Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey
The Ebola pandemic has been one of the most virulent pandemics in modern times. By the end of 2015, the epidemic had cost the lives of more than 11,300 people in Guinea, Liberia, and Sierra Leone, including more than 500 frontline health care worke...
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| Format: | Report |
| Language: | English en_US |
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World Bank, Washington, DC
2016
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| Online Access: | http://documents.worldbank.org/curated/en/2016/05/26443853/ http://hdl.handle.net/10986/24724 |
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okr-10986-24724 |
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oai_dc |
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Digital Repository |
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Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
PER CAPITA CONSUMPTION BIRTH COMMUNITIES POVERTY POVERTY RISKS HOUSEHOLD SIZE HOUSEHOLD SURVEY TREATMENT POVERTY LINE ECONOMIC GROWTH PEOPLE EBOLA VIRUS FOOD CONSUMPTION INCOME PREVENTION POVERTY RATES AGRICULTURAL PRODUCTION ADMINISTRATIVE REGIONS COUNTERFACTUAL SERVICES HEALTH CARE HOUSING PREVALENCE NEIGHBORHOOD RURAL INCOMES EFFECTS HEALTH POOR PEOPLE EPIDEMIC EATING HABITS PROJECTS PROJECT NEIGHBORHOODS VIRUS INFECTION NATIONAL LEVEL CAPITA CONSUMPTION MEASURES DANGERS PUBLIC HEALTH SAFETY NETS POVERTY REDUCTION CONTAGION KNOWLEDGE MACROECONOMIC STABILITY COST EFFECTIVENESS LABOR MARKET POPULATION CENSUS RURAL HOUSEHOLDS TRAINING LIFE PATIENTS DWELLING POVERTY GAP MOBILITY POVERTY INCIDENCE MIGRATION TRANSFERS INHABITANTS NATURAL DISASTERS OBSERVATION VIOLENCE INDIVIDUAL CHARACTERISTICS MARKETS POOR INDIVIDUALS EXPLANATORY VARIABLES AVERAGE PER CAPITA CONSUMPTION DISASTERS HOUSEHOLD SURVEYS EMERGENCY RESPONSE FARMERS MIGRANTS INTERVIEW EPIDEMICS CASH TRANSFERS MORTALITY DESIGN DISEASE OUTBREAKS UNEMPLOYMENT DIET HOUSEHOLD LEVEL SOCIAL SAFETY NETS FOOD SECURITY WORKERS AGED PANDEMICS PARTICIPATION RURAL AREA GENDER DIARRHEA OCCUPATION URBAN AREAS HOUSEHOLD AGRICULTURAL SECTOR STD EMPLOYMENT STATUS MEDICAL SUPPLIES STRESS MALNUTRITION RURAL REFUGEES MARKET WORKSHOPS MALARIA POVERTY SEVERITY QUALITY CONTROL QUALITY OF LIFE INTERNET SEX VIRUS CHILDREN POVERTY SITUATION FOOD INTAKE DISEASE CLINICS WORKING CONDITIONS TRADITIONAL HOUSEHOLD SURVEYS HOUSEHOLDS RURAL AREAS POVERTY POOR FARMERS INFECTION ALL FACILITIES LIVING CONDITIONS RESEARCH METHODS HOUSEHOLD WELFARE INTERVENTIONS POVERTY RATE COMMUNITY POOR STRATEGY FAMILIES EBOLA FOOD PRICES HOSPITALS LABOR MARKETS ILLNESSES SAFETY FEMALE IMPLEMENTATION CONTAMINATION INEQUALITY POOR HOUSEHOLDS |
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PER CAPITA CONSUMPTION BIRTH COMMUNITIES POVERTY POVERTY RISKS HOUSEHOLD SIZE HOUSEHOLD SURVEY TREATMENT POVERTY LINE ECONOMIC GROWTH PEOPLE EBOLA VIRUS FOOD CONSUMPTION INCOME PREVENTION POVERTY RATES AGRICULTURAL PRODUCTION ADMINISTRATIVE REGIONS COUNTERFACTUAL SERVICES HEALTH CARE HOUSING PREVALENCE NEIGHBORHOOD RURAL INCOMES EFFECTS HEALTH POOR PEOPLE EPIDEMIC EATING HABITS PROJECTS PROJECT NEIGHBORHOODS VIRUS INFECTION NATIONAL LEVEL CAPITA CONSUMPTION MEASURES DANGERS PUBLIC HEALTH SAFETY NETS POVERTY REDUCTION CONTAGION KNOWLEDGE MACROECONOMIC STABILITY COST EFFECTIVENESS LABOR MARKET POPULATION CENSUS RURAL HOUSEHOLDS TRAINING LIFE PATIENTS DWELLING POVERTY GAP MOBILITY POVERTY INCIDENCE MIGRATION TRANSFERS INHABITANTS NATURAL DISASTERS OBSERVATION VIOLENCE INDIVIDUAL CHARACTERISTICS MARKETS POOR INDIVIDUALS EXPLANATORY VARIABLES AVERAGE PER CAPITA CONSUMPTION DISASTERS HOUSEHOLD SURVEYS EMERGENCY RESPONSE FARMERS MIGRANTS INTERVIEW EPIDEMICS CASH TRANSFERS MORTALITY DESIGN DISEASE OUTBREAKS UNEMPLOYMENT DIET HOUSEHOLD LEVEL SOCIAL SAFETY NETS FOOD SECURITY WORKERS AGED PANDEMICS PARTICIPATION RURAL AREA GENDER DIARRHEA OCCUPATION URBAN AREAS HOUSEHOLD AGRICULTURAL SECTOR STD EMPLOYMENT STATUS MEDICAL SUPPLIES STRESS MALNUTRITION RURAL REFUGEES MARKET WORKSHOPS MALARIA POVERTY SEVERITY QUALITY CONTROL QUALITY OF LIFE INTERNET SEX VIRUS CHILDREN POVERTY SITUATION FOOD INTAKE DISEASE CLINICS WORKING CONDITIONS TRADITIONAL HOUSEHOLD SURVEYS HOUSEHOLDS RURAL AREAS POVERTY POOR FARMERS INFECTION ALL FACILITIES LIVING CONDITIONS RESEARCH METHODS HOUSEHOLD WELFARE INTERVENTIONS POVERTY RATE COMMUNITY POOR STRATEGY FAMILIES EBOLA FOOD PRICES HOSPITALS LABOR MARKETS ILLNESSES SAFETY FEMALE IMPLEMENTATION CONTAMINATION INEQUALITY POOR HOUSEHOLDS World Bank Group Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey |
| geographic_facet |
Africa Guinea |
| description |
The Ebola pandemic has been one of the
most virulent pandemics in modern times. By the end of 2015,
the epidemic had cost the lives of more than 11,300 people
in Guinea, Liberia, and Sierra Leone, including more than
500 frontline health care workers. After good growth
performance between 2011 and 2013, Guinea’s economy has
suffered a number of setbacks, including the Ebola crisis
and a sharp drop in new investment in the mining sector. As
part of the international effort to understand and manage
the Ebola crisis and to obtain microeconomic data, the World
Bank partnered with Guinea’s National Institute of
Statistics (INS) to conduct a mobile phone survey to measure
the socioeconomic impact of Ebola on households, following
in the footsteps of similar mobile surveys conducted in
Liberia and Sierra Leone in 2015. The study finds that the
pandemic had ripple effects on the economic fabric and that
the economic effects of Ebola have outlasted the
epidemiological ones. In addition to the great loss of life,
the epidemic has caused great damage to the countries’
economies. As part of the international response, the World
Bank Group has significantly financed the Ebola-affected
countries. Guinea was significantly affected by the Ebola
pandemic, jeopardizing some of the gains in macroeconomic
stability and poverty reduction during the last few years.
The survey was conducted in all provinces of Guinea, with 60
percent of the respondents residing in the areas strongly
affected by Ebola. Using newly collected data through a
mobile phone survey, this study analyzes the socioeconomic
impact of Ebola on households in Guinea. The survey shows
that all parts of Guinea were economically affected by
Ebola, with greater impacts in the southeast and the areas
around Conakry. It is interesting to note that a quarter of
respondents in the severely affected areas reported
experiencing proven cases of Ebola in their neighborhood or
village. In relation to agriculture, it is found that Ebola
did not negatively affect agricultural production and food
price. Another surprising finding is that despite Ebola and
risk of contamination, households that needed treatment for
malaria and diarrhea still visited a health facility,
whereas a significant proportion of households reduced their
attendance of health facilities. Income loss for rural
households was much more related to difficulties in selling
their production, than to lower agricultural production or
lower food prices. However, Ebola has had a larger effect on
urban employment, as illustrated by the increase in the
urban unemployment rate. On the other hand, due to Ebola,
children dropped out of school, and households adopted
coping strategies by reducing their food consumption and
selling key assets. |
| format |
Report |
| author |
World Bank Group |
| author_facet |
World Bank Group |
| author_sort |
World Bank Group |
| title |
Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey |
| title_short |
Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey |
| title_full |
Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey |
| title_fullStr |
Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey |
| title_full_unstemmed |
Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey |
| title_sort |
republic of guinea : socioeconomic impact of ebola using mobile phone survey |
| publisher |
World Bank, Washington, DC |
| publishDate |
2016 |
| url |
http://documents.worldbank.org/curated/en/2016/05/26443853/ http://hdl.handle.net/10986/24724 |
| _version_ |
1764457403573600256 |
| spelling |
