Evidence map›Paper›PMID 37088996›Full record

ArticleScandinavian journal of public health2023

Agribusiness and the COVID-19 syndemic: The unsustainable pathways.

Finn Diderichsen, Karen Friedrich, Lia Augusto Da Silva Giraldo

Open access · greenAbstract read
In one paragraph

Article in Scandinavian journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Conceptualizing COVID-19 syndemics: A scoping review.Journal of multimorbidity and comorbidity
    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

3 authors at 2 institutions in 2 countries.

Finn DiderichsenUniversity of Copenhagen, Denmark.ORCID 0000-0002-9998-4972
Karen FriedrichUniversidade Federal do Estado do Rio de Janeiro and Fundação Oswaldo Cruz, ENSP, Brazil.
Lia Augusto Da Silva GiraldoFundação Oswaldo Cruz, IAM, Brazil.
Fundação Oswaldo Cruz · BRUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been suggested that it would be more appropriate to term the COVID-19 pandemic a syndemic, as the infection interacts synergistically with pre-existing chronic conditions such as obesity. Both conditions occur with steep socio-economic inequalities, and Brazil is suffering a heavy burden from both. What and who drives the clustering and interaction of these disorders? In this commentary, we examine the pathways leading to the COVID-19 syndemic. Deforestation, declining biodiversity and factory farming are promoting the emergence of new pathogens. Widespread use of pesticides influences immune, endocrine and metabolic systems. The ingestion of ultra-processed food promotes malnutrition and obesity in a country where at the same time poverty and food insecurity is rising. Brazilian agribusiness is focused on the production and global export of agricultural commodities, mainly for animal food and meat production. It is made possible through a combination of expanded land use, with deforestation in Amazonas and other Brazilian biomes, and the intensification of land use and cultivation of genetically modified crops with fertilizers and pesticides. This development is not sustainable for either population health or the environment.

Indexed as

COVID-19PesticidesAnimalsConservation of Natural ResourcesCrops, AgriculturalHumansObesityPandemicsPlants, Genetically ModifiedSyndemicPesticidesBrazilCOVID-19inequalityobesitySyndemic

Identifiers

PMID37088996
PMCPMC10125889
OpenAlexW4366821642

What OpenQuestion holds

Textmetadata
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.