The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
COVID-19 implications on household income and food security in Kenya and Uganda: Findings from a rapid assessment
Open accessAbstract
This study assessed implications of the Coronavirus Disease 19 (COVID-19) pandemic on household income and food security in two East African countries - Kenya and Uganda, using online survey data from 442 respondents. Results show that more than two-thirds of the respondents experienced income shocks due to the COVID-19 crisis. Food security and dietary quality worsened, as measured by the food insecurity experience scale and the frequency of consumption of nutritionally-rich foods. The proportion of food insecure respondents increased by 38% and 44% in Kenya and Uganda respectively, and in both countries, the regular consumption of fruits decreased by about 30% during the COVID-19 pandemic, compared to a normal period (before the pandemic). Results from probit regressions show that the income-poor households and those dependent on labour income were more vulnerable to income shock, and had poorer food consumption during the COVID-19 pandemic compared to other respondent categories. As such, they were more likely to employ food-based coping strategies compared to those pursuing alternative livelihoods, who generally relied on savings. Farmers were less likely to experience worsened food security compared to other respondent categories who depended to a great extent on market sources for food. In both countries, participation in national social security schemes was less likely to mitigate respondents' income shock during the COVID-19 period. Conversely, membership in savings and loan groups was correlated with less likelihood of suffering income shocks and reduction in food consumption. The results suggest that ongoing and future government responses should focus on structural changes in social security by developing responsive packages to cushion members pushed into poverty by such pandemics while building strong financial institutions to support the recovery of businesses in the medium term, and ensuring the resilience of food supply chains particularly those making available nutrient-dense foods.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
WHO Declares COVID-19 a Pandemic.
Cucinotta, D., & Vanelli, M. (2020) · Acta bio-medica dell'Ateneo parmense/Acta biomedica · doi:10.23750/abm.v91i1.9397 · Cited by 7,457
The socio-economic implications of the coronavirus pandemic (COVID-19): a review
Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020) · International Journal of Surgery · doi:10.1016/j.ijsu.2020.04.018 · Cited by 6,351
A Review of Coronavirus Disease-2019 (COVID-19)
Singhal, T. (2020) · The Indian Journal of Pediatrics · doi:10.1007/s12098-020-03263-6 · Cited by 3,537
The Global Macroeconomic Impacts of COVID-19: Seven Scenarios
McKibbin, W. J., & Fernando, R. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3547729 · Cited by 1,482
COVID-19, school closures, and child poverty: a social crisis in the making
Van Lancker, W., & Parolin, Z. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30084-0 · Cited by 1,411
Mitigating the wider health effects of covid-19 pandemic response
Douglas, M., Katikireddi, S. V., Taulbut, M., McKee, M., & McCartney, G. (2020) · BMJ · doi:10.1136/bmj.m1557 · Cited by 1,105
Estimates of the impact of COVID-19 on global poverty
Sumner, A., Hoy, C., & Ortiz-Juarez, E. (2020) · WIDER Working Paper · doi:10.35188/unu-wider/2020/800-9 · Cited by 783
Covid-19 lockdowns, income distribution, and food security: An analysis for South Africa
Arndt, C., Davies, R., Gabriel, S., Harris, L., Makrelov, K., Robinson, S., Levy, S., Simbanegavi, W., van Seventer, D., & Anderson, L. (2020) · Global Food Security · doi:10.1016/j.gfs.2020.100410 · Cited by 439
Factors affecting household food security in rural northern hinterland of Pakistan
Abdullah, Zhou, D., Shah, T., Ali, S., Ahmad, W., Din, I. U., & Ilyas, A. (2019) · Journal of the Saudi Society of Agricultural Sciences · doi:10.1016/j.jssas.2017.05.003 · Cited by 339
Beland, L.-P., Brodeur, A., & Wright, T. (2023) · PLOS ONE · doi:10.1371/journal.pone.0270341 · Cited by 321
Drought Adaptation and Coping Strategies Among the Turkana Pastoralists of Northern Kenya
Opiyo, F., Wasonga, O., Nyangito, M., Schilling, J., & Munang, R. (2015) · International Journal of Disaster Risk Science · doi:10.1007/s13753-015-0063-4 · Cited by 317
COVID-19 in Africa: socio-economic impact, policy response and opportunities
Ozili, P. (2022) · International Journal of Sociology and Social Policy · doi:10.1108/ijssp-05-2020-0171 · Cited by 300
Ceballos, F., Kannan, S., & Kramer, B. (2020) · World Development · doi:10.1016/j.worlddev.2020.105069 · Cited by 260
Harris, J., Depenbusch, L., Pal, A. A., Nair, R. M., & Ramasamy, S. (2020) · Food Security · doi:10.1007/s12571-020-01064-5 · Cited by 253
Impact of savings groups on the lives of the poor
Karlan, D., Savonitto, B., Thuysbaert, B., & Udry, C. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611520114 · Cited by 225
Without food, there can be no exit from the pandemic
Torero, M. (2020) · Nature · doi:10.1038/d41586-020-01181-3 · Cited by 215
2014 Global Hunger Index The Challenge of Hidden Hunger
Research Institute (IFPRI), I. F. P. (2014) · doi:10.2499/9780896299627 · Cited by 189
2014 Global Hunger Index The Challenge of Hidden Hunger
International Food Policy Research Institute, Saltzman, A., Birol, E., Wiesman, D., Prasai, N., Yin, S., Yohannes, Y., Menon, P., Thompson, J., & Sonntag, A. (2014) · CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · doi:10.2499/9780896299580 · Cited by 156
Darnton‐Hill, I., & Cogill, B. (2009) · Journal of Nutrition · doi:10.3945/jn.109.111682 · Cited by 103
Coping Strategies among Urban Poor: Evidence from Nairobi, Kenya
Amendah, D. D., Buigut, S. K., & Mohamed, S. F. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083428 · Cited by 86
Economic Predictors of Household Food Insecurity in Canadian Metropolitan Areas
Sriram, U., & Tarasuk, V. S. (2016) · Journal of Hunger & Environmental Nutrition · doi:10.1080/19320248.2015.1045670 · Cited by 43
Financial inclusion, shocks and coping strategies: survey evidence from Uganda
Mawejje, J. (2019) · African Journal of Economic and Management Studies · doi:10.1108/ajems-10-2018-0325 · Cited by 21
Cited by
Picchioni, F., Goulao, L. F., & Roberfroid, D. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2021.08.015 · Cited by 245
Laborde, D., Herforth, A., Headey, D., & de Pee, S. (2021) · Nature Food · doi:10.1038/s43016-021-00323-8 · Cited by 100
Metadata
- Authors
- Kansiime, M. K., Tambo, J. A., Mugambi, I., Bundi, M., Kara, A., & Owuor, C.
- Venue
- World Development
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 137
- Pages
- 105199
- ISSN
- 0305-750X (ISSN-L)
- OpenAlex
- W3087706624
- Cited by
- 628
- References
- 22
- FWCI
- 155.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.