Evidence map›Paper›PMID 36406937›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2022

Food availability and shopping channels during the disasters: Has the COVID-19 pandemic changed peoples' online food purchasing behavior?

Muhammad Aamir Shahzad, Amar Razzaq, Ping Qing, Muhammad Rizwan, Muhammad Faisal

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 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
–field-weighted citation impact
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

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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.

  1. Article
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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

5 authors.

Muhammad Aamir ShahzadCollege of Economics and Management, Huazhong Agricultural University, No.1, Shizishan Street, Hongshan District, Wuhan, Hubei Province, 430070, PR China.
Amar RazzaqBusiness School, Huanggang Normal University, Xinggang 2nd Road, City Development Zone, Huanggang, (438000), China.
Ping QingCollege of Economics and Management, Huazhong Agricultural University, No.1, Shizishan Street, Hongshan District, Wuhan, Hubei Province, 430070, PR China.
Muhammad RizwanSchool of Economics and Management, Yangtze University, Jingzhou, 434023, China.
Muhammad FaisalDepartment of Economics, University of Lahore, Sargodha Campus, Sargodha, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 caused online buying channels to flourish across the globe. However, the extent to which online channels in Pakistan assisted peoples in coping with the pandemic remains unknown. This study aims to examine peoples behavior and perceptions regarding online food purchasing and its impact on different aspects of food security. The data were collected through online surveys of 1067 respondents in Punjab and Sindh provinces during the COVID-19 pandemic. We find that peoples access to food was adversely affected by the pandemic. However, people are increasingly purchasing food online, which has improved their accessibility to food. According to the findings, 62.51% of respondents reported to have changed their perception and behavior regarding online food purchasing. In addition, almost 46.40% of peoples reported that online shopping increased their access to food during the pandemic. Using logit regression, economic analysis shows that education, monthly income, and access to basic necessities such as clean drinking water, better sanitation, and better employment are positively related to online buying behavior. For future disaster situations in Pakistan to mitigate the adverse effects on food security, strengthening and promoting the use of online purchasing channels could be an important policy instrument.

Indexed as

Buying behaviorCOVID-19Food accessibilityPerceptions

Identifiers

PMID36406937
PMCPMC9659358

What OpenQuestion holds

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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.