Corpus overview


Overview

MeSH Disease

Human Phenotype

Cough (88)

Fever (77)

Pneumonia (30)

Fatigue (27)

Headache (12)


Transmission

Seroprevalence
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    A Large-Scale Clinical Validation Study Using nCapp Cloud Plus Terminal by Frontline Doctors for the Rapid Diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP in China

    Authors: Dawei Yang; Tao Xu; Xun Wang; Deng Chen; Ziqiang Zhang; Lichuan Zhang; Jie Liu; Kui Xiao; Li Bai; Yong Zhang; Lin Zhao; Lin Tong; Chaomin Wu; Yaoli Wang; Chunling Dong; Maosong Ye; Yu Xu; Zhenju Song; Hong Chen; Jing Li; Jiwei Wang; Fei Tan; Hai Yu; Jian Zhou; Jinming Yu; Chunhua Du; Hongqing Zhao; Yu Shang; Linian Huang; Jianping Zhao; Yang Jin; Charles A. Powell; Yuanlin Song; Chunxue Bai

    doi:10.1101/2020.08.07.20163402 Date: 2020-08-11 Source: medRxiv

    Background The outbreak of coronavirus disease MESHD 2019 (COVID-19) has become a global pandemic acute infectious disease MESHD, especially with the features of possible asymptomatic TRANS carriers TRANS and high contagiousness. It causes acute respiratory distress HP syndrome MESHD and results in a high mortality rate if pneumonia MESHD pneumonia HP is involved. Currently, it is difficult to quickly identify asymptomatic TRANS cases or COVID-19 patients with pneumonia MESHD pneumonia HP due to limited access to reverse transcription-polymerase chain reaction (RT-PCR) nucleic acid tests and CT scans, which facilitates the spread of the disease TRANS disease MESHD at the community level, and contributes to the overwhelming of medical resources in intensive care units. Goal This study aimed to develop a scientific and rigorous clinical diagnostic tool for the rapid prediction of COVID-19 cases based on a COVID-19 clinical case database in China, and to assist global frontline doctors to efficiently and precisely diagnose asymptomatic TRANS COVID-19 patients and cases who had a false-negative RT-PCR test result. Methods With online consent, and the approval of the ethics committee of Zhongshan Hospital Fudan Unversity (approval number B2020-032R) to ensure that patient privacy is protected, clinical information has been uploaded in real-time through the New Coronavirus Intelligent Auto-diagnostic Assistant Application of cloud plus terminal (nCapp) by doctors from different cities (Wuhan, Shanghai, Harbin, Dalian, Wuxi, Qingdao, Rizhao, and Bengbu) during the COVID-19 outbreak in China. By quality control and data anonymization on the platform, a total of 3,249 cases from COVID-19 high-risk groups were collected. These patients had SARS-CoV-2 RT-PCR test results and chest CT scans, both of which were used as the gold standard for the diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP. In particular, the dataset included 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, and 122 asymptomatic TRANS cases who had positive RT-PCR test results, amongst whom 31 cases were diagnosed. We also integrated the function of a survey in nCapp to collect user feedback from frontline doctors. Findings We applied the statistical method of a multi-factor regression model to the training dataset (1,624 cases) and developed a prediction model for COVID-19 with 9 clinical indicators that are fast and accessible: 'Residing or visiting history in epidemic regions', 'Exposure history to COVID-19 patient', 'Dry cough MESHD cough HP', ' Fatigue MESHD Fatigue HP', 'Breathlessness', 'No body temperature decrease after antibiotic treatment', 'Fingertip blood SERO oxygen saturation<=93%', ' Lymphopenia MESHD Lymphopenia HP', and 'C-reactive protein (CRP) increased'. The area under the receiver operating characteristic (ROC) curve (AUC) for the model was 0.88 (95% CI: 0.86, 0.89) in the training dataset and 0.84 (95% CI: 0.82, 0.86) in the validation dataset (1,625 cases). To ensure the sensitivity SERO of the model, we used a cutoff value of 0.09. The sensitivity SERO and specificity of the model were 98.0% (95% CI: 96.9%, 99.1%) and 17.3% (95% CI: 15.0%, 19.6%), respectively, in the training dataset, and 96.5% (95% CI: 95.1%, 98.0%) and 18.8% (95% CI: 16.4%, 21.2%), respectively, in the validation dataset. In the subset of the 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, the model predicted 132 cases, accounting for 96.4% (95% CI: 91.7%, 98.8%) of the cases. In the subset of the 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, the model predicted 59 cases, accounting for 95.2% (95% CI: 86.5%, 99.0%) of the cases. Considering the specificity of the model, we used a cutoff value of 0.32. The sensitivity SERO and specificity of the model were 83.5% (95% CI: 80.5%, 86.4%) and 83.2% (95% CI: 80.9%, 85.5%), respectively, in the training dataset, and 79.6% (95% CI: 76.4%, 82.8%) and 81.3% (95% CI: 78.9%, 83.7%), respectively, in the validation dataset, which is very close to the published AI model. The results of the online survey 'Questionnaire Star' showed that 90.9% of nCapp users in WeChat mini programs were 'satisfied' or 'very satisfied' with the tool. The WeChat mini program received a significantly higher satisfaction rate than other platforms, especially for 'availability and sharing convenience of the App' and 'fast speed of log-in and data entry'. Discussion With the assistance of nCapp, a mobile-based diagnostic tool developed from a large database that we collected from COVID-19 high-risk groups in China, frontline doctors can rapidly identify asymptomatic TRANS patients and avoid misdiagnoses of cases with false-negative RT-PCR results. These patients require timely isolation or close medical supervision. By applying the model, medical resources can be allocated more reasonably, and missed diagnoses can be reduced. In addition, further education and interaction among medical professionals can improve the diagnostic efficiency for COVID-19, thus avoiding the transmission TRANS of the disease from asymptomatic MESHD asymptomatic TRANS patients at the community level.

