Evidence map›Paper›PMID 35194296›Full record

ArticleWorld development2022

Income shock and food insecurity prediction Vietnam under the pandemic.

Khoa Vu, Nguyen Dinh Tuan Vuong, Tu-Anh Vu-Thanh, Anh Ngoc Nguyen

Open access · greenAbstract read
In one paragraph

Article in World development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

3 citing papers in PubMed, 30 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Khoa VuDepartment of Applied Economics, University of Minnesota, United States.
Nguyen Dinh Tuan VuongDepartment of Agricultural and Applied Economics, University of Wisconsin-Madison, United States.
Tu-Anh Vu-ThanhFulbright School of Public Policy and Management, Fulbright University Vietnam, Vietnam.
Anh Ngoc NguyenDevelopment and Policies Research Center (DEPOCEN), Vietnam.
Agricultural & Applied Economics Association · USFulbright University Vietnam · VNUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As COVID-19 threatens the food security of vulnerable populations across the globe, there is an increasing need to identify places that are affected most in order to target aid. We propose a two-step approach to predict changes in food insecurity risk caused by income shocks at a granular level using existing household-level data and external information on aggregate income shocks. We apply this approach to assess changes in food insecurity risk during the pandemic in Vietnam. Using national household survey data between 2010 and 2018, we first estimate that a 10% decrease in income leads to a 3.5% increase in food insecurity. We then use the 2019 national Labor Force Survey to predict changes in the share of food-insecure households caused by the income shocks during the pandemic for 702 districts. We find that the small, predicted change in food insecurity risk at the national level masks substantial variation at the district level, and changes in food insecurity risk are larger among young children. Food relief policies, therefore, should prioritize a small number of districts predicted to be severely affected.

Indexed as

COVID-19Food insecurityIncome shockVietnam

Identifiers

PMID35194296
PMCPMC8849200
OpenAlexW4212996786

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.