the role of social protection measures in mitigating these effects. Using cross-country data, we analyze the prevalence of income reduction and the effectiveness of social assistance programs in high-income, upper middle-income, lower middle-income, and low-income countries. Our findings reveal significant variations in income insecurity and social protection responses across these groups. the pandemic had a significant impact on household incomes globally, with lower-middle-income countries experiencing the most significant income reductions. The average per capita transfer amounts show a general decrease over time, which could be due to the economic strain on governments and the need for more sustainable social protection programs. The correlation between transfer amounts and the proportion of households with reduced income indicates that countries with higher income reduction rates tended to have lower average per capita transfer amounts, suggesting a potential lack of adequate support for those in need. The study highlights the importance of robust social safety nets in cushioning the economic blow of the pandemic, particularly for vulnerable populations in lower-income countries.

Impact of financial toxicity on adults with cancer during the COVID-19 pandemic: an integrative review.

OBJECTIVES: to identify the repercussions of financial toxicity on the lives of adult cancer patients during the COVID-19 pandemic. METHODS: an integrative review was conducted using the PubMed, Web of Science, Scopus, and Embase databases, as well as the Virtual Health Library portal, in March 2023. RESULTS: out of 62 studies found, 13 were included for analysis. The primary repercussions of financial toxicity included difficulties in covering basic expenses such as food, housing, medication, transportation, and internet access; increased anxiety and concerns related to health and financial situations; reduction or absence of income; challenges in obtaining treatment or accessing healthcare services; rising expenses; and telemedicine as a less burdensome alternative. CONCLUSIONS: the pandemic has exacerbated financial toxicity; therefore, healthcare teams must recognize it as an adverse event of oncological treatment and understand its potential to affect various aspects of patients' lives.

Effects of COVID-19 related economic threat on political conservatism, xenophobia, and racial bias in the United States.

The uncertainty-threat model of conservatism posits that people turn to political conservatism to protect themselves from perceived threats; indeed, studies show increases in conservative ideology and outgroup bias following threat priming. The COVID-19 pandemic is an unprecedented threat that has had devastating effects on the health and economic lives of Americans. Concerns surrounding the threat of COVID-19 may have secondary effects on other aspects of American life, such as political and anti-Asian racial bias. The current studies explored the effects of COVID-19 related threats on expressed political conservatism, xenophobia, and racial bias under the uncertainty-threat model. Study 1 assessed the effects of priming health or economic risks of COVID-19 (vs. control), and found that economic threat led to increased xenophobia, but had no effects on overall conservatism. Study 2 then investigated whether the effects of COVID-related economic threat prime extended to racial bias, and explored moderators and mediators of effects. Results showed that the economic threat prime increased perceived group-status threat, and indirectly increased conservatism, xenophobia, and racial bias through the mechanism of perceived group-status threat. Effects were greatest for those impacted financially by the pandemic. In general, our studies provide support for the uncertainty-threat model with the novel threat of the COVID-19 pandemic. Implications for understanding potential shifts in conservatism and bias in response to future threats in the United States are discussed.

What drives China's healthcare expenditure? A theoretical and empirical study of determinants and trends.

As economic development advances, there is an increasing focus on improving health conditions, making healthcare expenditure a critical issue worldwide. In China, healthcare spending has shown a marked upward trend, highlighting the importance of understanding its underlying determinants to guide effective policy-making. This study introduces the application of an SV-TVP-FAVAR model to examine the drivers of healthcare expenditure in China from 2007 to 2022. The analysis reveals that economic factors, demographic composition, and policy interventions significantly influence healthcare spending dynamics. Economic growth is strongly linked to increased healthcare expenditure, with economic factors having a particularly pronounced impact during periods of prosperity. Although an aging population drives greater demand for healthcare, the growth rate of healthcare spending has not kept pace with demographic aging, especially following China's economic slowdown. Policy variables present a dual-edged impact: while increased fiscal outlays contribute to budget deficits, limiting the fiscal space for healthcare investment, government emphasis on scientific and technological progress tends to enhance healthcare spending, indicating a synergistic relationship between these areas. Furthermore, the study identifies a prolonged impact of the COVID-19 pandemic on healthcare expenditure, which continues to interact with other driving factors over an extended period. The empirical findings from this research provide crucial evidence to support the development of informed healthcare policies.