    Risk stratification as a tool to rationalize quarantine among health care workers exposed to COVID-19 cases - Evidence from a tertiary healthcare centre in India

    Authors: Ravneet Kaur; Shashi Kant; Mohan Bairwa; Arvind Kumar; Shivram Dhakad; Vignesh Dwarakanathan; Aftab Ahmad; Pooja Pandey; Arti Kapil; Rakesh Lodha; Naveet Wig

    doi:10.1101/2020.07.31.20166264 Date: 2020-08-04 Source: medRxiv

    Background: Quarantine of healthcare workers (HCWs) exposed to COVID 19 confirmed cases TRANS is a well known strategy for limiting the transmission TRANS of infection MESHD. However, there is a need for evidence-based guidelines for the quarantine of HCWs in COVID 19. Methods: We describe our experience of contact tracing TRANS and risk stratification of 3853 HCWs who were exposed to confirmed COVID-19 cases in a tertiary health care institution in India. We developed an algorithm, on the basis of risk stratification, to rationalize quarantine among HCWs. Risk stratification was based on the duration of exposure, distance from the patient, and appropriateness of personal protection equipment (PPE) usage. Only high-risk contacts were quarantined for 14 days. They underwent testing for COVID 19 after five days of exposure, while low risk contacts continued their work with adherence to physical distancing, hand hygiene, and appropriate use of PPE. The low-risk contacts were encouraged to monitor for symptoms and report for COVID 19 screening if fever MESHD fever HP, cough MESHD cough HP, or shortness of breath occurred. We followed up all contacts for 14 days from the last exposure and observed for symptoms of COVID 19 and test positivity. Results and interpretation: Out of total 3853 contacts, 560 (14.5%) were categorized as high-risk contacts, and 40 of them were detected positive for COVID 19, with a test positivity rate of 7.1% (95% CI = 5.2, 9.6). Overall, 118 (3.1%) of all contacts tested positive. Our strategy prevented 3215 HCWs from being quarantined and saved 45,010 person-days of health workforce until June 8, 2020, in the institution. We conclude that exposure-based risk stratification and quarantine of HCWs is a viable strategy to prevent unnecessary quarantine, in a healthcare institution.