okr-10986-247242021-05-25T09:52:56Z Republic of Guinea : Socioeconomic Impact of Ebola Using Mobile Phone Survey World Bank Group PER CAPITA CONSUMPTION BIRTH COMMUNITIES POVERTY POVERTY RISKS HOUSEHOLD SIZE HOUSEHOLD SURVEY TREATMENT POVERTY LINE ECONOMIC GROWTH PEOPLE EBOLA VIRUS FOOD CONSUMPTION INCOME PREVENTION POVERTY RATES AGRICULTURAL PRODUCTION ADMINISTRATIVE REGIONS COUNTERFACTUAL SERVICES HEALTH CARE HOUSING PREVALENCE NEIGHBORHOOD RURAL INCOMES EFFECTS HEALTH POOR PEOPLE EPIDEMIC EATING HABITS PROJECTS PROJECT NEIGHBORHOODS VIRUS INFECTION NATIONAL LEVEL CAPITA CONSUMPTION MEASURES DANGERS PUBLIC HEALTH SAFETY NETS POVERTY REDUCTION CONTAGION KNOWLEDGE MACROECONOMIC STABILITY COST EFFECTIVENESS LABOR MARKET POPULATION CENSUS RURAL HOUSEHOLDS TRAINING LIFE PATIENTS DWELLING POVERTY GAP MOBILITY POVERTY INCIDENCE MIGRATION TRANSFERS INHABITANTS NATURAL DISASTERS OBSERVATION VIOLENCE INDIVIDUAL CHARACTERISTICS MARKETS POOR INDIVIDUALS EXPLANATORY VARIABLES AVERAGE PER CAPITA CONSUMPTION DISASTERS HOUSEHOLD SURVEYS EMERGENCY RESPONSE FARMERS MIGRANTS INTERVIEW EPIDEMICS CASH TRANSFERS MORTALITY DESIGN DISEASE OUTBREAKS UNEMPLOYMENT DIET HOUSEHOLD LEVEL SOCIAL SAFETY NETS FOOD SECURITY WORKERS AGED PANDEMICS PARTICIPATION RURAL AREA GENDER DIARRHEA OCCUPATION URBAN AREAS HOUSEHOLD AGRICULTURAL SECTOR STD EMPLOYMENT STATUS MEDICAL SUPPLIES STRESS MALNUTRITION RURAL REFUGEES MARKET WORKSHOPS MALARIA POVERTY SEVERITY QUALITY CONTROL QUALITY OF LIFE INTERNET SEX VIRUS CHILDREN POVERTY SITUATION FOOD INTAKE DISEASE CLINICS WORKING CONDITIONS TRADITIONAL HOUSEHOLD SURVEYS HOUSEHOLDS RURAL AREAS POVERTY POOR FARMERS INFECTION ALL FACILITIES LIVING CONDITIONS RESEARCH METHODS HOUSEHOLD WELFARE INTERVENTIONS POVERTY RATE COMMUNITY POOR STRATEGY FAMILIES EBOLA FOOD PRICES HOSPITALS LABOR MARKETS ILLNESSES SAFETY FEMALE IMPLEMENTATION CONTAMINATION INEQUALITY POOR HOUSEHOLDS The Ebola pandemic has been one of the most virulent pandemics in modern times. By the end of 2015, the epidemic had cost the lives of more than 11,300 people in Guinea, Liberia, and Sierra Leone, including more than 500 frontline health care workers. After good growth performance between 2011 and 2013, Guinea’s economy has suffered a number of setbacks, including the Ebola crisis and a sharp drop in new investment in the mining sector. As part of the international effort to understand and manage the Ebola crisis and to obtain microeconomic data, the World Bank partnered with Guinea’s National Institute of Statistics (INS) to conduct a mobile phone survey to measure the socioeconomic impact of Ebola on households, following in the footsteps of similar mobile surveys conducted in Liberia and Sierra Leone in 2015. The study finds that the pandemic had ripple effects on the economic fabric and that the economic effects of Ebola have outlasted the epidemiological ones. In addition to the great loss of life, the epidemic has caused great damage to the countries’ economies. As part of the international response, the World Bank Group has significantly financed the Ebola-affected countries. Guinea was significantly affected by the Ebola pandemic, jeopardizing some of the gains in macroeconomic stability and poverty reduction during the last few years. The survey was conducted in all provinces of Guinea, with 60 percent of the respondents residing in the areas strongly affected by Ebola. Using newly collected data through a mobile phone survey, this study analyzes the socioeconomic impact of Ebola on households in Guinea. The survey shows that all parts of Guinea were economically affected by Ebola, with greater impacts in the southeast and the areas around Conakry. It is interesting to note that a quarter of respondents in the severely affected areas reported experiencing proven cases of Ebola in their neighborhood or village. In relation to agriculture, it is found that Ebola did not negatively affect agricultural production and food price. Another surprising finding is that despite Ebola and risk of contamination, households that needed treatment for malaria and diarrhea still visited a health facility, whereas a significant proportion of households reduced their attendance of health facilities. Income loss for rural households was much more related to difficulties in selling their production, than to lower agricultural production or lower food prices. However, Ebola has had a larger effect on urban employment, as illustrated by the increase in the urban unemployment rate. On the other hand, due to Ebola, children dropped out of school, and households adopted coping strategies by reducing their food consumption and selling key assets. 2016-07-20T19:42:09Z 2016-07-20T19:42:09Z 2016-05 Report http://documents.worldbank.org/curated/en/2016/05/26443853/ http://hdl.handle.net/10986/24724 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Economic & Sector Work :: General Economy, Macroeconomics, and Growth Study Economic & Sector Work Africa Guinea |