Asymmetric dynamic linkage between consumer sentiment, inflation expectations, and international energy prices: Evidence from time-frequency wavelet and nonlinear analysis.

This study investigates the relationship between consumer sentiment (CONS), inflation expectations (INEX) and international energy prices, drawing on principles from behavioral. We focus on Brent crude oil price and Henry Hub natural gas prices as key indicators of energy market dynamics. Based on the monthly data from January 2003 to March 2023, three wavelet methods are applied to examine the time-frequency linkage, while the nonlinear distributed lag model (NARDL) is used to verify the asymmetric impact of two factors on energy prices. The results highlight a substantial connection between consumer sentiment, inflation expectations and international energy prices, with the former in the short term and the latter in the medium to long term. Especially, these correlations are particularly pronounced during the financial crisis and global health emergencies, such as the COVID-19 epidemic. Furthermore, we detect short-term asymmetric effects of consumer sentiment and inflation expectations on Brent crude oil price, with the negative shocks dominating. The positive effects of these factors on oil prices contribute to observed long-term asymmetry. In contrast, inflation expectations have short-term and long-run asymmetric effects on natural gas price, and both are dominated by reverse shocks, while the impact of consumer sentiment on natural gas prices appears to be less asymmetric. This study could enrich current theories on the interaction between the international energy market and serve as a supplement to current literature.

Analyzing economic effect on mRNA vaccine inventory management with redistribution policy.

This study focused on the challenges posed by the fluctuating demand for COVID-19 vaccines, considering factors such as side effects, religious objections, and absenteeism, which result in the accumulation of excess vaccines. Recognizing the resulting social, economic, and environmental issues, this study investigated the application of a lateral transshipment policy for the management of the inventory of short-term vaccines, considering related unpredictabilities. A discrete event simulation built on foundational principles derived from a mixed-integer linear programming model was employed to explore the dynamics of mRNA-based vaccine distribution among two hospitals based on lateral transshipment and reordering policies. Through the simulation of various scenarios over periods of 1-30 days, transshipment based on the availability policy is employed to determine the quantity of vaccines to be transshipped, constrained to vial amounts, and the (s, S) inventory system for reordering. The results of this study underscore the efficacy of lateral transshipment, particularly in situations where demand discrepancies exist between hospitals, thereby revealing its superiority over non-transshipment strategies within 7 days.

The impact of liquidity risk and credit risk on bank profitability during COVID-19.

The COVID-19 outbreak caused a massive setback to the stability of financial system due to emergence of several other risks with COVID, which significantly influenced the continuity of profitable banking operations. Therefore, this study aims to see that how differently the liquidity risk and credit risk influenced the banking profitability during Covid-19 (Q12020 to Q42021) than before COVID (Q12018 to Q42019). The study employs pooled OLS, and OLS fixed & random effects models, to analyze the panel data on a sample of 37 banks currently operating in Pakistan. The results depict that liquidity risk has a positive and significant relationship with return on assets and return on equity, but insignificant relationship with net interest margin. Credit risk has a negative and significant relationship with return on assets, return on equity, and net interest margin. The study also applies quantile regression to address the normality issue in data. The quantile regression results are consistent with pooled OLS, and OLS fixed and random effects results. The study makes valuable suggestions for regulators, policymakers, and others users of financial institutional data. The current study will help to set policies for efficient management of LR and CR.

Beyond average spending: distributional and seasonal commercial insurance trends, 2012-2021.