    Children TRANS with COVID-19 like symptoms in Italian Pediatric Surgeries: the dark side of the coin

    Authors: Gianfranco Trapani; Vassilios Fanos; Enrico Bertino; Giulia Maiocco; Osama Al Jamal; Michele Fiore; VIncenzo Bembo; Domenico Careddu; Lando Barberio; Luisella Zanino; Giuseppe Verlato

    doi:10.1101/2020.07.27.20149757 Date: 2020-07-29 Source: medRxiv

    BACKGROUND: Symptoms of SARS-CoV-2 infection MESHD in children TRANS are nonspecific and shared with other common acute viral illnesses ( fever MESHD fever HP, respiratory or gastrointestinal symptoms, and cutaneous signs), thus making clinical differential diagnosis tricky. In Italy, first line management of pediatric care is handed over to Primary Care Pediatricians (PCPs), who were not allowed to directly perform diagnostic tests during the recent COVID-19 outbreak. Without a confirmatory diagnosis, PCPs could only collect information on ''COVID-19 like symptoms'' rather than identify typical COVID-19 symptoms. AIM: To evaluate the prevalence SERO of COVID-19 like symptoms in outpatient children TRANS, during Italian lockdown. To provide PCPs a risk score to be used in clinical practice during the differential diagnosis process. METHODS: A survey was submitted to 50 PCPs (assisting 47,500 children TRANS) from 7 different Italian regions between the 4th of March and the 23rd of May 2020 (total and partial lockdown period). COVID-19 like symptoms in the assisted children TRANS were recorded, as well as presence of confirmed/suspected cases in children TRANS's families, which was taken as proxy of COVID-19. Multivariable logistic regression was accomplished to estimate the risk of having suspected/ confirmed cases TRANS in families, considering symptoms as potential determinants. RESULTS: 2,300 children TRANS (4.8% of overall survey population) fell HP ill with COVID-19 like symptoms, 3.1% and 1.7% during total and partial lockdown period respectively. The concurrent presence of fatigue MESHD fatigue HP, cough MESHD cough HP, and diarrhea MESHD diarrhea HP in children TRANS, in absence of sore throat/ earache MESHD and abnormal skin signs, represents the maximum risk level of having a suspected/ confirmed case TRANS of COVID-19 at home. CONCLUSIONS: The percentage of children TRANS presenting COVID-19 like symptoms at home has been remarkable also during the total lockdown period. The present study identified a pattern of symptoms which could help, in a cost-effective perspective, PCPs in daily clinical practice to define priorities in addressing children TRANS to the proper diagnostic procedure.

    A nomogram for predicting the severity of COVID-19 using laboratory examination and CT findings 

    Authors: Yani Kuang; Susu He; Shuangxiang Lin; Rui Zhu; Rongzhen Zhou; Jian Wang; Renzhan Li; Haiyong Lin; Zhibang Zhang; Peipei Pang; Wenbin Ji

