Evidence map›Paper›PMID 36109660›Full record

ArticleScientific reports2022

Spatial exploration of non-resilience to food insecurity, its association with COVID-19 and household coping strategies in East Gojjam districts, Northwest Ethiopia, 2020.

Ayenew Negesse, Wubetu Woyraw, Habtamu Temesgen, Yohannes Teka, Lieltwork Yismaw, Tadesse Yirga Akalu, Yikeber Argachew Deml, Bickes Wube Sume, Yilkal Negesse, Tesfahun Taddege and 15 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 5 institutions in 1 country.

Ayenew NegesseDepartment of Human Nutrition, Health Science College, Debre Markos University, Debre Markos, Ethiopia. ayenewnegesse@gmail.com.
Wubetu WoyrawDepartment of Human Nutrition, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Habtamu TemesgenDepartment of Human Nutrition, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Yohannes TekaDepartment of Public Health, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Lieltwork YismawDepartment of Public Health, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Tadesse Yirga AkaluDepartment of Pediatrics and Child Health, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Yikeber Argachew DemlDepartment of Biomedical Sciences, School of Medicine, Debre Markos University, Debre Markos, Ethiopia.
Bickes Wube SumeDepartment of Biomedical Sciences, School of Medicine, Debre Markos University, Debre Markos, Ethiopia.
Yilkal NegesseDepartment of Epidemiology and Biostatistics, Health Science College, Mizan Tepi University, Tepi, Ethiopia.
Tesfahun TaddegeAmhara Public Health Institute, Bahir Dar, Amhara Regional State, Ethiopia.
Wassie Dessie KidieDepartment of Hydraulic and Water Resources Engineering, Institute of Technology, Debre Markos University, Debre Markos, Ethiopia.
Abraham TeymDepartment of Environmental Health, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Biachew AsmareDepartment of Human Nutrition, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Yidersal HuneDepartment of Human Nutrition, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Dawit DamteLove in Action Ethiopia (LIAE), Addis Ababa, Ethiopia.
Temesgen GetanehDepartment of Midwifery, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Tsige GebreDepartment of Public Health, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Bayu TilahunDepartement of Health Informatics, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Aemero TenagneSafeHands "Labour at the Last Mile", London, UK.
Eniyew TegegneDepartment of Environmental Health, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Molla Yigzaw BirhanuDepartment of Public Health, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Habitamu MekonenDepartment of Human Nutrition, Health Science College, Debre Markos University, Debre Markos, Ethiopia.
Mulu ShiferawDepartment of Biomedical Sciences, School of Nursing, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Woldeteklehaymanot KassahunDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Beruk Berhanu DesalegnSchool of Nutrition, Food Science and Technology, Hawassa University, Hawassa, Ethiopia.
Debre Markos University · ETWoldia University · ETAmhara Regional Health Bureau · ETHawassa University · ETMizan Tepi University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease-2019 (COVID-19) pandemic has posed a significant multifaceted threat to the global community. Ethiopia, as a Sub-Saharan African country, is suffering from chronic food insecurity, and the emergence of such a pandemic will exacerbate the situation. As a result, this study investigated the spatial variation of non-resilience to food insecurity, its relationship with COVID-19, and household coping strategies to become resilient in the long run among households in the East Gojjam Zone of Northwest Ethiopia. From September 22 to December 24, 2020, an agro-ecological-based cross-sectional study of 3532 households was conducted to assess the spatial distribution and associated factors of non-resilience to household food insecurity. The enumeration areas (EAs) and households were chosen using a multistage sampling technique. Data were gathered using a semi-structured questionnaire and checklist using an Android device loaded with an Open Data Kit (ODK) template. Binary logistic regression was used to identify the specific factors associated with household non-resilience to food insecurity. A thematic analysis was conducted to investigate the opportunities and challenges of resilience for household food insecurity. Nearly two-thirds (62.5%) of the households were farmers, 67.9% lived in rural areas, and nearly three-quarters (73.8%) earned less than or equal to ETB 2100 per month. Males headed more than four-fifths of the households (81.7%). We found that nearly two-thirds of the households (60.02%), 95% CI 58.40, 61.64) were food insecure. After bivariate logistic regression, we found that households who were divorced (AOR = 2.54 (1.65, 3.87)), daily laborers (AOR = 2.37 (1.15, 4.87)), government employees (AOR = 2.06 (1.05, 4.05)), residents of highland and hot areas (AOR = 11.5 (5.37, 16.77)) and lowland areas (AOR = 1.35 (1.02, 3.15)) were frustrated by COVID-19 (AOR = 1.23 (1.02, 1.50)) and price inflation (1.89 (AOR = 1.42, 2.56))) were at higher odds of being non-resilient to household food insecurity at a 95% confidence level. Geospatial hot spot analysis revealed that Kurar kebele (the lowest government administrative unit) in Dejen District and Debre Markos town were the red-hotspot areas of household non-resilience to food insecurity. Less than a quarter of the households attempted to cope with food insecurity by adjusting their food consumption, while more than 60% of the households chose none of the coping strategies tested. According to the thematic analysis, the degree of poverty (lack of asset ownership), the COVID-19 pandemic, farm decreased variety, and low crop productivity were identified as challenges to coping with the hardship of resilience to food insecurity. During the COVID-19 pandemic and public emergency, the proportion of households that were unprepared for food insecurity reached its peak. It was recognized that a segment of the population with low economic capacity was more vulnerable to food insecurity and less resilient. Tough developmental gains will be undermined in this case. As a result, each responsible body and stakeholder should develop and implement solid corrective plans for the local context.

Indexed as

COVID-19Food SupplyAdaptation, PsychologicalCross-Sectional StudiesEthiopiaFamily CharacteristicsFood InsecurityHumansMalePandemicsSocioeconomic Factors

Identifiers

PMID36109660
PMCPMC9476421
OpenAlexW4296025943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.