2016年-世界发展银行全球_Republic_of_Guinea___Socioeconomic_Impact_of_Ebola_Using_Mobile_Phone_Survey_50页_1mb

Summary of the Socioeconomic Impact of Ebola in Guinea

Core Content

This report analyzes the socioeconomic impact of the Ebola epidemic in Guinea, focusing on how the crisis affected household welfare, employment, agriculture, food security, education, health, and migration patterns. The study was conducted by the World Bank in collaboration with the National Institute of Statistics (INS) of Guinea using a mobile phone survey methodology. The survey targeted 2,500 households across the country, with 1,500 in severely affected areas and 1,000 in less affected areas. The findings highlight both the immediate and long-term consequences of the epidemic on various aspects of life in Guinea.

Main Findings

Overall Impact

• Economic Impact: The Ebola pandemic had a widespread economic impact across all regions of Guinea, with greater effects in the southeast and areas around Conakry.
• Ebola Cases: A quarter of respondents in severely affected areas reported proven cases of Ebola in their neighborhood, compared to one in twenty in less affected areas.
• Poverty Increase: Poverty rates in Guinea increased from 53% in 2007 to 55% in 2012, with higher incidence in severely affected zones (51.2%) than in less affected zones (44.4%) and Conakry (29.1%).

Factors Influencing Ebola Risk

• Poverty: The poorest households were more likely to contract Ebola.
• Gender: Households headed by women had a higher risk of being affected.
• Community Living Standards: Community-level factors such as population density and standard of living also played a role in the spread of the disease.

Employment and Incomes

• Urban Unemployment: The unemployment rate was higher in urban areas severely affected by Ebola (17%) compared to less affected areas (12%).
• Rural Income Decline: Rural incomes declined significantly, with a disproportionate impact on women.

Agricultural Output

• Resilience: Agricultural production remained relatively resilient, with 41% of households reporting increased output in 2015 compared to 2013.
• Government Interventions: Food security programs and the continued farming of poor households contributed to this resilience.

Food Security

• Rice Price Increase: 33% of households in severely affected areas reported increased rice prices, compared to 13% in less affected areas.
• Changes in Food Habits: 30% of households in Conakry and 23% in other severely affected areas changed their food habits, compared to 17% in less affected areas.
• Demand Reduction: Lower domestic incomes reduced food demand, offsetting some of the price pressures.

Education

• School Dropouts: Nearly 7% of households withdrew their children from school, with Ebola cited as the main reason.

Health

• Fear of Health Facilities: 11% of households in severely affected areas were afraid to visit health facilities due to fear of Ebola, compared to 2% in less affected areas.
• Continued Health Care Use: Despite the pandemic, most households still sought treatment for common illnesses like malaria and diarrhea.

Knowledge and Awareness

• High Awareness: Almost all households in Guinea reported having heard of Ebola, regardless of the area they were in.

Comparison with Liberia and Sierra Leone

• Similar Patterns: The survey found similar socioeconomic impacts across the three countries, though the magnitudes varied.
• Continued Health Facility Use: Despite the outbreak, health facility usage continued to increase.
• Agricultural Resilience: All three countries experienced resilience in agricultural production, though local market prices fluctuated.

Policy Implications

• Need for Continued Support: There is a need for ongoing aid and investment to support Guinea's recovery.
• Strengthening Social Safety Nets: Improving access to inputs for farmers and enhancing social safety nets are essential.
• Government Support: Stronger government support for social sectors is recommended to mitigate long-term impacts.

Survey Methodology

Approach

• Mobile Phone Survey: Conducted from September 7 to 21, 2015, using a list of Orange subscribers as the sampling frame.
• Sampling Frame: The survey targeted 70% of the population with mobile phone access, though it excluded 30% of the very poor who do not own phones.
• Strata Classification: Based on the Epidemiological Report on Ebola Outbreak (January 20, 2015), two strata were defined:
  • Zone 1: Severely affected areas, including the initial outbreak regions, border areas with Sierra Leone, and Conakry.
  • Zone 2: Less affected areas, especially the northern parts of the country, used as a control group.

Limitations

• Non-representativeness: The survey may not be fully representative due to the exclusion of non-phone-owning households.
• Methodological Differences: The mobile survey could not be easily compared with traditional census data due to different methodologies.

Key Information

• Ebola Timeline: The epidemic originated in Guinea in December 2013 and was declared free in December 2015.
• Economic Losses: Total GDP losses for the three countries in 2015 were estimated at US$2.2 billion, with Guinea accounting for US$535 million.
• Inflation Trends: Inflation in Guinea averaged below 10% in 2015, influenced by lower international prices for food and fuel.
• Electricity Production: Improved with the operation of the Kaleta hydroelectric power plant in mid-2015.
• Fiscal Deterioration: Revenue and grants fell by almost 3 percentage points of GDP, and expenditures increased by 2 percentage points due to Ebola-related transfers and public investment.

Conclusion

The Ebola pandemic had profound and lasting socioeconomic effects on Guinea, impacting employment, food security, education, and health. While the agricultural sector showed resilience, the mining sector and urban economies were significantly affected. The use of a mobile phone survey provided critical insights into these impacts, especially in high-risk environments where traditional field surveys were not feasible. The findings emphasize the need for continued aid, stronger social safety nets, and improved government support to ensure long-term recovery and resilience.