    doi:10.21203/rs.3.rs-46841/v1 Date: 2020-07-21 Source: ResearchSquare

    Background: The outbreak of COVID-19 has a significant impact on the health of people around the world. In the clinical condition of COVID-19, the condition of critical cases changes rapidly with a high mortality rate. Therefore, early prediction of disease MESHD severity and active intervention play an important role in the prognosis of severe patients.Methods: All the patients with COVID-19 in Taizhou city were retrospectively included and segregated into the non-severe and severe group according to the severity of the disease MESHD. The clinical manifestations, laboratory examination results, and imaging findings of the 2 groups were analysed for comparing the differences between the 2 groups. Univariate and multivariate logistic regression were used for screening the factors that could predict the disease MESHD, and the nomogram was constructed.Results: A total of 143 laboratory- confirmed cases TRANS were included in the study, including 110 non-severe patients and 33 severe patients. The median age TRANS of patients was 47 years (range, 4–86 years). Fever MESHD Fever HP (73.4%) and cough MESHD cough HP (63.6%) were the most common initial clinical symptoms. By using the method of multivariate logistic regression, the variables to construct nomogram include age TRANS (OR: 1.052, 95% CI: 1.020–1.086, P = 0.001), body temperature (OR: 2.252, 95% CI: 1.139–4.450, P = 0.020), lymphocyte count (OR: 1.128, 95% CI: 1.000–1.272, P = 0.049), ADA (OR: 1.163, 95% CI: 1.023–1.323, P = 0.021), PaO2 (OR: 0.972, 95% CI: 0.953–0.992, P = 0.007), IL-10 (OR: 1.184, 95% CI: 1.037–1.351, P = 0.012), and bronchiectasis MESHD bronchiectasis HP (OR: 3.818, 95% CI: 1.694–8.605, P = 0.001). The AUC of the established nomogram was 0.877.Conclusions: This study established a stable nomogram for predicting the severity of COVID-19, and the clinicians can use the established nomogram for predicting the severity of newly diagnosed COVID-19 patients and to conduct active intervention for minimising the mortality rate and improving the prognosis of severe patients.

    Anesthesia for an emergency MESHD gastrorrhagia operation in a patient suspected with COVID-19: a case report

    Authors: Yu Chen; Hao Lv

    doi:10.21203/rs.3.rs-44673/v1 Date: 2020-07-17 Source: ResearchSquare

    BackgroundThe spread of the Coronavirus Disease MESHD 2019 (COVID-19) in China since December 2019 was very grave. According to Chinese govenment's guidelines, patients can be divided into confirmed cases TRANS and suspected cases. The protective measures for both are the same.Case summaryWe report a case of an emergency MESHD gastrorrhagia operation for a patient suspected to have contracted COVID-19. A 54-year-old man with massive gastric hemorrhage MESHD was scheduled for an emergency MESHD operation for exploratory hemostasis. COVID-19 infection MESHD, however, could not be ruled out, and the patient was treated as a suspected case. All the protective measures were based on patients infected or suspected to be infected with COVID-19. Before the operation, we carried out a series of protective measures, such as preparing the operating room and wearing personal protective gear. We increased the dose of neuromuscular blocking agents during the induction of anesthesia to prevent the splashing of secretions by coughing MESHD coughing HP. The operation went smoothly, and the patient was transferred to an intensive care unit (ICU) in the isolation ward for extubation. Seven days later, the patient was ruled out for COVID-19 infection MESHD. ConclusionThe patient recovered successfully from the massive gastric hemorrhage MESHD, and the medical staff were not infected.

