The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015
The most severe impact of the Ebola epidemic, which began in Guinea in December 2013 and quickly spread to Liberia and Sierra Leone, has been in lost human lives and suffering. This report, prepared for the World Economic Forum at Davos, focuses on...
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okr-10986-213032021-04-23T14:04:01Z The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015 World Bank Group ACCOUNTING CAPITALS CONTAGION DIAGNOSIS DISEASE EBOLA ECONOMIC GROWTH EMPLOYMENT EPIDEMIC EPIDEMICS FAMILY MEMBERS FOOD INSECURITY FOOD SECURITY FORECASTS FOREIGN DIRECT INVESTMENT GLOBAL DEVELOPMENT GROSS DOMESTIC PRODUCT HEALTH SERVICES HEALTH SYSTEM HEALTH SYSTEMS HOUSEHOLD INCOME ILLNESS INDIVIDUAL CHOICES INFECTION INFLOW OF REMITTANCES INTERNATIONAL BORDERS INTERVIEWS JOB CREATION LABOR SUPPLY MACROECONOMICS MEDICAL NEEDS MODELING NATURAL DISASTERS NUMBER OF WOMEN PANDEMIC PANDEMIC PREPAREDNESS PATIENTS POLICY RESPONSE PREVENTION EFFORTS PROGRESS PUBLIC HEALTH PUBLIC POLICY RESEARCHERS RESTAURANTS RISK OF TRANSMISSION SCENARIO SCENARIOS SIMULATION SIMULATIONS SUPPLY CHAINS SURVEY DATA TRANSACTION COSTS TRANSMISSION RATES TREATMENT URBAN AREAS VIRUS WORLD HEALTH ORGANIZATION The most severe impact of the Ebola epidemic, which began in Guinea in December 2013 and quickly spread to Liberia and Sierra Leone, has been in lost human lives and suffering. This report, prepared for the World Economic Forum at Davos, focuses on the indirect, economic costs, in particular the effects on economic output in 2015. Most of the economic cost is driven by aversion behavior, which consists of both the actions taken by individuals to avoid exposure to the illness and actions taken by investors in anticipation of those individual choices. The report first estimates the impact of the epidemic on gross domestic product (GDP) in Guinea, Liberia, and Sierra Leone. Here the report builds on sector-specific analysis to update World Bank forecasts for the three countries, and incorporates recent results of World Bank-financed cellphone surveys in Liberia and Sierra Leone. The authors evaluate the economic effects of the epidemic on the continent, beyond the three hardest-hit countries, using assessments by World Bank country economists across the 48 countries of sub-Saharan Africa. Finally, the report updates estimates from the global economic model of the research arm of the World Bank, to quantify the 2015 impact of the potential spread of the epidemic to other countries. Updated general equilibrium analysis suggests that further spread of the epidemic to other African economies, if the epidemic is not contained and instances of infection continue to occur in other countries, can potentially exact an economic toll of the order of 6 billion dollars. The results underscore the importance of: (a) Ebola and broader pandemic preparedness in African countries; and (b) reaching the goal of zero new cases as soon as possible in the three most affected countries. 2015-01-20T20:52:37Z 2015-01-20T20:52:37Z 2015-01-20 http://documents.worldbank.org/curated/en/2015/01/23831803/economic-impact-ebola-sub-saharan-africa-updated-estimates-2015 http://hdl.handle.net/10986/21303 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ Washington, DC Publications & Research :: Working Paper Publications & Research Africa West Africa Sub-Saharan Africa Guinea Liberia Sierra Leone |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English en_US |
topic |
ACCOUNTING CAPITALS CONTAGION DIAGNOSIS DISEASE EBOLA ECONOMIC GROWTH EMPLOYMENT EPIDEMIC EPIDEMICS FAMILY MEMBERS FOOD INSECURITY FOOD SECURITY FORECASTS FOREIGN DIRECT INVESTMENT GLOBAL DEVELOPMENT GROSS DOMESTIC PRODUCT HEALTH SERVICES HEALTH SYSTEM HEALTH SYSTEMS HOUSEHOLD INCOME ILLNESS INDIVIDUAL CHOICES INFECTION INFLOW OF REMITTANCES INTERNATIONAL BORDERS INTERVIEWS JOB CREATION LABOR SUPPLY MACROECONOMICS MEDICAL NEEDS MODELING NATURAL DISASTERS NUMBER OF WOMEN PANDEMIC PANDEMIC PREPAREDNESS PATIENTS POLICY RESPONSE PREVENTION EFFORTS PROGRESS PUBLIC HEALTH PUBLIC POLICY RESEARCHERS RESTAURANTS RISK OF TRANSMISSION SCENARIO SCENARIOS SIMULATION SIMULATIONS SUPPLY CHAINS SURVEY DATA TRANSACTION COSTS TRANSMISSION RATES TREATMENT URBAN AREAS VIRUS WORLD HEALTH ORGANIZATION |