OBJECTIVES: The annual mean spending measures typically used to study longitudinal trends mask distributional and seasonal variation that is relevant to patients' perceptions of health care affordability and, in turn, provider collections. This study describes shifts in the distribution and seasonality of plan and patient out-of-pocket spending from 2012 through 2021. STUDY DESIGN: Analysis of multipayer commercial claims data. METHODS: Medical spending per enrollee was calculated by summing inpatient, outpatient, and professional services, which comprised plan payments and out-of-pocket payments (deductible, coinsurance, co-payment). To account for the long right tail of the spending distribution, enrollees were stratified by their decile of annual medical spending, and annual mean spending estimates were calculated overall and by decile. Mean spending estimates were also calculated by quarter-year. RESULTS: Inflation-adjusted medical spending grew most quickly among the highest decile of spenders, without proportional growth in their out-of-pocket expenses. Out-of-pocket spending increased for the majority of enrollees in our sample prior to the COVID-19 pandemic, in real dollars and as a share of total medical spending. Out-of-pocket spending was increasingly concentrated in the early months of the calendar year, driven by deductible spending, and was lower in 2020 and 2021, plausibly due to policies limiting cost sharing for COVID-19-related services. CONCLUSIONS: Insurance is working well to protect the highest spenders at the cost of reduced insurance generosity among spenders elsewhere in the distribution. The increasing cross-subsidization among enrollees through cost-sharing design-vs premiums-is a trend to watch among rising public concerns about underinsurance and medical debt.

Cost effectiveness analysis comparing varying booster intervals of vaccination policies to address COVID-19 situation in Thailand, 2023.

The COVID-19 booster immunization policy is cost-effective, but evidence on additional booster doses and appropriate strategies is scarce. This research compared the cost-effectiveness of annual, twice-a-year, and biennial booster dose policies. We performed stochastic modeling using compartmental susceptible-exposed-infectious-recovered models and a system dynamic model. We evaluated four policy scenarios: (1) hypothetical no-booster immunization policy; (2) twice-a-year vaccination policy; (3) annual vaccination policy; and (4) biennial vaccination policy. In addition, we conducted a one-way sensitivity analysis by adjusting R0 from 1.8 to 3.0 in all scenarios (epidemic stage) and by decreasing the vaccination cost by 50% at the end of the first year to reflect the current policy direction to enhance domestic vaccine production. Compared to non-booster policies, all three booster strategies reduced the number of cases, hospital admissions, and severe infections remarkably. Without a booster, total cases would reach 16,220,615 (95% confidence interval [CI] 6,726,550-29,661,112) by day 1,460, whereas, with a twice-a-year booster, the total cases would reach 597,901 (95% CI 526,230-694,458) in the same period. Even though the no booster scenario exhibited the lowest cost by approximately the first 500 days, by day 1,460 the biennial booster scenario demonstrated the lowest cost at 72.0 billion baht (95% CI 68.6-79.4 billion). The most cost-saving policy was the biennial booster scenario. The annual booster scenario also stood as a cost-effective option for most outcomes. In the epidemic stage and in an assumption where the vaccination costs dropped, all booster policies became more cost-effective or cost-saving compared with the main assumption. This study underscores the significance of the COVID-19 vaccine booster policy. Implementing policies should take into consideration cost-effectiveness, feasibility, and public communication.

Comparison of healthcare resource use and cost between influenza and COVID-19 vaccine coadministration and influenza vaccination only.