    Early detection of COVID-19 pandemic: evidence from Baidu Index

    Authors: Bizhi Tu; Laifu Wei; Yaya Jia; Jun Qian

    doi:10.21203/rs.3.rs-44082/v1 Date: 2020-07-16 Source: ResearchSquare

    Background: New coronavirus disease MESHD 2019 (COVID-19) poses a severe threat to human life, and causes a global pandemic. The purpose of current research is to explore the onset and progress of the pandemic with a novel perspective using Baidu Index.Methods: We collected the confirmed data of COVID-19 infection MESHD between January 11, 2020, and April 22, 2020, from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Based on known literature, we obtained the search index values of the most common symptoms of COVID-19, including fever MESHD fever HP, cough MESHD cough HP, fatigue MESHD fatigue HP, sputum production, and shortness of breath. Spearman's correlation analysis was used to analyze the association between the Baidu index values for each COVID-19-related symptoms and the number of confirmed cases TRANS. Regional differences among 34 provinces/ regions were also analyzed. Results: Daily growth of confirmed cases TRANS and Baidu index values for each symptoms presented a robust positive correlation during the outbreak ( fever MESHD fever HP: rs=0.705, p=9.623×10-6; cough MESHD cough HP: rs=0.592, p=4.485×10-4; fatigue MESHD fatigue HP: rs=0.629, p=1.494×10-4; sputum production: rs=0.648, p=8.206×10-5; shortness of breath: rs=0.656, p=6.182×10-5). The average search-to-confirmed interval is 19.8 days in China ( fever MESHD fever HP: 22 days, cough MESHD cough HP: 19 days, fatigue MESHD fatigue HP: 20 days, sputum production: 19 days, and shortness of breath: 19 days). We discovered similar results in the top 10 provinces/regions, which had the highest cumulative cases. Conclusion: Search terms of COVID-19- related symptoms on the Baidu search engine can be used to early warn the outbreak of the epidemic. Relevant departments need to pay more attention to areas with high search index and take precautionary measures to prevent these potentially infected persons from spreading further. Baidu search engine can reflect the public's attention to the pandemic and regional epidemics of viruses. Based on changes in the Baidu index value, we can predict the arrival of the peak confirmed cases TRANS. The clinical characteristics related to COVID-19- including fever MESHD fever HP, cough MESHD cough HP, fatigue MESHD fatigue HP, shortness of breath, deserve more attention during the pandemic.

    Epidemiological and clinical characteristics of COVID-19 pneumonia MESHD pneumonia HP in Zhejiang province, China: a description of early stage

    Authors: Caixia Gong; Cheng Ma; Shumin Li; Yunmei Yang; Qin Zhang

    doi:10.21203/rs.3.rs-44201/v1 Date: 2020-07-16 Source: ResearchSquare

    BackgroundThe outbreak of the 2019 novel coronavirus since December, 2019, has now causing nearly 75 thousand confirmed cases TRANS in China (until paper preparing). This epidemic has posed significant threats to international health and the economy. Zhejiang province, which once had the 2nd most accumulative cases among all provinces, has now dropped to top No.5 (until paper preparing). It had a high discharge rates (43.86%) from hospital and the lowest death MESHD rate among all top 5 epidemic provinces, this drew our attention to the epidemiological, clinical characteristics and local government engagement of this region.MethodsIn this study, we included all confirmed cases TRANS of COVID-19 pneumonia MESHD pneumonia HP in Zhejiang province from Jan 21 to Feb 11, 2020. All data come from cases issued by Zhejiang provincial health commission.ResultsUntil Feb 11, 2020, 1143 cases were confirmed TRANS in Zhejiang province. We analysed the cases growth information in Zhejiang province and age TRANS, gender TRANS, severe cases percent, the source of the patients, the time of disease MESHD onset to confirm and the clinical symptoms of the patients. We also compared the clinical symptoms of elders and the young.ConclusionsThe patients in Zhejiang province had no age TRANS and gender TRANS preference, and the average time of disease MESHD onset to confirm was 5.9 days. The clinical symptoms were mainly fever MESHD fever HP, cough MESHD cough HP and weakness, similarly with before reported. The difference between elders and younger are not significant. Until paper preparing, Zhejiang province has very high discharge rate and low death MESHD rate, low cases increase rate in China.

    RT-PCR testing to detect a COVID-19 outbreak in Austria: rapid, accurate and early diagnosis in primary care (The REAP study)

    Authors: Werner Leber; Oliver Lammel; Monika Redlberger-Fritz; Maria Elisabeth Mustafa-Korninger; Karin Stiasny; Reingard Christina Glehr; Eva-Maria Hochstrasser; Christian Hoellinger; Andrea Siebenhofer; Chris Griffiths; Jasmina Panovska-Griffiths

