scholarly journals Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

10.2196/19087 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e19087 ◽  
Author(s):  
Chunmei Huang ◽  
Xinjie Xu ◽  
Yuyang Cai ◽  
Qinmin Ge ◽  
Guangwang Zeng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Social Media ◽  
Median Time ◽  
Ground Glass ◽  
Common Symptom ◽  
Sina Weibo ◽  
Chest Computed Tomography ◽  
Illness Onset ◽  
Seeking Help ◽  
Epidemiological Characteristics

Background In December 2019, pneumonia cases of unknown origin were reported in Wuhan City, Hubei Province, China. Identified as the coronavirus disease (COVID-19), the number of cases grew rapidly by human-to-human transmission in Wuhan. Social media, especially Sina Weibo (a major Chinese microblogging social media site), has become an important platform for the public to obtain information and seek help. Objective This study aims to analyze the characteristics of suspected or laboratory-confirmed COVID-19 patients who asked for help on Sina Weibo. Methods We conducted data mining on Sina Weibo and extracted the data of 485 patients who presented with clinical symptoms and imaging descriptions of suspected or laboratory-confirmed cases of COVID-19. In total, 9878 posts seeking help on Sina Weibo from February 3 to 20, 2020 were analyzed. We used a descriptive research methodology to describe the distribution and other epidemiological characteristics of patients with suspected or laboratory-confirmed SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection. The distance between patients’ home and the nearest designated hospital was calculated using the geographic information system ArcGIS. Results All patients included in this study who sought help on Sina Weibo lived in Wuhan, with a median age of 63.0 years (IQR 55.0-71.0). Fever (408/485, 84.12%) was the most common symptom. Ground-glass opacity (237/314, 75.48%) was the most common pattern on chest computed tomography; 39.67% (167/421) of families had suspected and/or laboratory-confirmed family members; 36.58% (154/421) of families had 1 or 2 suspected and/or laboratory-confirmed members; and 70.52% (232/329) of patients needed to rely on their relatives for help. The median time from illness onset to real-time reverse transcription-polymerase chain reaction (RT-PCR) testing was 8 days (IQR 5.0-10.0), and the median time from illness onset to online help was 10 days (IQR 6.0-12.0). Of 481 patients, 32.22% (n=155) lived more than 3 kilometers away from the nearest designated hospital. Conclusions Our findings show that patients seeking help on Sina Weibo lived in Wuhan and most were elderly. Most patients had fever symptoms, and ground-glass opacities were noted in chest computed tomography. The onset of the disease was characterized by family clustering and most families lived far from the designated hospital. Therefore, we recommend the following: (1) the most stringent centralized medical observation measures should be taken to avoid transmission in family clusters; and (2) social media can help these patients get early attention during Wuhan’s lockdown. These findings can help the government and the health department identify high-risk patients and accelerate emergency responses following public demands for help.

scholarly journals Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts (Preprint)

2020 ◽  
Author(s):  
Chunmei Huang ◽  
Xinjie Xu ◽  
Yuyang Cai ◽  
Qinmin Ge ◽  
Guangwang Zeng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Social Media ◽  
Median Time ◽  
Ground Glass ◽  
Common Symptom ◽  
Sina Weibo ◽  
Chest Computed Tomography ◽  
Illness Onset ◽  
Seeking Help ◽  
Epidemiological Characteristics

BACKGROUND In December 2019, pneumonia cases of unknown origin were reported in Wuhan City, Hubei Province, China. Identified as the coronavirus disease (COVID-19), the number of cases grew rapidly by human-to-human transmission in Wuhan. Social media, especially Sina Weibo (a major Chinese microblogging social media site), has become an important platform for the public to obtain information and seek help. OBJECTIVE This study aims to analyze the characteristics of suspected or laboratory-confirmed COVID-19 patients who asked for help on Sina Weibo. METHODS We conducted data mining on Sina Weibo and extracted the data of 485 patients who presented with clinical symptoms and imaging descriptions of suspected or laboratory-confirmed cases of COVID-19. In total, 9878 posts seeking help on Sina Weibo from February 3 to 20, 2020 were analyzed. We used a descriptive research methodology to describe the distribution and other epidemiological characteristics of patients with suspected or laboratory-confirmed SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection. The distance between patients’ home and the nearest designated hospital was calculated using the geographic information system ArcGIS. RESULTS All patients included in this study who sought help on Sina Weibo lived in Wuhan, with a median age of 63.0 years (IQR 55.0-71.0). Fever (408/485, 84.12%) was the most common symptom. Ground-glass opacity (237/314, 75.48%) was the most common pattern on chest computed tomography; 39.67% (167/421) of families had suspected and/or laboratory-confirmed family members; 36.58% (154/421) of families had 1 or 2 suspected and/or laboratory-confirmed members; and 70.52% (232/329) of patients needed to rely on their relatives for help. The median time from illness onset to real-time reverse transcription-polymerase chain reaction (RT-PCR) testing was 8 days (IQR 5.0-10.0), and the median time from illness onset to online help was 10 days (IQR 6.0-12.0). Of 481 patients, 32.22% (n=155) lived more than 3 kilometers away from the nearest designated hospital. CONCLUSIONS Our findings show that patients seeking help on Sina Weibo lived in Wuhan and most were elderly. Most patients had fever symptoms, and ground-glass opacities were noted in chest computed tomography. The onset of the disease was characterized by family clustering and most families lived far from the designated hospital. Therefore, we recommend the following: (1) the most stringent centralized medical observation measures should be taken to avoid transmission in family clusters; and (2) social media can help these patients get early attention during Wuhan’s lockdown. These findings can help the government and the health department identify high-risk patients and accelerate emergency responses following public demands for help.

