Preprint
8 June 2020
Djurovic, Gordana,Djurovic, Vasilije,Bojaj, Martin M
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The outbreak of COVID-19 has faced the globe with economic upheaval. The research problem of this paper focuses on examining, diagnosing, and assessing appropriate macroprudential policy response of the Montenegrin government to the evolution of the pandemic disease. We explore three economic scenarios – shocks – of how the pandemic disease might impact the economy of Montenegro in the dawn of entering the European Union. We forecast a sustainable GDP growth model from January 2006 until December 2017. Deterministic-static simulation solution model – the baseline – is employed, adding sensitivity scenarios – shocks – from January 2018 until Jun 2018, respectively, from -10% until -60%. Thus, we observe what happens to GDP, capital stock, human capital, and employment. The model measures econometrically the macroeconomic costs, using Bayesian VAR independent Normal-Wishart...
Letter
6 June 2020
Kabir, Mahvish,Saqib, Muhammad Arif Nadeem,Zaid, Muhammad,Ahmed, Haroon,Afzal, Muhammad Sohail
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Dear EditorRecently it has been highlighted by ESPEN Council that the COVID-19 pandemic is posing unprecedented challenges worldwide. There is significant correlation between age and poly-morbidity and these factors are independently associated with malnutrition and its negative impact on patient survival [1]. The COVID-19 outbreak has shattered the world’s economic giants with an estimated loss of $1 trillion during year 2020. This economic dent could have drastic effects on people living in extreme poverty [2]. As in year 2019 top donor countries of humanitarian aid and world food program were United States of America (USA), Germany, United Kingdom, and European Commission respectively (Fig. 1
). Unfortunately these countries were badly hit by the COVID-19 pandemic costing approximately 65, 000 lives so far [3]. As a result, economies of these countries are badly shattered and...
Preprint
5 June 2020
Khanijahani, Ahmad
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Objectives. The objective of this study was to investigate potential county-level disparities among racial/ethnic and economic groups in COVID-19 burden which was measured using confirmed cases and deaths in 100,000 population. Design. Secondary data analysis Using county-level data for 3,142 US counties was conducted in 2020. Hierarchical linear regression and concentration curve analyses were performed. The combined association of COVID-19 cases and deaths was examined separately by sociodemographic and economic characteristics of the county population. Data from the American Community Survey (ACS) 5-year estimates (2014-2018), Area Health Resources File (AHRF) 2018-2019, and 2020 COVID-19 data from Johns Hopkins University were used in this study. Results. After adjusting for covariates, US counties with a higher proportion of the black population, and a higher proportion of...
Preprint
4 June 2020
Aung, Myo Nyein,Koyanagi, Yuka,Yuasa, Motoyuki
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Background: New corona virus outbreak originated in Wuhan, China, started in January 2020 is escalating as pandemic across the globe in March 2020. It causes unprecedented morbidity, shocked health systems and the supply chains in new epicenters such as Italy, Spain and the US., claiming thousands of lives. Meanwhile, the pandemic is reaching swiftly and silently, to low-income countries where international medias cover less. How likely health outcomes among the countries with different economies may differ during the pandemic has not been reported yet.Method: We conducted analysis of COVID-19 deaths comparing case fatality rate (CRF) among countries with different income categories, applying COVID-19 global data from European Centre for Disease Control including 199 countries’ data as of 31 March 2020, in the early phase of pandemic. We categorized countries into high income...
Preprint
3 June 2020
Reed, Shelby,Gonzalez, Juan Marcos,Johnson, Reed
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We designed a discrete-choice experiment to quantify the extent to which US adults would accept greater risk of infection with SARS-CoV-2 in return for lifting social-distancing restrictions and diminishing the economic impact of the COVID-19 pandemic. 5953 adults recruited from a SurveyHealthcareGlobus internet panel, representing all 50 states, had 4 distinctly different preference patterns. About 37% were risk minimizers reluctant to accept any increases in risk of contracting the virus. Another group (26%) was primarily concerned about time required for economic recovery, accepting increases in COVID-19 risk levels up to 16% to shorten recovery from 3 to 2 years. The remaining two groups diverged on the relative importance of reopening nonessential businesses. The larger group (26%) strongly preferred delaying reopening while the smaller group (13%) would accept COVID-19 risks...
