Socioeconomic Impact of COVID-19 on Sudanese Households
Sudan, like the rest of the world, has been experiencing the unprecedented social and economic impact of the Coronavirus (COVID-19) pandemic. The Sudanese authorities attempted to act quickly in the face of the spreading virus. In March 2020 the go...
| Main Author: | |
|---|---|
| Format: | Policy Note |
| Language: | English |
| Published: |
World Bank, Washington, DC
2021
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/394981620725892919/Socioeconomic-Impact-of-COVID-19-on-Sudanese-Households http://hdl.handle.net/10986/35556 |
| Summary: | Sudan, like the rest of the world, has
been experiencing the unprecedented social and economic
impact of the Coronavirus (COVID-19) pandemic. The Sudanese
authorities attempted to act quickly in the face of the
spreading virus. In March 2020 the government established a
high-level emergency committee to oversee the operations to
deal with the Coronavirus (COVID-19) pandemic. The
government imposed closure of schools, airports, ports, and
land crossings, banned travel between states, and prohibited
mass gatherings. A partial lockdown was imposed in Khartoum
State in mid-March 2020. Restrictions on movement are
expected to make the economic situation worse, with
commodity prices soaring across the country. The rapid
spread of Coronavirus (COVID-19) in Sudan and the
government’s containment measures could negatively affect
household welfare including loss of employment and income,
decreased access to basic commodities and services, and food
security. The objective of the Sudan high frequency survey
on Coronavirus (COVID-19) is to quickly collect household
(and firm-level) information, using phones, to monitor the
crisis and assess the dynamics of the impacts of Coronavirus
(COVID-19) on households and micro, small and medium
enterprises [MSMEs] in Sudan. The survey will help inform
dialogue and mitigation measures. The survey focuses on the
socioeconomic impacts of Coronavirus (COVID-19) on
households in urban and rural areas and provides near
real-time data, supporting an evidence-based response to the crisis. |
|---|