    doi:10.1101/2020.07.13.20152439 Date: 2020-07-15 Source: medRxiv

    Background Delay in COVID-19 detection has led to a major pandemic. We report rapid early detection of SARS-CoV-2 by reverse transcriptase-polymerase chain reaction (RT-PCR), comparing it to the serostatus of convalescent infection MESHD, at an Austrian National Sentinel Surveillance Practice in an isolated ski-resort serving a population of 22,829 people. Methods Retrospective dataset of all 73 patients presenting with mild to moderate flu-like symptoms to a sentinel practice in the ski-resort of Schladming-Dachstein, Austria, between 24 February and 03 April, 2020. We split the outbreak in two halves, by dividing the period from the first to the last case by two, to characterise the following three cohorts of patients with confirmed infection TRANS infection MESHD: people with reactive RT-PCR presenting during the first half (early acute infection MESHD) vs. those presenting in the second half (late acute), and people with non-reactive RT-PCR (late convalescent). For each cohort we report the number of cases detected, the accuracy of RT-PCR and the duration of symptoms. We also report multivariate regression of 15 clinical symptoms as covariates, comparing all people with convalescent infection MESHD to those with acute infection MESHD. Findings All 73 patients had SARS-CoV-2 RT-PCR testing. 22 patients were diagnosed with COVID-19, comprising: 8 patients presenting early acute, and 7 presenting late acute and 7 late convalescent respectively; 44 patients tested SARS-COV-2 negative, and 7 were excluded. RT-PCR sensitivity SERO was high (100%) among acute presenters, but dropped to 50% in the second half of the outbreak; specificity was 100%. The mean duration of symptoms was 2 days (range 1-4) among early acute presenters, and 4.4 days (1-7) among late acute and 8 days (2-12) among late convalescent presenters respectively. Convalescent infection MESHD was only associated with loss of taste (ORs=6.02;p=0.047). Acute infection MESHD was associated with loss of taste (OR=571.72;p=0.029), nausea MESHD nausea and vomiting HP and vomiting MESHD (OR=370.11;p=0.018), breathlessness (OR=134.46;p=0.049), and myalgia MESHD myalgia HP (OR=121.82;p=0.032); but not loss of smell, fever MESHD fever HP or cough MESHD cough HP. Interpretation RT-PCR rapidly and reliably detects early COVID-19 among people presenting with viral illness and multiple symptoms in primary care, particularly during the early phase of an outbreak. RT-PCR testing in primary care should be prioritised for effective COVID-19 prevention and control.

    Clinical Characteristics and outcomes in HBV carriers TRANS with COVID-19 in WuHan, China: a retrospective cohort study

    Authors: Jingjing Lu; Mu Hu; Xia Zhou; Hui Zhu; Feilong Wang; Jianhao Huang; Zhongliang Guo; Qiang Li; Qi Yin; Zhifeng Yang

    doi:10.21203/rs.3.rs-42476/v1 Date: 2020-07-13 Source: ResearchSquare

    Background: Coronavirus 2019 (COVID-19) is a novel infectious disease MESHD that was first reported in Wuhan, China, but has spread to all parts of the world. At the same time, because China has millions of HBV carriers TRANS, HBV infection MESHD has become a major public health problem in China. In this study, we aim to describe the clinical features of HBV carriers TRANS (AsC) infected with COVID-19 and to assess the factors that may affect the outcome during disease progression MESHD.Methods: This retrospective cohort study included 72 patients diagnosed with COVID-19 in Wuhan Jinyintan Hospital. These patients were also diagnosed as HBV carriers TRANS. The epidemiological characteristics, demographic features, clinical manifestations, laboratory test, treatment, management and final outcome were collected and analyzed.Results: The median age TRANS of 72 patients is 58.5 years old, of which 55.56% (n=40) are male TRANS. 20 (30.56%) patients were severe cases and 50 (69.44%) were non-severe cases. Fever MESHD Fever HP is the most common symptom, followed by cough MESHD cough HP, chest tightness HP and sputum. Laboratory test results including hematologic, biochemical, infection MESHD and coagulation parameters and several indicators, such as Aspartate Aminotransferase (AST), Total Bilirubin (TBil), Direct Bilirubin (DBil), Indirect Bilirubin (IBil), γ-glutamyl Transferase (GGT) showed difference between their admission and discharge. The level of Prealbumin (PA) and Serum SERO Amyloid A (SAA) in the study showed a significant trend from high to low, which has statistical significance.Conclusions: The clinical features of HBV carriers TRANS with COVID-19 have obvious systemic symptoms, such as fever MESHD fever HP, cough MESHD cough HP, and chest tightness HP. Compared with liver function data on admission and discharge, SARS-CoV-2 does not directly activate the Hepatitis B MESHD Hepatitis HP virus, and the risk of liver cell damage of HBV carriers TRANS with COVID-19 does not increase. Both PA and SAA are sensitive indicators and can be used to evaluate the prognosis and outcome of these patients.

