Evidence map›Paper›PMID 32518813›Full record

ArticleOne health (Amsterdam, Netherlands)2020

Applying one health methods to improve cocoa production in Bougainville: A case study.

Merrilyn Walton, Jessica Hall, David Guest, James Butubu, Grant Vinning, Kirsten Black, Justin Beardsley

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2020. 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
1.6field-weighted citation impact, top 15% 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, 10 citations in OpenAlex.

  1. Article
  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

7 authors at 1 institution in 1 country.

Merrilyn WaltonSchool of Public Health University of Sydney Australia, Australia.
Jessica HallSchool of Public Health University of Sydney Australia, Australia.
David GuestSydney Institute of Agriculture, School of Life and Environmental Sciences, Australia.
James ButubuDepartment of Primary Industries and Marine Resources, Autonomous Region of Bougainville, Papua New Guinea.
Grant VinningSchool of Public Health University of Sydney Australia, Australia.
Kirsten BlackThe Sydney University Central Clinical School, Australia.
Justin BeardsleyMarie Bashir Institute Westmead Clinical School, University of Sydney, Australia.
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cocoa production is the major contributor to livelihoods for farming families that constitute nearly two-thirds of the population of the Autonomous Region of Bougainville, a Province in Papua New Guinea (PNG). These families, living mostly in subsistence poverty as a result of the Bougainville Civil War (1988-98), have significantly reduced cocoa production. Efforts to rebuild the industry have not been realised, due to known agricultural factors such as labour shortages, pests and diseases, poor support for farmers from trained agricultural extension officers and inefficient cocoa supply chains. But cocoa production involves factors other than agricultural ones. This article describes how we applied One Health methods to design and undertake a 6-year research project in Bougainville to improve cocoa productivity. Maximising the health and wellbeing of farming families and increasing agricultural productivity we argue, requires an in-depth understanding of the non-linear interactions between health, labour, household decision-making, yields and incomes.

Indexed as

BougainvilleCocoaFarmerLivelihoodOne healthPovertyProductivityTransdisciplinary.

Identifiers

PMID32518813
PMCPMC7270190
OpenAlexW3025566007

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.