OBJECTIVE: To compare healthcare resource utilization (HCRU) and all-cause medical costs among individuals aged ≥50 years who received influenza and COVID-19 vaccines on the same day and those who received influenza vaccine only. METHODS: We conducted a retrospective cohort study leveraging Optum's de-identified Clinformatics DataMart from 8/31/2021 to 7/31/2023. Individuals aged ≥50 years continuously enrolled in health plans for 1 year prior and until 7/31/2023 were included. Two cohorts were formed based on vaccination status between 8/31/2022 and 1/31/2023: co-administered influenza and COVID-19 vaccines (co-admin cohort) and influenza vaccine only (influenza cohort). Associations between vaccination status and all-cause, influenza-related, COVID-related, pneumonia-related, and cardiorespiratory-related hospitalization, outpatient or emergency room visits and all-cause medical costs were estimated by weighted generalized linear models, adjusting for confounding by stabilized inverse probability of treatment weighting. RESULTS: 613,156 (mean age: 71) and 1,340,011 (mean age: 72) individuals were included in the co-admin and influenza cohorts, respectively. After weighting, the baseline characteristics were balanced between cohorts. The co-admin cohort was at statistically significant lower risk of all-cause (RR: 0.95, 95% CI: 0.93-0.96), COVID-19-related (RR: 0.59, 95% CI: 0.56-0.63), cardiorespiratory-related (RR: 0.94, 95% CI: 0.93-0.96) and pneumonia-related (RR: 0.86, 95% CI: 0.83-0.90) hospitalization but not influenza-related hospitalizations (RR: 0.91, 95% CI: 0.81, 1.04) compared with the influenza cohort. Co-administration was associated with 3% lower all-cause medical cost (cost ratio: 0.974, 95% CI: 0.968, 0.979) during the follow-up period compared to receiving influenza vaccine only. LIMITATIONS: Limitations include the potential residual confounding bias in observational data, measurement errors from claims data, and that the cohort was followed for a single season. CONCLUSION: Receiving co-administered COVID-19 and influenza vaccines versus only receiving influenza vaccination reduced the risk of HCRU, especially COVID-19-related hospitalization and all-cause medical costs. Increasing vaccine coverage, particularly for COVID-19, might have public health and economic benefits.

COVID-19's impact on hospital stays, mortality, and readmissions for poverty-related diseases, noncommunicable diseases, and injury groups in Thailand.

AIMS: This study aims to compare the trends in the quality of hospital care for WHO's three disease groups pre-, during, and post-COVID-19 pandemic peak in Thailand. METHODS: The study utilized existing hospital admission data from the Thai Health Information Portal (THIP) database, covering the period from 2017 to 2022. We categorized WHO's three disease groups: poverty-related, noncommunicable, and injury groups using the International Classification of Diseases (ICD)-10 of initial admission of patients, and we analyzed three major outcomes: prolonged (≥ 90th percentile) length of stay (LOS), hospital mortality, and readmission pre-, during, and post-COVID-19 pandemic peak. Relative weight (RW) of hospital reimbursements was used as a surrogate measure of the severity of the diseases. RESULTS: The average prolonged LOS of patients with poverty disease pre-, during, and post-COVID-19 pandemic peak were 7.1%, 10.8%, 9.05%, respectively. Respective hospital mortality rates were 5.02%, 6.22%, 6.05% and readmission were 6.98/1,000, 6.16/1,000, 5.43/1,000, respectively. For non-communicable diseases, the respective proportions in the prolonged LOS were 9.0%, 9.12%, and 7.58%, with respective hospital mortality being 10.65%, 8.86%, 6.62%, and readmissions were 17.79/1,000, 13.94/1,000, 13.19/1,000, respectively. The respective prolonged LOS for injuries were 8.75%, 8.55%, 8.25%. Meanwhile, respective hospital mortality were 4.95%, 4.05%, 3.20%, and readmissions were 1.99/1,000, 1.60/1,000, 1.48/1,000, respectively. The RW analysis reveals diverse impacts on resource utilization and costs. Most poverty-related and noncommunicable diseases indicate increased resource requirements and associated costs, except for HIV/AIDS and diabetes mellitus, showing mixed trends. In injuries, road traffic accidents consistently decrease resource needs and costs, but suicide cases show mixed trends. CONCLUSIONS: COVID-19 had a more serious impact, especially prolonged LOS and hospital mortality for poverty-related diseases more than noncommunicable diseases and injuries.

Moral distress related to paid and unpaid care among healthcare workers during the COVID-19 pandemic.

