Evidence map›Paper›PMID 31188022›Full record

ReviewFoodborne pathogens and disease2019

Investing in Food Safety for Developing Countries: Opportunities and Challenges in Applying Whole-Genome Sequencing for Food Safety Management.

Isabella Apruzzese, Eunyeong Song, Ernest Bonah, Vernadette S Sanidad, Pimlapas Leekitcharoenphon, Julius John Medardus, Nagmeldin Abdalla, Hedayat Hosseini, Masami Takeuchi

Open access · hybridAbstract readReview
In one paragraph

Review in Foodborne pathogens and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Characterization of theFoods (Basel, Switzerland) · 2024
    Article
  3. Review
  4. Article
  5. Contamination of Plant Foods withMicroorganisms · 2023
    Article
  6. Molecular Detection and Identification of Plant-AssociatedInternational journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Review
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 at 9 institutions in 8 countries.

Isabella Apruzzese1 Franco Prattico Masters' Course in Science Communication, Trieste, Italy.
Eunyeong Song2 Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Fujian, China.
Ernest Bonah3 Food and Drugs Authority, Northern Regional Office, Accra, Ghana.
Vernadette S Sanidad4 National Meat Inspection Service, Manila, Philippines.
Pimlapas Leekitcharoenphon5 National Food Institute, Technical University of Denmark, Copenhagen, Denmark.
Julius John Medardus6 Department of Veterinary Anatomy and Pathology, College of Veterinary Medicine and Biomedical Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
Nagmeldin Abdalla7 Sudanese Standard and Metrology Organization, Khartoum, Sudan.
Hedayat Hosseini8 National Nutrition & Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Teheran, Iran.
Masami Takeuchi9 Food and Agriculture Organization of the United Nations, Rome, Italy.
Animal and Plant Health Inspection Service · USFood and Agriculture Organization of the United Nations · ITInternational School of Trieste · ITNational Nutrition and Food Technology Research Institute · IRNorwegian Food Safety Authority · NOSokoine University of Agriculture · TZSudan Medical Specialization Board · SDTechnical University of Denmark · DKXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) has become a significant tool in investigating foodborne disease outbreaks and some countries have incorporated WGS into national food control systems. However, WGS poses technical challenges that deter developing countries from incorporating it into their food safety management system. A rapid scoping review was conducted, followed by a focus group session, to understand the current situation regarding the use of WGS for foodborne disease surveillance and food monitoring at the global level and identify key limiting factors for developing countries in adopting WGS for their food control systems. The results showed that some developed nations routinely use WGS in their food surveillance systems resulting in more precise understanding of the causes of outbreaks. In developing nations, knowledge of WGS exists in the academic/research sectors; however, there is limited understanding at the government level regarding the usefulness of WGS for food safety regulatory activities. Thus, incorporation of WGS is extremely limited in most developing nations. While some countries lack the capacity to collect and analyze the data generated from WGS, the most significant technical gap in most developing countries is in data interpretation using bioinformatics. The gaps in knowledge and capacities between developed and developing nations regarding use of WGS likely introduce an inequality in international food trade, and thus, relevant international organizations, as well as the countries that are already proficient in the use of WGS, have significant roles in assisting developing nations to be able to fully benefit from the technology and its applications in food safety management.

Indexed as

Developing CountriesFood SafetyWhole Genome SequencingDisease OutbreaksFoodborne DiseasesGenome, BacterialHumansSafety Managementdeveloping countriesFood and Agriculture Organization of the United Nationsfoodborne disease surveillancefood safetynext-generation sequencingwhole-genome sequencing

Identifiers

PMID31188022
PMCPMC6653794
OpenAlexW2950643814

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.