Evidence map›Paper›PMID 32598290›Full record

ArticleJMIR public health and surveillance2020

Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study.

Elizabeth Benedict Kpozehouen, Xin Chen, Mengyao Zhu, C Raina Macintyre

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  13. COVID-19 Vaccination Strategy in China: A Case Study.Epidemiologia (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Review
  16. Using open-source intelligence to identify early signals of COVID-19 in Indonesia.Western Pacific surveillance and response journal : WPSAR
    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

4 authors.

Elizabeth Benedict KpozehouenBiosecurity Program, The Kirby Institute for Infection and Immunity, University of New South Wales, Sydney, Australia.ORCID 0000-0001-8642-7547
Xin ChenBiosecurity Program, The Kirby Institute for Infection and Immunity, University of New South Wales, Sydney, Australia.ORCID 0000-0002-9905-2307
Mengyao ZhuSchool of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.ORCID 0000-0002-7898-173X
C Raina MacintyreBiosecurity Program, The Kirby Institute for Infection and Immunity, University of New South Wales, Sydney, Australia.ORCID 0000-0002-3060-0555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease (COVID-19) outbreak in China was first reported to the World Health Organization (WHO) on December 31, 2019, and the first cases were officially identified around December 8, 2019. Although the origin of COVID-19 has not been confirmed, approximately half of the early cases were linked to a seafood market in Wuhan. However, the first two documented patients did not visit the seafood market. News reports, social media, and informal sources may provide information about outbreaks prior to formal notification.

objectiveThe aim of this study was to identify early signals of pneumonia or severe acute respiratory illness (SARI) in China prior to official recognition of the COVID-19 outbreak in December 2019 using open-source data.

methodsTo capture early reports, we searched an open source epidemic observatory, EpiWatch, for SARI or pneumonia-related illnesses in China from October 1, 2019. The searches were conducted using Google and the Chinese search engine Baidu.

resultsThere was an increase in reports following the official notification of COVID-19 to the WHO on December 31, 2019, and a report that appeared on December 26, 2019 was retracted. A report of severe pneumonia on November 22, 2019, in Xiangyang was identified, and a potential index patient was retrospectively identified on November 17.

conclusionsThe lack of reports of SARI outbreaks prior to December 31, 2019, with a retracted report on December 26, suggests media censorship, given that formal reports indicate that cases began appearing on December 8. However, the findings also support a relatively recent origin of COVID-19 in November 2019. The case reported on November 22 was transferred to Wuhan approximately one incubation period before the first identified cases on December 8; this case should be further investigated, as only half of the early cases were exposed to the seafood market in Wuhan. Another case of COVID-19 has since been retrospectively identified in Hubei on November 17, 2019, suggesting that the infection was present prior to December.

Indexed as

Disease OutbreaksBetacoronavirusChinaCoronavirusCoronavirus InfectionsCOVID-19DisclosureDocumentationHumansPandemicsPneumoniaPneumonia, ViralRetrospective StudiesSARS-CoV-2Search EngineSevere Acute Respiratory SyndromebiosecurityCOVID-19epidemiologyinfectious diseasesurveillance

Identifiers

PMID32598290
PMCPMC7505682

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Registered trials

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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.