While there is growing literature on experiences of healthcare workers and those providing unpaid care during COVID-19, little research considers the relationships between paid and unpaid care burdens and contributions. We administered a moral distress survey to healthcare workers in Canada, in 2022, collecting data on both paid and unpaid care. There were no significant differences in the proportion of participants providing unpaid care by gender, with both genders equally affected by certain responsibilities such as reduced contact with family/loved ones. However, men were significantly more distressed about specific unpaid care responsibilities. Unpaid care was not significantly associated with differences in intention to leave work. At work, women were significantly more concerned about patients unable to see family, while men were distressed by others mistreating COVID patients. This study enhances understanding of paid and unpaid care relationships, particularly during crises, and proposes an innovative method for assessing unpaid care burdens.

The global health and economic value of COVID-19 vaccination.

INTRODUCTION: The COVID-19 pandemic triggered one of the largest global health and economic crises in recent history. COVID-19 vaccination (CV) has been the central tool for global health and macroeconomic recovery, yet estimates of CV's global health and macroeconomic value remain scarce. METHODS: We used regression analyses to measure the impact of CV on gross domestic product (GDP), infections and deaths. We combined regression estimates of vaccine-averted infections and deaths with estimates of quality-adjusted life years (QALY) losses, and direct and indirect costs, to estimate three broad value components: (i) QALY gains, (ii) direct and indirect costs averted and (iii) GDP impacts. The global value is the sum of components over 148 countries between January 2020 and December 2021 for CV generally and for Pfizer-BioNTech specifically. RESULTS: CV's global value was US$5.2 (95% CI US$4.1 to US$6.2) trillion, with Pfizer-BioNTech's vaccines contributing over US$1.9 (95% CI US$1.5 to US$2.3) trillion. Varying key parameters results in values 10%-20% higher or lower than the base-case value. The largest value component was GDP impacts, followed by QALY gains, then direct and indirect costs averted. CV provided US$740 of value per dose, while Pfizer-BioNTech specifically provided >US$1600 per dose. We estimated conservative benefit-cost ratios of 13.9 and 30.8 for CV and Pfizer-BioNTech, respectively. CONCLUSIONS: We provide the first estimates of the broad value of CV incorporating GDP, QALY and direct and indirect cost impacts. Through December 2021, CV produced significant health and economic value, represented strong value for money and produced significant macroeconomic benefits that should be considered in vaccine evaluation.

Jurisdiction-level costs of the initial phase of the COVID-19 vaccination program in the United States, December 20, 2020-May 31, 2021.

This study aimed to quantify U.S. jurisdiction-level costs related to the COVID-19 Vaccination Program by estimating the per-dose-administered cost during December 20, 2020-May 31, 2021, from a combined federal and local government perspective. Costs were limited to vaccine purchase, administration (including operations and wastage), and local redistribution by jurisdictions. Data were collected through publicly available sources, published literature, and a survey of 62 jurisdictions (38 responded). A total of 284.6 million doses of COVID-19 vaccine were distributed to jurisdictions during the study period, of which 284.2 million doses were administered, and 0.4 million doses were wasted. The estimated cost per-dose-administered among the 38 jurisdictions that responded to study survey was $57.45 and imputed cost across all jurisdictions was $63.11. The findings on jurisdiction-level cost per-dose-administered and vaccination cost during the initial period of U.S. COVID-19 Vaccination Program, when demand exceeded supply, may be considered in future pandemic preparedness planning.

Examining media's coverage of COVID-19 vaccines and social media sentiments on vaccine manufacturers' stock prices.

