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The Subways Seeded the Massive Coronavirus Epidemic in New York City
Harris, Jeffrey E. - 2020
coronavirus infection during the initial takeoff of the massive epidemic that became evident throughout the city during March 2020 … their routes. Maps of subway station turnstile entries, superimposed upon zip code-level maps of reported coronavirus …
Persistent link: https://www.econbiz.de/10012836421
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Covid-19 : Testing Inequality in New York City
Schmitt-Grohé, Stephanie - 2020
Motivated by reports in the media suggesting unequal access to Covid-19 testing across incomes, we analyze zip-code level data on the number of Covid-19 tests, test results, and income per capita in New York City. We find that the number of tests administered is evenly distributed across income...
Persistent link: https://www.econbiz.de/10012836423
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The Subways Seeded the Massive Coronavirus Epidemic in New York City
Harris, Jeffrey E. - 2020
coronavirus infection during the initial takeoff of the massive epidemic that became evident throughout the city during March 2020 …, superimposed upon zip code-level maps of reported coronavirus incidence, are strongly consistent with subway-facilitated disease … "The Coronavirus Epidemic Curve is Already Flattening in New York City.": "https://ssrn.com/abstract=3563985" https …
Persistent link: https://www.econbiz.de/10012837182
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Demographic Determinants of Testing Incidence and Covid-19 Infections in New York City Neighborhoods
Borjas, George J. - 2020
New York City is the hot spot of the COVID-19 pandemic in the United States. This paper merges information on the number of tests and the number of infections at the New York City zip code level with demographic and socioeconomic information from the decennial census and the American Community...
Persistent link: https://www.econbiz.de/10012837197
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The Determinants of the Differential Exposure to COVID-19 in New York City and Their Evolution Over Time
Almagro, Milena - 2020
In this paper, we explore different channels to explain the disparities in COVID-19 incidence across New York City neighborhoods. To do so, we estimate several regression models to assess the statistical relevance of different variables such as neighborhood characteristics and occupations. Our...
Persistent link: https://www.econbiz.de/10012837270
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Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods
Borjas, George J. - 2020
New York City is the hot spot of the COVID-19 pandemic in the United States. This paper merges information on the number of tests and the number of infections at the New York City zip code level with demographic and socioeconomic information from the decennial census and the American Community...
Persistent link: https://www.econbiz.de/10012837327
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Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods
Borjas, George J. - 2020
New York City is the hot spot of the COVID-19 pandemic in the United States. This paper merges information on the number of tests and the number of infections at the New York City zip code level with demographic and socioeconomic information from the decennial census and the American Community...
Persistent link: https://www.econbiz.de/10012837438
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The Coronavirus Epidemic Curve is Already Flattening in New York City
Harris, Jeffrey E. - 2020
New York City has been rightly characterized as the epicenter of the coronavirus pandemic in the United States. Just … one month after the first cases of coronavirus infection were reported in the city, the burden of infected individuals …
Persistent link: https://www.econbiz.de/10012837810
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Racial Disparities in Frontline Workers and Housing Crowding During COVID-19 : Evidence from Geolocation Data
Almagro, Milena - 2020
We document that racial disparities in COVID-19 in New York City stem from patterns of commuting and housing crowding. During the initial wave of the pandemic, out- of-home activity related to commuting is strongly associated with COVID-19 cases at the ZIP Code level and hospitalization at an...
Persistent link: https://www.econbiz.de/10012822893
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Pandemic Control in Econ-Epi Networks
Azzimonti, Marina - 2020
We develop an ECON-EPI network model to evaluate policies designed to improve health and economic outcomes during a pandemic. Relative to the standard epidemiological SIR set-up, we explicitly model social contacts among individuals and allow for heterogeneity in their number and stability. In...
Persistent link: https://www.econbiz.de/10012824282