Dynamically Identifying Community Level COVID-19 Impact Risks: Uzbekistan
The authors build a new database of highly spatially disaggregated indicators related to risk and resilience to the social and economic impacts of the COVID-19 pandemic in Uzbekistan. The outbreak disproportionately affects groups, the elderly, the poor, those living in areas under lockdown, and fam...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2020
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| Schriftenreihe: | Other Poverty Study
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | The authors build a new database of highly spatially disaggregated indicators related to risk and resilience to the social and economic impacts of the COVID-19 pandemic in Uzbekistan. The outbreak disproportionately affects groups, the elderly, the poor, those living in areas under lockdown, and families who rely on remittance income are all examples of groups that are especially vulnerable to effects of the crisis in Uzbekistan. The authors assemble indicators summarizing concentrations of these and other risk factors at the lowest administrative level in the country, neighborhood-sized units called mahallas. Local official administrative statistics (published for the first time in this study) are combined with monthly panel survey data from the ongoing Listening to the Citizens of Uzbekistan project to produce an overall risk index, which is decomposable by dimension or risk factor to inform targeted and issue-specific responses. We then demonstrate a process for updating key indicators (such as employment or remittance flows) on a monthly basis using linked survey data combined with small area estimation techniques. These neighborhood-level results are intended to improve resource allocation decisions and are particularly relevant in Uzbekistan where local representatives are responsible for implementing key social and economic programs to respond to the outbreak |
| Beschreibung: | 1 Online-Ressource |
| DOI: | 10.1596/34925 |
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| 520 | 3 | |a The authors build a new database of highly spatially disaggregated indicators related to risk and resilience to the social and economic impacts of the COVID-19 pandemic in Uzbekistan. The outbreak disproportionately affects groups, the elderly, the poor, those living in areas under lockdown, and families who rely on remittance income are all examples of groups that are especially vulnerable to effects of the crisis in Uzbekistan. The authors assemble indicators summarizing concentrations of these and other risk factors at the lowest administrative level in the country, neighborhood-sized units called mahallas. Local official administrative statistics (published for the first time in this study) are combined with monthly panel survey data from the ongoing Listening to the Citizens of Uzbekistan project to produce an overall risk index, which is decomposable by dimension or risk factor to inform targeted and issue-specific responses. We then demonstrate a process for updating key indicators (such as employment or remittance flows) on a monthly basis using linked survey data combined with small area estimation techniques. These neighborhood-level results are intended to improve resource allocation decisions and are particularly relevant in Uzbekistan where local representatives are responsible for implementing key social and economic programs to respond to the outbreak | |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:27:58Z |
| indexdate | 2024-10-12T04:03:00Z |
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| language | English |
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| spellingShingle | Seitz, William Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan Coronavirus COVID-19 Disease Control and Prevention Health, Nutrition and Population Inequality Poverty Poverty Monitoring and Analysis Poverty Reduction |
| title | Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan |
| title_auth | Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan |
| title_exact_search | Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan |
| title_exact_search_txtP | Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan |
| title_full | Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan William Seitz |
| title_fullStr | Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan William Seitz |
| title_full_unstemmed | Dynamically Identifying Community Level COVID-19 Impact Risks Uzbekistan William Seitz |
| title_short | Dynamically Identifying Community Level COVID-19 Impact Risks |
| title_sort | dynamically identifying community level covid 19 impact risks uzbekistan |
| title_sub | Uzbekistan |
| topic | Coronavirus COVID-19 Disease Control and Prevention Health, Nutrition and Population Inequality Poverty Poverty Monitoring and Analysis Poverty Reduction |
| topic_facet | Coronavirus COVID-19 Disease Control and Prevention Health, Nutrition and Population Inequality Poverty Poverty Monitoring and Analysis Poverty Reduction |
| url | https://doi.org/10.1596/34925 |
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