Introduction: The COVID-19 pandemic caused a widespread public health and financial crisis. The rapid vaccine development generated extensive discussions in both mainstream and social media, sparking optimism in the global financial markets. This study aims to explore the key themes from mainstream media's coverage of COVID-19 vaccines on Facebook and examine how public interactions and responses on Facebook to mainstream media's posts are associated with daily stock prices and trade volume of major vaccine manufacturers. Methods: We obtained mainstream media's coverage of COVID-19 vaccines and major vaccine manufacturers on Facebook from CrowdTangle, a public insights tool owned and operated by Facebook, as well as the corresponding trade volume and daily closing prices from January 2020 to December 2021. Structural topic modelling was used to analyze social media posts while regression analysis was conducted to determine the impact of Facebook reactions on stock prices and trade volume. Results: 10 diverse topics ranging from vaccine trials and their politicization (note: check that we use American spelling throughout), to stock market discussions were found to evolve over the pandemic. Although Facebook reactions were not consistently associated with vaccine manufacturers' stock prices, 'Haha' and 'Angry' reactions showed the strongest association with stock price fluctuations. In comparison, social media reactions had little observable impact on trading volume. Discussion: Topics generated reflect both actual events during vaccine development as well as its political and economic impact. The topics generated in this study reflect both the actual events surrounding vaccine development and its broader political and economic impact. While we anticipated a stronger correlation, our findings suggest a limited relationship between emotional reactions on Facebook and vaccine manufacturers' stock prices and trading volume. We also discussed potential technical enhancements for future studies, including the integration of large language models.

Specialty economies of scope in English hospitals: Cost Arguments for colocation.

OBJECTIVE: Current policy responses to COVID-19 disruption and care backlogs suggest potential changes to the location and structure of hospital healthcare supply. However, few studies investigating the cost effects of hospital reorganisation consider changes in the mix of outputs or test for the existence of economies of scope in hospital healthcare. Attempts to create dedicated hubs to address healthcare demand backlogs could have unintended adverse cost effects where these are provided outside existing hospital arrangements. To evaluate this, we investigate the existence and size of economies of scope in English hospital healthcare. DATA: We use cost and activity data from the English NHS, linked to aggregated staff wage information and information taken from hospital financial statements. Cost and activity data was obtained from NHS England's Costing Publications. Wage data was extracted from the NHS's Electronic Staff Record via the NHS England Workforce Statistics Team, and published hospital financial accounts were aggregated and linked together at the organisation level. RESULTS: General Surgery exhibited positive economies of scope when provided alongside other healthcare, as to a lesser extent did General Medicine and Obstetric/Gynaecology healthcare. There was little evidence for economies of scope in Diagnostic and Pathology services, Orthopaedics, or Emergency Care. Few (2/28) output cross-products (cost complementarities) were statistically significant, but Baumol's wider definition of scope economies demonstrates that scope economies are present in some specialties. CONCLUSION: Policymakers seeking to maximise the amount of healthcare provided and minimise the costs of doing so may wish to consider retaining General Surgery, General Medicine and Obstetric/Gynaecology healthcare supply alongside the provision of other clinical specialties. There is limited evidence that reconfiguring supply by centralizing other specialty groups into fewer providers would increase costs.

An ecological comparison to inspect the aftermath of post COVID-19 condition in Italy and the United States.

Post COVID-19 Condition (PCC) is a clinical syndrome following COVID-19 disease. PCC symptoms in adults entail significant productivity loss and reduced quality of life. This study aimed at estimating the epidemiological and economic burden of PCC among the working-age population of Italy and the US. This ecological analysis was conducted on data from January 2020 to April 2023, regarding population aged 18-64. PCC incidence for the US was retrieved from publicly reported estimates, while for Italy it was estimated from COVID-19 cases. Prevalence of factors associated with PCC and parameters to calculate temporary productivity losses (TPL) were retrieved. An estimated incidence rate ratio (eIRR) of PCC incidence in Italy and the US was calculated. TPL for reduced earnings and total quality-adjusted life years (QALYs) lost were also estimated. The ecological eIRR Italy/US was 0.842 [95%CI 0.672-1.015], suggesting that, holding COVID-19 cases constant, 15.8% fewer PCC cases have occurred in Italy compared to the US. Overall PCC cases were found to be 12.0 [95%CI 9.9-14.1] million in the US, with 1.9 [95%CI 1.6-2.3] million QALYs lost, and 2.4 [95%CI 1.8-3.0] million in Italy, with 0.4 [95%CI 0.3-0.5] million QALYs lost. Up to April 2023, the TPL was estimated to be Int$7.5 [95%CI 5.8-10.1] billion in Italy and $41.5 [95%CI 34.3-48.7] billion in the US. PCC has had a significant epidemiological and economic impact on the working-age population. The findings from this study may be of use for health planning and policy regarding PCC in working-age adults.

