Evidence map›Paper›PMID 37509793›Full record

ArticleFoods (Basel, Switzerland)2023

Cold-Chain-Food-Related COVID-19 Surveillance in Guangzhou between July 2020 and December 2022.

Zongqiu Chen, Xiaoning Li, Jinhua Zhou, Tengfei Zhou, Tianji Lin, Conghui Xu, Jianhai Yu, Kuibiao Li, Zhoubin Zhang, Wei Zhao

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. 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
0.8field-weighted citation impact, top 25% 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, 3 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

10 authors at 2 institutions in 1 country.

Zongqiu ChenBSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Xiaoning LiGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.ORCID 0000-0001-9624-3469
Jinhua ZhouGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Tengfei ZhouGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Tianji LinGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Conghui XuGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jianhai YuBSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0002-2986-8028
Kuibiao LiGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Zhoubin ZhangGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Wei ZhaoBSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Guangzhou Center for Disease Control and Prevention · CNSouthern Medical University · CN

Funding

Guangdong Science and Technology Program key projects 2021B1212030014Key medical discipline of Guangzhou 2021-2023-011
6 · The paper itself

Abstract

objectiveTo monitor severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA contamination in samples linked to imported cold-chain food and assess the situation from the implementation of a centralized supervision warehouse system in Guangzhou, Guangdong Province, China.

methodsSwabs of workers and frozen-food-related samples were collected between July 2020 and December 2023 in Guangzhou, Guangdong Province. SARS-CoV-2 RNA was extracted and analyzed by a real-time quantitative polymerase chain reaction using the commercially available SARS-CoV-2 nucleic acid test kit. The risk level and food source were monitored simultaneously.

resultsA total of 283 positive cold-chain events were found in Guangzhou since the first cold-chain-related event of the coronavirus disease 2019 pandemic was identified in July 2020. Most positive samples were a low-to-medium risk, and the cycle threshold value was >30. No live virus was detected, and no staff came into direct contact with a live virus. In total, 87.63% of positive events were identified through sampling and testing at the centralized food warehouse.

conclusionCold-chain food has a relatively low risk of transmitting SARS-CoV-2. Centralized food storage can be used as an effective method to control this risk, and this measure can also be used for other food-related, contact-transmitted diseases.

Indexed as

centralized supervision warehouse systemcold-chain foodCOVID-19outbreakSARS-CoV-2

Identifiers

PMID37509793
PMCPMC10379576
OpenAlexW4384342285

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.