Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots

Today, over 4 billion people around the world—more than half the global population—live in cities. By 2050, with the urban population more than doubling its current size, nearly 7 of 10 people in the world will live in cities. Evidence from today&#...

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Main Authors: Bhardwaj, Gaurav, Esch, Thomas, Lall, Somik V., Marconcini, Mattia, Soppelsa, Maria Edisa, Wahba, Sameh
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2020
Subjects:
Online Access:http://documents.worldbank.org/curated/en/206541587590439082/Cities-Crowding-and-the-Coronavirus-Predicting-Contagion-Risk-Hotspots
http://hdl.handle.net/10986/33648
id okr-10986-33648
recordtype oai_dc
spelling okr-10986-336482021-05-25T09:36:20Z Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots Bhardwaj, Gaurav Esch, Thomas Lall, Somik V. Marconcini, Mattia Soppelsa, Maria Edisa Wahba, Sameh CORONAVIRUS COVID-19 PANDEMIC RESPONSE CROWDING PREDICTING CONTAGION URBAN HEALTH MUMBAI HOTSPOTS KINSHASA CAIRO POPULATION DENSITY Today, over 4 billion people around the world—more than half the global population—live in cities. By 2050, with the urban population more than doubling its current size, nearly 7 of 10 people in the world will live in cities. Evidence from today's developed countries and rapidly emerging economies shows that urbanization and the development of cities is a source of dynamism that can lead to enhanced productivity. In fact, no country in the industrial age has ever achieved significant economic growth without urbanization. The underlying driver of this dynamism is the ability of cities to bring people together. Social and economic interactions are the hallmark of city life, making people more productive and often creating a vibrant market for innovations by entrepreneurs and investors. International evidence suggests that the elasticity of income per capita with respect to city population is between 3 percent and 8 percent (Rosenthal & Strange 2003). Each doubling of city size raises its productivity by 5 percent. But the coronavirus pandemic is now seriously limiting social interactions. With no vaccine available, prevention through containment and social distancing, along with frequent handwashing, appear to be, for now, the only viable strategies against the virus. The goal is to slow transmission and avoid overwhelming health systems that have finite resources. Hence non-essential businesses have been closed and social distancing measures, including lockdowns, are being applied in many countries. Will such measures defeat the virus in dense urban areas? In principle, yes. Wealthier people in dense neighborhoods can isolate themselves while having amenities and groceries delivered to them. Many can connect remotely to work, and some can even afford to live without working for a time. But poorer residents of crowded neighborhoods cannot afford such luxuries. They are forced to leave their home every day to go to work, buy groceries, and do laundry. This is especially true in low-income neighborhoods of developing countries – many of which are slums and informal settlements. In fact, 60 percent of Africa’s urban population is packed into slums - a far larger share than the average 34 percent seen in other developing countries (United Nations 2015). With people tightly packed together, the resulting crowding increases contagion risk from the coronavirus. 2020-04-24T16:26:43Z 2020-04-24T16:26:43Z 2020-04-21 Working Paper http://documents.worldbank.org/curated/en/206541587590439082/Cities-Crowding-and-the-Coronavirus-Predicting-Contagion-Risk-Hotspots http://hdl.handle.net/10986/33648 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper Africa Middle East and North Africa South Asia Congo, Democratic Republic of Egypt, Arab Republic of India
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic CORONAVIRUS
COVID-19
PANDEMIC RESPONSE
CROWDING
PREDICTING CONTAGION
URBAN HEALTH
MUMBAI
HOTSPOTS
KINSHASA
CAIRO
POPULATION DENSITY
spellingShingle CORONAVIRUS
COVID-19
PANDEMIC RESPONSE
CROWDING
PREDICTING CONTAGION
URBAN HEALTH
MUMBAI
HOTSPOTS
KINSHASA
CAIRO
POPULATION DENSITY
Bhardwaj, Gaurav
Esch, Thomas
Lall, Somik V.
Marconcini, Mattia
Soppelsa, Maria Edisa
Wahba, Sameh
Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots
geographic_facet Africa
Middle East and North Africa
South Asia
Congo, Democratic Republic of
Egypt, Arab Republic of
India
description Today, over 4 billion people around the world—more than half the global population—live in cities. By 2050, with the urban population more than doubling its current size, nearly 7 of 10 people in the world will live in cities. Evidence from today's developed countries and rapidly emerging economies shows that urbanization and the development of cities is a source of dynamism that can lead to enhanced productivity. In fact, no country in the industrial age has ever achieved significant economic growth without urbanization. The underlying driver of this dynamism is the ability of cities to bring people together. Social and economic interactions are the hallmark of city life, making people more productive and often creating a vibrant market for innovations by entrepreneurs and investors. International evidence suggests that the elasticity of income per capita with respect to city population is between 3 percent and 8 percent (Rosenthal & Strange 2003). Each doubling of city size raises its productivity by 5 percent. But the coronavirus pandemic is now seriously limiting social interactions. With no vaccine available, prevention through containment and social distancing, along with frequent handwashing, appear to be, for now, the only viable strategies against the virus. The goal is to slow transmission and avoid overwhelming health systems that have finite resources. Hence non-essential businesses have been closed and social distancing measures, including lockdowns, are being applied in many countries. Will such measures defeat the virus in dense urban areas? In principle, yes. Wealthier people in dense neighborhoods can isolate themselves while having amenities and groceries delivered to them. Many can connect remotely to work, and some can even afford to live without working for a time. But poorer residents of crowded neighborhoods cannot afford such luxuries. They are forced to leave their home every day to go to work, buy groceries, and do laundry. This is especially true in low-income neighborhoods of developing countries – many of which are slums and informal settlements. In fact, 60 percent of Africa’s urban population is packed into slums - a far larger share than the average 34 percent seen in other developing countries (United Nations 2015). With people tightly packed together, the resulting crowding increases contagion risk from the coronavirus.
format Working Paper
author Bhardwaj, Gaurav
Esch, Thomas
Lall, Somik V.
Marconcini, Mattia
Soppelsa, Maria Edisa
Wahba, Sameh
author_facet Bhardwaj, Gaurav
Esch, Thomas
Lall, Somik V.
Marconcini, Mattia
Soppelsa, Maria Edisa
Wahba, Sameh
author_sort Bhardwaj, Gaurav
title Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots
title_short Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots
title_full Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots
title_fullStr Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots
title_full_unstemmed Cities, Crowding, and the Coronavirus : Predicting Contagion Risk Hotspots
title_sort cities, crowding, and the coronavirus : predicting contagion risk hotspots
publisher World Bank, Washington, DC
publishDate 2020
url http://documents.worldbank.org/curated/en/206541587590439082/Cities-Crowding-and-the-Coronavirus-Predicting-Contagion-Risk-Hotspots
http://hdl.handle.net/10986/33648
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