    The emergence of COVID-19 in Indonesia: analysis of predictors of infection MESHD and mortality using independent and clustered data approaches

    Authors: Erlina Burhan; Ari Fahrial Syam; Ahmad Jabir Rahyussalim; Prasenohadi Prasenohadi; Navy G Lolong Wulung; Agus Dwi Susanto; I Gede Ketut Sajinadiyasa; Dewi Puspitorini; Dewi Lestari; Indah Suci Widyahening; Vivi Setiawaty; Dwiana Ocviyanti; Kartika Qonita Putri; Aswin Guntara; Davrina Rianda; Anuraj H Shankar; Rina Agustina

    doi:10.1101/2020.07.10.20147942 Date: 2020-07-11 Source: medRxiv

    Background: Analyses of correlates of SARS-CoV-2 infection MESHD or mortality have usually assessed individual predictors. This study aimed to determine if patterns of combined predictors may better identify risk of infection TRANS risk of infection TRANS infection MESHD and mortality. Methods: For the period of March 2nd to 10th 2020, the first 9 days of the COVID-19 pandemic in Indonesia, we selected all 18 confirmed cases TRANS, of which 6 died, and all 60 suspected cases, of which 1 died; and 28 putatively negative patients with pneumonia MESHD pneumonia HP and no travel TRANS history. We recorded data for travel TRANS, contact history, symptoms, haematology, comorbidities, and chest x-ray. Hierarchical cluster analyses (HCA) and principal component analyses (PCA) identified cluster and covariance patterns for symptoms or haematology which were analysed with other predictors of infection MESHD or mortality using logistic regression. Results: For univariate analyses, no significant association with infection MESHD was seen for fever MESHD fever HP, cough MESHD cough HP, dyspnoea, headache MESHD headache HP, runny nose, sore throat, gastrointestinal complaints (GIC), or haematology. A PCA symptom component for fever MESHD fever HP, cough MESHD cough HP, and GIC tended to increase risk of infection TRANS risk of infection TRANS infection MESHD (OR 3.41; 95% CI 1.06 - 14; p=0.06), and a haematology component with elevated monocytes decreased risk (OR 0.26; 0.07 - 0.79; 0.027). Multivariate analysis revealed that an HCA cluster of 3-5 symptoms, typically fever MESHD fever HP, cough MESHD cough HP, headache MESHD headache HP, runny nose, sore throat but little dyspnoea and no GIC tended to reduce risk (aOR 0.048; <0.001 - 0.52; 0.056). In univariate analyses for death MESHD, an HCA cluster of cough MESHD cough HP, fever MESHD fever HP and dyspnoea had increased risk (OR 5.75; 1.06 - 31.3, 0.043), but no other individual predictor, cluster or component was associated. Other significant predictors of infection MESHD were age TRANS >= 45, international travel TRANS, contact with COVID-19 patient, and pneumonia MESHD pneumonia HP. Diabetes and history of contact were associated with higher mortality. Conclusions: Cluster groups and co-variance patterns may be stronger correlates of SARS-CoV-2 infection MESHD than individual predictors. Comorbidities may warrant careful attention as would COVID-19 exposure levels.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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