spellingShingle |
ACCOUNTING CAPITALS CONTAGION DIAGNOSIS DISEASE EBOLA ECONOMIC GROWTH EMPLOYMENT EPIDEMIC EPIDEMICS FAMILY MEMBERS FOOD INSECURITY FOOD SECURITY FORECASTS FOREIGN DIRECT INVESTMENT GLOBAL DEVELOPMENT GROSS DOMESTIC PRODUCT HEALTH SERVICES HEALTH SYSTEM HEALTH SYSTEMS HOUSEHOLD INCOME ILLNESS INDIVIDUAL CHOICES INFECTION INFLOW OF REMITTANCES INTERNATIONAL BORDERS INTERVIEWS JOB CREATION LABOR SUPPLY MACROECONOMICS MEDICAL NEEDS MODELING NATURAL DISASTERS NUMBER OF WOMEN PANDEMIC PANDEMIC PREPAREDNESS PATIENTS POLICY RESPONSE PREVENTION EFFORTS PROGRESS PUBLIC HEALTH PUBLIC POLICY RESEARCHERS RESTAURANTS RISK OF TRANSMISSION SCENARIO SCENARIOS SIMULATION SIMULATIONS SUPPLY CHAINS SURVEY DATA TRANSACTION COSTS TRANSMISSION RATES TREATMENT URBAN AREAS VIRUS WORLD HEALTH ORGANIZATION World Bank Group The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015 |
geographic_facet |
Africa West Africa Sub-Saharan Africa Guinea Liberia Sierra Leone |
description |
The most severe impact of the Ebola
epidemic, which began in Guinea in December 2013 and quickly
spread to Liberia and Sierra Leone, has been in lost human
lives and suffering. This report, prepared for the World
Economic Forum at Davos, focuses on the indirect, economic
costs, in particular the effects on economic output in 2015.
Most of the economic cost is driven by aversion behavior,
which consists of both the actions taken by individuals to
avoid exposure to the illness and actions taken by investors
in anticipation of those individual choices. The report
first estimates the impact of the epidemic on gross domestic
product (GDP) in Guinea, Liberia, and Sierra Leone. Here the
report builds on sector-specific analysis to update World
Bank forecasts for the three countries, and incorporates
recent results of World Bank-financed cellphone surveys in
Liberia and Sierra Leone. The authors evaluate the economic
effects of the epidemic on the continent, beyond the three
hardest-hit countries, using assessments by World Bank
country economists across the 48 countries of sub-Saharan
Africa. Finally, the report updates estimates from the
global economic model of the research arm of the World Bank,
to quantify the 2015 impact of the potential spread of the
epidemic to other countries. Updated general equilibrium
analysis suggests that further spread of the epidemic to
other African economies, if the epidemic is not contained
and instances of infection continue to occur in other
countries, can potentially exact an economic toll of the
order of 6 billion dollars. The results underscore the
importance of: (a) Ebola and broader pandemic preparedness
in African countries; and (b) reaching the goal of zero new
cases as soon as possible in the three most affected countries. |
format |
Publications & Research :: Working Paper |
author |
World Bank Group |
author_facet |
World Bank Group |
author_sort |
World Bank Group |
title |
The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015 |
title_short |
The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015 |
title_full |
The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015 |
title_fullStr |
The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015 |
title_full_unstemmed |
The Economic Impact of Ebola on Sub-Saharan Africa : Updated Estimates for 2015 |
title_sort |
economic impact of ebola on sub-saharan africa : updated estimates for 2015 |
publisher |
Washington, DC |
publishDate |
2015 |
url |
http://documents.worldbank.org/curated/en/2015/01/23831803/economic-impact-ebola-sub-saharan-africa-updated-estimates-2015 http://hdl.handle.net/10986/21303 |
_version_ |
1764447878945701888 |