Evidence map›Paper›PMID 37234381›Full record

ArticleFood policy2023

When increasing vegetable production may worsen food availability gaps: A simulation model in India.

Marie L Spiker, Joel Welling, Daniel Hertenstein, Suvankar Mishra, Krishna Mishra, Kristen M Hurley, Roni A Neff, Jess Fanzo, Bruce Y Lee

Abstract read
In one paragraph

Article in Food policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Marie L SpikerNutritional Sciences Program and Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, United States.
Joel WellingPittsburgh Supercomputing Center, Pittsburgh, PA, United States.
Daniel HertensteinGlobal Obesity Prevention Center (GOPC), Johns Hopkins University, Baltimore, MD, United States.
Suvankar MishraeKutir, India.
Krishna MishraeKutir, India.
Kristen M HurleyJohns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD, United States.
Roni A NeffJohns Hopkins Bloomberg School of Public Health, Department of Environmental Health and Engineering, Baltimore, MD, United States.
Jess FanzoJohns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD, United States.
Bruce Y LeePHICOR (Public Health Informatics, Computational, and Operations Research), City University of New York Graduate School of Public Health & Health Policy (CUNY SPH), New York City, NY, United States.

Funding

Project 4: Virtual Public Health Precision Nutrition LaboratoryU54TR004279 · NCATS · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI Bruce Y Lee · 2022 to 2026
$5.4M
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth CohortR01HD086013 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y, WANG, XIAOBIN · 2016 to 2020
$3.3M
Virtual Population Obesity Prevention (VPOP) Labs: Computational, Multi-Scale Models for Obesity SolutionsU01HD086861 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y · 2015 to 2019
$2.8M
NCATS NIH HHS U54 TR004279NICHD NIH HHS R01 HD086013NICHD NIH HHS U01 HD086861
6 · The paper itself

Abstract

Translating agricultural productivity into food availability depends on food supply chains. Agricultural policy and research efforts promote increased horticultural crop production and yields, but the ability of low-resource food supply chains to handle increased volumes of perishable crops is not well understood. This study developed and used a discrete event simulation model to assess the impact of increased production of potato, onion, tomato, brinjal (eggplant), and cabbage on vegetable supply chains in Odisha, India. Odisha serves as an exemplar of vegetable supply chain challenges in many low-resource settings. Model results demonstrated that in response to increasing vegetable production 1.25-5x baseline amounts, demand fulfillment at the retail level fluctuated by + 3% to -4% from baseline; in other words, any improvements in vegetable availability for consumers were disproportionately low compared to the magnitude of increased production, and in some cases increased production worsened demand fulfillment. Increasing vegetable production led to disproportionately high rates of postharvest loss: for brinjal, for example, doubling agricultural production led to a 3% increase in demand fulfillment and a 19% increase in supply chain losses. The majority of postharvest losses occurred as vegetables accumulated and expired during wholesale-to-wholesale trade. In order to avoid inadvertently exacerbating postharvest losses, efforts to address food security through agriculture need to ensure that low-resource supply chains can handle increased productivity. Supply chain improvements should consider the constraints of different types of perishable vegetables, and they may need to go beyond structural improvements to include networks of communication and trade.

Indexed as

Discrete event simulationFood securityNutritionOdishaValue chainsVegetables

Identifiers

PMID37234381
PMCPMC10206406

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.