The Cost of Privacy: Welfare Effects of the Disclosure of COVID-19 Cases

Argente, David; Hsieh, Chang-Tai; Lee, Munseob

doi:10.3386/w27220

Cited by 30 publications

(13 citation statements)

References 7 publications

(8 reference statements)

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“…4 Models of rational agents limiting contacts to reduce the risk of infection include Fenichel (2013) Weitz et al (2020) in epidemiology (see also Funk et al (2010) and Verelst et al (2016) for surveys); and Geoffard and Philipson (1996), Goenka and Liu (2012), Acemoglu et al (2020), Aguirregabiria et al (2020), Argente et al (2020), Bethune and Korinek (2020), Farboodi et al (2020), Fernandez-Villaverde and Jones (2020), Greenwood et al (2019), Keppo et al (2020), Toxvaerd (2020) (as well as several of the papers cited in Footnote 2, modeling spatial extensions of SIR) in economics. Empirically, several papers use cellular phone data to document how fear of contagion has affected mobility or show that the economy deteriorated substantially even before or independently of lockdown orders.…”

Section: State Transitionsmentioning

confidence: 99%

Spatial-SIR with Network Structure and Behavior: Lockdown Rules and the Lucas Critique

Bisin¹,

Moro²

2021

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Section: State Transitionsmentioning

confidence: 99%

Spatial-SIR with Network Structure and Behavior: Lockdown Rules and the Lucas Critique

Bisin¹,

Moro²

2021

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“…Interestingly, a study conducted in South Korea has used a unique model of epidemiology to study the dynamics of the pandemic by using SIR model (S, susceptible; I, infectious; R, recovered). They concluded that Public information disclosure targeting SARS-CoV-2 positive cases were more effective in limiting transmission than lockdowns in the region with 50 percent lower economic losses [174]. Similarly, strict lock down and qurantine policy should be revised as there are further studies demonstrating high percentage of asymptomatic individuals.…”

Section: Asymtpomatic Transmission From Human To Human the Asymptomatic Fraction Self-limiting Course: Influenza In Contextmentioning

confidence: 99%

Factors affecting SARS-CoV-2 (COVID-19) Pandemic, including Zoonotic, Human Transmission and Chain of Infection. Reducing Public health Risk by Serum Antibody Testing, Avoiding Screening in Unhygienic Places and False PCR Reporting. A Scientific Review

Aziz¹,

Othman²,

Alqahtani³

et al. 2021

Iberoam J Med

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During December 2019, a rapid increase in the number of SARS-CoV-2 (COVID-19) cases was reported worldwide. We investigated several factors for rapid increase in SARS-COV-2. Genomic sequence reveals that domestic and wild animals were likely ancestors and zoonotic source for SARS-CoVs, MERS-CoVs, and SARS-CoV-2; these viruses replicated in animals and humans during past several decades, exhibiting diverse mutations and self-limiting diseases except during outbreaks. SARS-CoV-2 has been retrospectively isolated in different studies in August 2019, several months before Wuhan reported. Hence, there is a possibility that viruses went undetected and infecting sub-clinically, in past several years, and SARS-CoV-2 antigens and neutralizing antibodies may have been present in humans since years. All SARS-CoVs are basically respiratory viruses, spread by droplets, hence droplet precautions are essential. Furthermore, silent phase of transmission (asymptomatic/subclinical) can be beneficial for humans. Lack of symptoms eventually lessen virus transmission and reduce the pathogen's long-term survival and provide strong humoral herd immunity (with sropositivity and diverse antibodies) up to several years and during epidemics. RT-PCR has low sensitivity and specificity, carries a high risk of handling live virus antigens, and requires difficult protocols. As viral load also sharply declines after few days of onset of infection, this technique might overlook infection. Furthermore, SARS-CoV-2 infection may be present in blood when oropharyngeal swabs are negative by RT-PCR. Conversely, antibodies against SARS-CoVs develop robustly in by reduced amount of antigens and ELISA for diagnosing antibodies demonstrates 100% specificity and 100% sensitivity, even in clinically asymptomatic individuals. These antibodies can be used for serologic surveys, monitoring and screening. Furthermore, screening tests for SARS-COV-2 should be avoided in unhygienic public places by nasopharyngeal swabs, which carry a high risk of further transmission, co-infection or super-infection. If above mentioned factors and Infection control policy is followed, SARS-CoV-2 pandemic can be controlled effectively.

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“…This has stimulated a rapidly growing body of literature on the economics of the pandemic, integrating basic epidemiological models with dynamic optimisation tools from economics (Bethune & Korinek, 2020;Dasaratha, 2020;Pindyck, 2020). In line with this recent trend, several scholars have extended the classic Susceptible-Infected-Recovered (SIR) model, which is presented as a system of ordinary differential equations (ODE), to study the interaction between economic decisions and the pandemic dynamics of the COVID-19 outbreak (Acemoglu et al, 2020;Alfaro et al, 2020;Argente et al, 2020;Bethune & Korinek, 2020;Bodenstein et al, 2020;Dasaratha, 2020;Fern andez-Villaverde & Jones, 2020;Krueger et al, 2020;Pindyck, 2020;Quaas, 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal influence of Non-Pharmaceutical interventions policies on pandemic dynamics and the economy: the case of COVID-19

Lazebnik

Shami

Bunimovich‐Mendrazitsky

2021

Economic Research-Ekonomska Istraživanja

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We have developed an extended mathematical graph-based spatial-temporal SIR model, allowing a multidimensional analysis of the impact of non-pharmaceutical interventions on the pandemic spread, while assessing the economic losses caused by it. By incorporating into the model dynamics that are a consequence of the interrelationship between the pandemic and the economic crisis, such as job separation not as a result of workers' morbidity, analysis were enriched. Controlling the spread of the pandemic and preventing outbreaks have been investigated using two NPIs: the duration of working and school days and lockdown to varying degrees among the adult and children populations. Based on the proposed model and data from the Israeli economy, allowing 7.5 working hours alongside 4.5 school hours would maximise output and prevent an outbreak, while minimising the death toll (0.48% of the population). Alternatively, an 89% lockdown among children and a 63% lockdown among adults will minimise the death toll (0.21%) while maximising output and preventing outbreaks.

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The Cost of Privacy: Welfare Effects of the Disclosure of COVID-19 Cases

Cited by 30 publications

References 7 publications

Spatial-SIR with Network Structure and Behavior: Lockdown Rules and the Lucas Critique

Spatial-SIR with Network Structure and Behavior: Lockdown Rules and the Lucas Critique

Factors affecting SARS-CoV-2 (COVID-19) Pandemic, including Zoonotic, Human Transmission and Chain of Infection. Reducing Public health Risk by Serum Antibody Testing, Avoiding Screening in Unhygienic Places and False PCR Reporting. A Scientific Review

Spatio-Temporal influence of Non-Pharmaceutical interventions policies on pandemic dynamics and the economy: the case of COVID-19

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