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      Global Percentage of Asymptomatic SARS-CoV-2 Infections Among the Tested Population and Individuals With Confirmed COVID-19 Diagnosis : A Systematic Review and Meta-analysis

      research-article
      , PhD 1 , , PhD 1 , , BD 1 , , BD 1 , , BD 2 , , PhD 1 , , MD 1 , , PhD 1 ,
      JAMA Network Open
      American Medical Association

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          Key Points

          Question

          What is the percentage of asymptomatic individuals with positive test results for SARS-CoV-2 among tested individuals and those with confirmed COVID-19 diagnosis?

          Findings

          In this systematic review and meta-analysis of 95 unique studies with 29 776 306 individuals undergoing testing, the pooled percentage of asymptomatic infections was 0.25% among the tested population and 40.50% among the population with confirmed COVID-19.

          Meaning

          The high percentage of asymptomatic infections from this study highlights the potential transmission risk of asymptomatic infections in communities.

          Abstract

          This systematic review and meta-analysis evaluated the percentage of asymptomatic COVID-19 infections among individuals undergoing testing and those with confirmed infections.

          Abstract

          Importance

          Asymptomatic infections are potential sources of transmission for COVID-19.

          Objective

          To evaluate the percentage of asymptomatic infections among individuals undergoing testing (tested population) and those with confirmed COVID-19 (confirmed population).

          Data Sources

          PubMed, EMBASE, and ScienceDirect were searched on February 4, 2021.

          Study Selection

          Cross-sectional studies, cohort studies, case series studies, and case series on transmission reporting the number of asymptomatic infections among the tested and confirmed COVID-19 populations that were published in Chinese or English were included.

          Data Extraction and Synthesis

          This meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. Random-effects models were used to estimate the pooled percentage and its 95% CI. Three researchers performed the data extraction independently.

          Main Outcomes and Measures

          The percentage of asymptomatic infections among the tested and confirmed populations.

          Results

          Ninety-five unique eligible studies were included, covering 29 776 306 individuals undergoing testing. The pooled percentage of asymptomatic infections among the tested population was 0.25% (95% CI, 0.23%-0.27%), which was higher in nursing home residents or staff (4.52% [95% CI, 4.15%-4.89%]), air or cruise travelers (2.02% [95% CI, 1.66%-2.38%]), and pregnant women (2.34% [95% CI, 1.89%-2.78%]). The pooled percentage of asymptomatic infections among the confirmed population was 40.50% (95% CI, 33.50%-47.50%), which was higher in pregnant women (54.11% [95% CI, 39.16%-69.05%]), air or cruise travelers (52.91% [95% CI, 36.08%-69.73%]), and nursing home residents or staff (47.53% [95% CI, 36.36%-58.70%]).

          Conclusions and Relevance

          In this meta-analysis of the percentage of asymptomatic SARS-CoV-2 infections among populations tested for and with confirmed COVID-19, the pooled percentage of asymptomatic infections was 0.25% among the tested population and 40.50% among the confirmed population. The high percentage of asymptomatic infections highlights the potential transmission risk of asymptomatic infections in communities.

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          Most cited references132

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Measuring inconsistency in meta-analyses.

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              Bias in meta-analysis detected by a simple, graphical test

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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                14 December 2021
                December 2021
                14 December 2021
                : 4
                : 12
                : e2137257
                Affiliations
                [1 ]Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
                [2 ]School of Health Humanities, Peking University, Beijing, China
                Author notes
                Article Information
                Accepted for Publication: October 8, 2021.
                Published: December 14, 2021. doi:10.1001/jamanetworkopen.2021.37257
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Ma Q et al. JAMA Network Open.
                Corresponding Author: Min Liu, PhD, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Rd, Haidian District, Beijing 100191, China ( liumin@ 123456bjmu.edu.cn ).
                Author Contributions: Dr M. Liu had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Ma and J. Liu contributed equally to this study and are co–first authors.
                Concept and design: Ma, J. Liu, Jing, M. Liu.
                Acquisition, analysis, or interpretation of data: Ma, Q. Liu, Kang, R. Liu, Wu, M. Liu.
                Drafting of the manuscript: Ma, Q. Liu, Kang, R. Liu.
                Critical revision of the manuscript for important intellectual content: J. Liu, Jing, Wu, M. Liu.
                Statistical analysis: Ma, J. Liu, Q. Liu, Jing.
                Obtained funding: J. Liu, M. Liu.
                Supervision: M. Liu.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: This work was supported by grants 71934002, 71874003, and 72122001 from the National Natural Science Foundation of China.
                Role of the Funder/Sponsor: The sponsor had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Article
                zoi211054
                10.1001/jamanetworkopen.2021.37257
                8672238
                34905008
                ff12b726-4c30-46a5-8651-af969719f8bd
                Copyright 2021 Ma Q et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 25 June 2021
                : 8 October 2021
                Categories
                Research
                Original Investigation
                Online Only
                Infectious Diseases

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