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      Contact Tracing Assessment of COVID-19 Transmission Dynamics in Taiwan and Risk at Different Exposure Periods Before and After Symptom Onset

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      , MD, MSc 1 , , DVM, MPH 1 , , PhD 1 , , BSc 2 , , MD 3 , , MD, ScD 2 , 4 ,
      JAMA Internal Medicine
      American Medical Association

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          Key Points

          Question

          What is the transmissibility of coronavirus disease 2019 (COVID-19) to close contacts?

          Findings

          In this case-ascertained study of 100 cases of confirmed COVID-19 and 2761 close contacts, the overall secondary clinical attack rate was 0.7%. The attack rate was higher among contacts whose exposure to the index case started within 5 days of symptom onset than those who were exposed later.

          Meaning

          High transmissibility of COVID-19 before and immediately after symptom onset suggests that finding and isolating symptomatic patients alone may not suffice to interrupt transmission, and that more generalized measures might be required, such as social distancing.

          Abstract

          Importance

          The dynamics of coronavirus disease 2019 (COVID-19) transmissibility are yet to be fully understood. Better understanding of the transmission dynamics is important for the development and evaluation of effective control policies.

          Objective

          To delineate the transmission dynamics of COVID-19 and evaluate the transmission risk at different exposure window periods before and after symptom onset.

          Design, Setting, and Participants

          This prospective case-ascertained study in Taiwan included laboratory-confirmed cases of COVID-19 and their contacts. The study period was from January 15 to March 18, 2020. All close contacts were quarantined at home for 14 days after their last exposure to the index case. During the quarantine period, any relevant symptoms (fever, cough, or other respiratory symptoms) of contacts triggered a COVID-19 test. The final follow-up date was April 2, 2020.

          Main Outcomes and Measures

          Secondary clinical attack rate (considering symptomatic cases only) for different exposure time windows of the index cases and for different exposure settings (such as household, family, and health care).

          Results

          We enrolled 100 confirmed patients, with a median age of 44 years (range, 11-88 years), including 44 men and 56 women. Among their 2761 close contacts, there were 22 paired index-secondary cases. The overall secondary clinical attack rate was 0.7% (95% CI, 0.4%-1.0%). The attack rate was higher among the 1818 contacts whose exposure to index cases started within 5 days of symptom onset (1.0% [95% CI, 0.6%-1.6%]) compared with those who were exposed later (0 cases from 852 contacts; 95% CI, 0%-0.4%). The 299 contacts with exclusive presymptomatic exposures were also at risk (attack rate, 0.7% [95% CI, 0.2%-2.4%]). The attack rate was higher among household (4.6% [95% CI, 2.3%-9.3%]) and nonhousehold (5.3% [95% CI, 2.1%-12.8%]) family contacts than that in health care or other settings. The attack rates were higher among those aged 40 to 59 years (1.1% [95% CI, 0.6%-2.1%]) and those aged 60 years and older (0.9% [95% CI, 0.3%-2.6%]).

          Conclusions and Relevance

          In this study, high transmissibility of COVID-19 before and immediately after symptom onset suggests that finding and isolating symptomatic patients alone may not suffice to contain the epidemic, and more generalized measures may be required, such as social distancing.

          Abstract

          This study delineates the transmission dynamics of coronavirus disease 2019 (COVID-19) and evaluates the transmission risk at different exposure window periods before and after symptom onset.

          Related collections

          Most cited references21

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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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            • Record: found
            • Abstract: found
            • Article: not found

            A Novel Coronavirus from Patients with Pneumonia in China, 2019

            Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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              • Record: found
              • Abstract: found
              • Article: found

              Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

              In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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                Author and article information

