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The Macroeconomics of Epidemics

TLDR
In this article, the authors extend the canonical epidemiology model to study the interaction between economic decisions and epidemics, and they show that people's decision to cut back on consumption and work reduces the severity of the epidemic, as measured by total deaths.
Abstract
We extend the canonical epidemiology model to study the interaction between economic decisions and epidemics. Our model implies that people’s decision to cut back on consumption and work reduces the severity of the epidemic, as measured by total deaths. These decisions exacerbate the size of the recession caused by the epidemic. The competitive equilibrium is not socially optimal because infected people do not fully internalize the effect of their economic decisions on the spread of the virus. In our benchmark model, the best simple containment policy increases the severity of the recession but saves roughly half a million lives in the U.S.

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COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach

TL;DR: In this article, the authors analyzed the connectedness between the recent spread of COVID-19, oil price volatility shock, the stock market, geopolitical risk and economic policy uncertainty in the US within a time-frequency framework.
ReportDOI

COVID-induced economic uncertainty

TL;DR: In this article, the authors identify three indicators (i.e., stock market volatility, newspaper-based economic uncertainty, and subjective uncertainty in business expectation surveys) that provide real-time forward-looking uncertainty measures.
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Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?

TL;DR: In this article, the authors present a theory of Keynesian supply shocks: supply shocks that trigger changes in aggregate demand larger than the shocks themselves, and argue that the economic shocks associated to the COVID-19 epidemic may have this feature.
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Economic Uncertainty Before and During the COVID-19 Pandemic.

TL;DR: This work considers several economic uncertainty indicators for the US and UK before and during the COVID-19 pandemic, finding that all indicators show huge uncertainty jumps in reaction to the pandemic and its economic fallout, and most indicators reach their highest values on record.
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The impact of COVID-19 on emerging stock markets.

TL;DR: Findings reveal that the negative impact of pandemic on emerging stock markets has gradually fallen and begun to taper off by mid-April, and that response time and the size of stimulus package by the governments matter in offsetting the effects of the pandemic.
References
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A contribution to the mathematical theory of epidemics

TL;DR: In this article, the authors considered the problem of finding a causal factor which appears to be adequate to account for the magnitude of the frequent epidemics of disease which visit almost every population.

A Contribution to the Mathematical Theory of Epidemics.

TL;DR: The present communication discussion will be limited to the case in which all members of the community are initially equally susceptible to the disease, and it will be further assumed that complete immunity is conferred by a single infection.
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Detecting influenza epidemics using search engine query data

TL;DR: A method of analysing large numbers of Google search queries to track influenza-like illness in a population and accurately estimate the current level of weekly influenza activity in each region of the United States with a reporting lag of about one day is presented.
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Strategies for mitigating an influenza pandemic

TL;DR: It is found that border restrictions and/or internal travel restrictions are unlikely to delay spread by more than 2–3 weeks unless more than 99% effective, and vaccine stockpiled in advance of a pandemic could significantly reduce attack rates even if of low efficacy.
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