Symptom Clustering Patterns and Population Characteristics of COVID-19 Based on Text Clustering Method.

Background: Descriptions of single clinical symptoms of coronavirus disease 2019 (COVID-19) have been widely reported. However, evidence of symptoms associations was still limited. We sought to explore the potential symptom clustering patterns and high-frequency symptom combinations of COVID-19 to enhance the understanding of people of this disease. Methods: In this retrospective cohort study, a total of 1,067 COVID-19 cases were enrolled. Symptom clustering patterns were first explored by a text clustering method. Then, a multinomial logistic regression was applied to reveal the population characteristics of different symptom groups. In addition, time intervals between symptoms onset and the first visit were analyzed to consider the effect of time interval extension on the progression of symptoms. Results: Based on text clustering, the symptoms were summarized into four groups. Group 1: no-obvious symptoms; Group 2: mainly fever and/or dry cough; Group 3: mainly upper respiratory tract infection symptoms; Group 4: mainly cardiopulmonary, systemic, and/or gastrointestinal symptoms. Apart from Group 1 with no obvious symptoms, the most frequent symptom combinations were fever only (64 cases, 47.8%), followed by dry cough only (42 cases, 31.3%) in Group 2; expectoration only (21 cases, 19.8%), followed by expectoration complicated with fever (10 cases, 9.4%) in Group 3; fatigue complicated with fever (12 cases, 4.2%), followed by headache complicated with fever was also high (11 cases, 3.8%) in Group 4. People aged 45-64 years were more likely to have symptoms of Group 4 than those aged 65 years or older (odds ratio [OR] = 2.66, 95% CI: 1.21-5.85) and at the same time had longer time intervals. Conclusions: Symptoms of COVID-19 could be divided into four clustering groups with different symptom combinations. The Group 4 symptoms (i.e., mainly cardiopulmonary, systemic, and/or gastrointestinal symptoms) happened more frequently in COVID-19 than in influenza. This distinction could help deepen the understanding of this disease. The middle-aged people have a longer time interval for medical visit and was a group that deserve more attention, from the perspective of medical delays.

Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China.

BACKGROUND: This study was intended to investigate the epidemiological characteristics of COVID-19 clusters and the severity distribution of clinical symptoms of involved cases in Sichuan Province, so as to provide information support for the development and adjustment of strategies for the prevention and control of local clusters. METHODS: The epidemiological characteristics of 67 local clusters of COVID-19 cases in Sichuan Province reported as of March 17, 2020 were described and analyzed. Information about all COVID-19 clusters and involved cases was acquired from the China Information System for Disease Control and Prevention and analyzed with the epidemiological investigation results taken into account. RESULTS: The clusters were temporally and regionally concentrated. Clusters caused by imported cases from other provinces accounted for 73.13%; familial clusters accounted for 68.66%; the average attack rate was 8.54%, and the average secondary attack rate was 6.11%; the median incubation period was 8.5 d; a total of 28 cases met the criteria for incubation period determination, and in the 28 cases, the incubation period was > 14 d in 21.43% (6/28). a total of 226 confirmed cases were reported in the 67 clusters. Ten cases were exposed before the confirmed cases they contacted with developed clinical symptoms, and the possibility of exposure to other infection sources was ruled out; two clusters were caused by asymptomatic carriers; confirmed cases mainly presented with fever, respiratory and systemic symptoms; a gradual decline in the severity of clinical symptoms was noted with the increase of the case generation. CONCLUSIONS: Population movement and gathering restrictions and strict close contact management measures will significantly contribute to the identification and control of cases. Transmission during the incubation period and asymptomatic infections have been noted. Studies on the pathogenicity and transmissibility in these populations and on COVID-19 antibody levels and protective effects in healthy people and cases are required.

Associations between short-term exposure to gaseous pollutants and pulmonary heart disease-related mortality among elderly people in Chengdu, China.