                Journal
                JAMA Intern Med
                JAMA Intern Med
                JAMA Intern Med
                JAMA Internal Medicine
                American Medical Association
                2168-6106
                2168-6114
                September 2020
                1 May 2020
                8 September 2020
                1 May 2020
                : 180
                : 9
                : 1156-1163
                Affiliations
                [1 ]Epidemic Intelligence Center, Taiwan Centers for Disease Control, Taipei, Taiwan
                [2 ]Institute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan
                [3 ]Office of Preventive Medicine, Taiwan Centers for Disease Control, Taipei, Taiwan
                [4 ]Global Health Program, National Taiwan University College of Public Health, Taipei, Taiwan
                Author notes
                Article Information
                Group Information: A complete list of the members of the Taiwan COVID-19 Outbreak Investigation Team appears at the end of this article.
                Accepted for Publication: April 21, 2020.
                Published Online: May 1, 2020. doi:10.1001/jamainternmed.2020.2020
                Correction: This article was corrected on September 8, 2020, to fix transposed numbers of men and women study participants in the Abstract and in the Results section; an error in the definition of serial interval in the Introduction; the misspelling of 2 names in the Group Information section; and typographical data errors in the Supplement.
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Cheng H-Y et al. JAMA Internal Medicine.
                Corresponding Author: Hsien-Ho Lin, MD, ScD, National Taiwan University, 17 Xuzhou Rd, Taipei 100, Taiwan ( hsienho@ 123456ntu.edu.tw ).
                Author Contributions: Drs Cheng and Lin had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Cheng, Jian, Huang, Lin.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Cheng, Jian, Ng, Lin.
                Critical revision of the manuscript for important intellectual content: Cheng, Jian, Liu, Huang, Lin.
                Statistical analysis: Cheng, Jian, Ng, Lin.
                Obtained funding: Lin.
                Administrative, technical, or material support: Jian, Liu, Ng, Huang, Lin.
                Supervision: Liu, Huang, Lin.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: The study was funded by Taiwan Ministry of Science and Technology (MOST 107-2314-B-002-187-MY2 and MOST 108-2628-B-002-022).
                Role of the Funder/Sponsor: The funder 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.
                Group Information: The Taiwan COVID-19 Outbreak Investigation Team members include the following: Taiwan CDC: Office of Preventive Medicine and Taiwan Field Epidemiology Training Program: Wan-Ting Huang, Wan-Chin Chen, Angela Song-En Huang, Chia-Ping Su, Pin-Hui Lee, Pei-Chun Chan, Hao-Hsin Wu, Shih-Tse Huang, Tsung-Pei Tsou, Ying-Shih Su, and Yang Li. Taipei Regional Control Center: Hsin-Yi Wei, Meng-Yu Chen, Shiao-Ping Tung, Yu-Fang Tsai, Xiang-Ting Huang, and Chien-Yu Chou. North Regional Control Center: Pei-Yuan Wu, Fang-Tzu Chang, Chia-Ying Yen, Hsueh-Mei Chiang, Ju-Hui Lin, and Ming-Chu Tai. Central Regional Control Center: Kung-Chin Wang, Ching-Fen Ko, Pei-Fang Lai, Du-Ling Lin, Min-Tsung Lin, and Zhi-Jie Ding. South Regional Control Center: Huai-Te Tsai, Ping-Jung Liu, Pei-Yi Lin, Shu-Chen Chang, and Yi-Ying Lin. Kao-Ping Regional Control Center: Hsin-Chun Lee, Chi-Nan Hung, Ching-Li Lin, Chi-Mei Lai, and Hsiao-Mei Liu.
                Additional Contributions: We thank the Taiwan COVID-19 Outbreak Investigation Team, the staffs of regional control centers of the Taiwan Centers for Disease Control (CDC), and partners from other public health bureaus (Taipei City, New Taipei City, Taoyuan City, Taichung City, Tainan City, Kaohsiung City, Changhua, Nantou, Hsinchu, Miaoli, Yunlin, and Ilan County) for their dedicated outbreak investigation and meticulous date collection. Our study could not have been done without their efforts. We also thank Chia-Lin Lee, MSc, and Yu-Lun Liu, MD, MSc, for the development of electronic contact tracing system (Epidemic Intelligence Center, Taiwan CDC); Ching-Hung Wang (TonyQ) for the consultation of system development; Angela Song-En Huang, MD, MPH (Office of Preventive Medicine, Taiwan CDC), for writing assistance. They did not receive compensation outside of their salary.
                Article
                ioi200031
                10.1001/jamainternmed.2020.2020
                7195694
                32356867
                1e8d4ffd-f013-49ad-b614-838578341ea9
                Copyright 2020 Cheng H-Y et al. JAMA Internal Medicine.

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

                History
                : 10 April 2020
                : 21 April 2020
                Funding
                Funded by: Taiwan Ministry of Science and Technology
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