Working Paper
1 June 2020
Assa, Jacob,Calderon, Cecilia
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The outbreak of coronavirus and the infectious disease it causes (COVID-19) have taken different paths around the world, with countries experiencing different rates of infection, case prevalence and mortality. This simultaneous yet heterogenous process presents a natural experiment for understanding some of the reasons for such different experiences of the same shock. This paper looks at the privatization of healthcare as one key determinant of this pattern. We use a cross-section dataset covering 147 countries with the latest available data. Controlling for per capita income, health inequality and several other control variables, we find that a 10% increase in private health expenditure relates to 4.3% increase in COVID-19 cases and a 4.9% increase in COVID-19 related mortality. Globalization also has a small positive effect on COVID-19 prevalence, while higher hospital capacity (in...
Working Paper
1 June 2020
Jianhong Liu, Sanjeev Gupta
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The global impact of COVID-19 pandemic on output and public finances in 2020 and beyond is projected to be massive. Fiscal policy has a crucial role in mitigating the pandemic’s over
Journal Article
31 May 2020
Schwendicke, Falk,Krois, Joachim,Gomez, Jesus
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To combat SARS-CoV2 (Covid-19), policy makers worldwide have adopted different policy alternatives, often including mitigation/suppression policies. We assessed the economic impact of such policies on dental practices in Germany using a modelling approach. A providers’ perspective within German healthcare was taken, with two provider scenarios (low/high volume practice, low/high proportion of non-statutory insurance revenue, low/high staff pool and costs; S1 and S2 scenarios) being modelled. Providers’ costs were estimated in different blocks (staff, material, laboratory, others). A telephone-based survey was conducted on 24th March to 2nd April 2020 on a random sample of 300 German dentists (response: n = 146) to determine the experienced dental services utilization changes in these service blocks. A Markov model was constructed, following 100 practices in each scenario for a total...
Preprint
30 May 2020
Degeling, Koen,Baxter, Nancy N,Emery, Jon,Franchini, Fanny,Gibbs, Peter,Bruce Mann, G,Mcarthur, Grant,Solomon, Benjamin J,Ijzerman, Maarten J
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Background: Decreased cancer incidence and reported changes to clinical management indicate that the COVID-19 pandemic will result in diagnostic and treatment delays for cancer patients. We aimed to develop a flexible model to estimate the impact of delayed diagnosis and treatment initiation on survival outcomes and healthcare costs based on a shift in the disease stage at treatment initiation. Methods: The stage-shift model estimates population-level health economic outcomes by weighting disease stage-specific outcomes by the distribution of stages at treatment initiation, assuming delays lead to stage-progression. It allows for extrapolation of population-level survival data using parametric distributions to calculate the expected survival in life years. The model was demonstrated based on an analysis of the impact of 3 and 6-month delays for stage I breast cancer, colorectal...
Brief
30 May 2020
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The outbreak of coronavirus and the infectious disease it causes (COVID-19) have taken different paths around the world, with countries experiencing different rates of infection, case prevalence and mortality. This simultaneous yet heterogenous process presents a natural experiment for understanding some of the reasons for such different experiences of the same shock. This paper looks at the privatization of healthcare as one key determinant of this pattern. We use a cross-section dataset covering 147 countries with the latest available data. Controlling for per capita income, health inequality and several other control variables, we find that a 10% increase in private health expenditure relates to a 4.3% increase in COVID-19 cases and a 4.9% increase in COVID-19 related mortality. Globalization also has a small positive effect on COVID-19 prevalence, while higher hospital capacity...