Health and non-health benefits and equity impacts of individual-level economic relief programs during epidemics/pandemics in high income settings: a scoping review.

BACKGROUND: Economic relief programs are strategies designed to sustain societal welfare and population health during a regional or global scale infectious disease outbreak. While economic relief programmes are considered essential during a regional or global health crisis, there is no clear consensus in the literature about their health and non-health benefits and their impact on promoting equity. METHODS: We conducted a scoping review, searching eight electronic databases from January 01, 2001, to April 3, 2023, using text words and subject headings for recent pathogens (coronavirus (COVID-19), Ebola, Influenza, Middle East Respiratory Syndrome (MERS), severe acute respiratory syndrome (SARS), HIV, West Nile, and Zika), and economic relief programs; but restricted eligibility to high-income countries and selected diseases due to volume. Title and abstract screening were conducted by trained reviewers and Distiller AI software. Data were extracted in duplicates by two trained reviewers using a pretested form, and key findings were charted using a narrative approach. RESULTS: We identified 27,263 de-duplicated records, of which 50 were eligible. Included studies were on COVID-19 and Influenza, published between 2014 and 2023. Zero eligible studies were on MERS, SARS, Zika, Ebola, or West Nile Virus. We identified seven program types of which cash transfer (n = 12) and vaccination or testing incentive (n = 9) were most common. Individual-level economic relief programs were reported to have varying degrees of impact on public health measures, and sometimes affected population health outcomes. Expanding paid sick leave programs had the highest number of studies reporting health-related outcomes and positively impacted public health measures (isolation, vaccination uptake) and health outcomes (case counts and the utilization of healthcare services). Equity impact was most often reported for cash transfer programs and incentive for vaccination programs. Positive effects on general well-being and non-health outcomes included improved mental well-being and quality of life, food security, financial resilience, and job security. CONCLUSIONS: Our findings suggest that individual-level economic relief programs can have significant impacts on public health measures, population health outcomes and equity. As countries prepare for future pandemics, our findings provide evidence to stakeholders to recognize health equity as a fundamental public health goal when designing pandemic preparedness policies.

The impact of COVID-19 on livelihood assets: a case study of high-value crop farmers in North-West Bangladesh.

The COVID-19 pandemic has had a catastrophic impact on public health, extending to the food system and people's livelihoods worldwide, including Bangladesh. This study aimed to ascertain the COVID-19 pandemic impacts on livelihood assets in the North-Western areas (Rajshahi and Rangpur) of Bangladesh. Primary data were collected from 320 farmers engaged in high-value agriculture using a multistage sampling method. The data were analysed using first-order structural equation modelling. The findings reveal a significant impact (p < 0.01) of the pandemic on all livelihood assets in Bangladesh. Notably, human assets exhibited the highest impact, with a coefficient of 0.740, followed sequentially by financial (0.709), social (0.684), natural (0.600), physical (0.542), and psychological (0.537) assets. Government-imposed lockdowns and mobility restrictions were identified as the major causes of the pandemic's negative effects on livelihoods, which included lost income, rising food prices, decreased purchasing power, inadequate access to food and medical supplies, increased social insecurity, and a rise in depression, worry, and anxiety among farmers. The effects of COVID-19 and associated policy measures on the livelihoods of high-value crop farmers have reversed substantial economic and nutritional advances gained over the previous decade. This study suggests attention to the sustainable livelihoods of farmers through direct cash transfer and input incentive programs to minimize their vulnerability to a pandemic like COVID-19 or any other crisis in the future.