BACKGROUND: Pulmonary heart disease (PHD) has become a global burden, especially in low- and middle-income countries. However, very few studies have assessed the influence of air pollution on PHD. This is the first study to explore the association between gaseous pollutants and PHD-related mortality in the central Sichuan Basin of southwestern China. METHODS: Data on PHD-related mortality among elderly people (aged 60 and older) from 2013 to 2017 were collected from the Population Death Information Registration and Management System (PDIRMS). Data on air pollutants were collected from all 24 Municipal Environmental Monitoring Sites in Chengdu, and data on daily temperature, relative humidity, and atmospheric pressure were collected from the Chengdu Municipal Meteorological Bureau. An epidemiological design of time-stratified case-crossover was conducted to assess the association between short-term exposure to ambient gaseous pollutants and PHD-related mortality among elderly people. RESULTS: About 54,920 PHD-related deaths among people aged 60 and older were reported. After controlling for daily temperature, relative humidity, and atmospheric pressure, an IQR concentration increase in levels of sulfur dioxide (SO2) (13 µg/m3), nitrogen dioxide (NO2) (17 µg/m3), and ozone (O3) (74 µg/m3) was associated with 7.8, 6.2, and 5.5% increases in PHD-related mortality in people aged 60 and older, respectively. People over age 70 might have even higher susceptibility to PHD-related mortality associated with SO2, NO2, and O3. Females and individuals with alternative marital statuses (widowed, divorced, or never married) had twice and more than twice the PHD-related mortality risk associated with SO2 and NO2 than males and married individuals, respectively. CONCLUSIONS: Increased concentrations of ambient SO2, NO2, and O3 were significantly and positively associated with PHD-related mortality in Chengdu, China. Sociodemographic factors - including gender, age, and marital status - may modify the acute health effects of gaseous pollutants.

Human infection with a novel, highly pathogenic avian influenza A (H5N6) virus: Virological and clinical findings.

BACKGROUND AND OBJECTIVES: Severe infection with avian influenza A (H5N6) virus in humans was identified first in 2014 in China. Before that, it was unknown or unclear if the disease or the pathogen affected people. This study illustrates the virological and clinical findings of a fatal H5N6 virus infection in a human patient. METHODS: We obtained and analyzed the clinical, epidemiological, and virological data from the patient. Reverse transcription polymerase chain reaction (RT-PCR), viral culture, and sequencing were conducted for determination of the causative pathogen. RESULTS: The patient, who presented with fever, severe pneumonia, leucopenia, and lymphopenia, developed septic shock and acute respiratory distress syndrome (ARDS), and died on day 10 after illness onset. A novel reassortant avian-origin influenza A (H5N6) virus was isolated from the throat swab or trachea aspirate of the patient. The virus was reassorted with the HA gene of clade 2.3.4.4 H5, the internal genes of clade 2.3.2.1 H5, and the NA gene of the H6N6 avian virus. The cleavage site of the HA gene contained multiple basic amino acids, indicating that the novel H5N6 virus was highly pathogenic in chicken. CONCLUSIONS: A novel, highly pathogenic avian influenza H5N6 virus with a backbone of H5N1 virus acquired from the NA gene from the H6N6 virus has been identified. It caused human infection resulting in severe respiratory disease.

[Study on the natural foci of Marmota himalayana plague in Sichuan province].

OBJECTIVE: To explore the existence of natural foci on Marmota himalayana plague in Sichuan province and to provide basis for prevention and control of the disease. METHODS: Both epidemiological investigation and laboratory tests were used to provide the host animal and fleas of the vectors with Yersinia pestis carriers. RESULTS: 30 species of animals were found to belong to 10 orders. Ochotona curzoniae and M. himalayana were the most common ones while 7 species of the fleas belonged to 7 genera and 3 families. M. himalayana was the main reservoirs while Callopsylla dolabris and Oropsylla silantiewi served as vectors. The 13 Y. pestis were identified from 43 Marmota samples. 8 samples were identified under IHA, with the highest titer of herding-dogs serum as 1:10,240. 19 samples were F1 antigen positive using RIHA and the highest titer of M. himalayana serum was 1:409,600. The major foci was 4545 km2, distributed at Dege county in Sichuan province. CONCLUSION: We have confirmed the existence of natural foci on M. himalayana plague in Sichuan province.

Preparation and response of medical and health institutions when energy flow is interrupted and infrastructure is damaged.

Energy interruption and infrastructure damage are the common characteristic between the snow disaster occurred in some southern provinces of China and the 5.12 Wenchuan earthquake in China in 2008. This paper summaries the effects on medical and health institutions caused by interruption of energy flow and damaged infrastructure, shares the preparation and response practices, experience, and lessons of medical disasters, and gives suggestions about how to prepare and response for medical and health institutions when energy flow is interrupted and infrastructure is damaged.