scholarly journals Pure ground-glass opacity on chest computed tomography: predictive factors for invasive adenocarcinoma

2016 ◽  
Vol 8 (7) ◽  
pp. 1561-1570 ◽  
Author(s):  
Youngkyu Moon ◽  
Sook Whan Sung ◽  
Kyo Young Lee ◽  
Sung Bo Sim ◽  
Jae Kil Park
Keyword(s):  
Computed Tomography ◽  
Predictive Factors ◽  
Ground Glass Opacity ◽  
Ground Glass ◽  
Invasive Adenocarcinoma ◽  
Chest Computed Tomography

scholarly journals Bronchial Leech Infestation in a 15-Year-Old Female

2016 ◽  
Vol 2016 ◽  
pp. 1-4
Author(s):  
Mohammad Ashkan Moslehi ◽  
Mohammad Hadi Imanieh ◽  
Ali Adib
Keyword(s):  
Computed Tomography ◽  
Foreign Body ◽  
Young Children ◽  
Lower Lobe ◽  
Foreign Body Aspiration ◽  
Ground Glass ◽  
Chest Computed Tomography ◽  
X Ray ◽  
Chest X Ray ◽  
The Right

Foreign body aspiration (FBA) is a common incidence in young children. Leeches are rarely reported as FBA at any age. This study describes a 15-year-old female who presented with hemoptysis, hematemesis, coughs, melena, and anemia seven months prior to admission. Chest X-ray showed a round hyperdensity in the right lower lobe. A chest computed tomography (CT) demonstrated an area of consolidation and surrounding ground glass opacities in the right lower lobe. Hematological investigations revealed anemia. Finally, bronchoscopy was performed and a 5 cm leech was found within the rightB7-8bronchus and removed by forceps and a Dormia basket.

Elderly case of non-mucinous bronchioloalveolar carcinoma showing diffuse ground-glass changes on chest computed tomography

2003 ◽  
Vol 3 (3) ◽  
pp. 164-167
Author(s):  
Masayuki Kikawada ◽  
Kentarou Hirao ◽  
Takeshi Shimizu ◽  
Masanori Uno ◽  
Toshihiko Iwamoto ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ground Glass ◽  
Bronchioloalveolar Carcinoma ◽  
Chest Computed Tomography

scholarly journals Probable vertical transmission identified within six hours of life

2020 ◽  
Vol 66 (12) ◽  
pp. 1621-1624
Author(s):  
Fabrício Silva Pessoa ◽  
Marynéa Silva do Vale ◽  
Patrícia Franco Marques ◽  
Susana da Silva Figueira ◽  
Izabel Athayde da Silva Cruz Salgado ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cesarean Section ◽  
Vertical Transmission ◽  
Pregnant Patient ◽  
Ambient Air ◽  
Ground Glass ◽  
Rt Pcr ◽  
Chest Computed Tomography ◽  
Contact Isolation ◽  
Neonatal Icu

SUMMARY We present the case of 33 weeks + weeks pregnant patient (G1P0), with proven COVID-19 infection by RT-PCR and, at admission, she presented with a dry cough and “tiredness when talking,”. Chest computed tomography was performed, which showed the presence of attenuations with ground glass opacification and bilateral consolidations. She then had a cesarean section because of maternal respiratory decompensation. She was transferred to the ICU of the same hospital with an O2 catheter. The newborn was transferred to the neonatal ICU of the same hospital in ambient air and maintained in respiratory and contact isolation. RT-PCR was collected for SARS-COV-2 at 6 h of life, which was positive. Faced with the knowledge gap on vertical transmission, RT-PCR for SARS-COV-2 at 6 h of life gives cause for concern, thus representing the possibility of vertical transmission by SARS-COV-2, although additional investigations are required.

Chest Computed Tomography Findings in a Case Series of Coronavirus Disease 2019 (COVID-19) Patients at Siriraj Hospital

2021 ◽  
Vol 104 (5) ◽  
pp. 866-871
Keyword(s):  
Computed Tomography ◽  
Medical Records ◽  
Case Series ◽  
Ground Glass Opacity ◽  
Chest Ct ◽  
Ground Glass ◽  
Chest Computed Tomography ◽  
Ct Findings ◽  
Siriraj Hospital ◽  
Chest Ct Scan

Background: Recent evidence has demonstrated the high sensitivity of chest computed tomography (CT) in coronavirus disease 2019 (COVID-19) case detection. However, considering the cost and infection control issues, the experience of chest CT for COVID-19 diagnosis in Thailand is still limited. Objective: To present the characteristics of chest CT findings in COVID-19 patients at Siriraj Hospital and compare them with other reports. Materials and Methods: The authors retrospectively reviewed the COVID-19 patients’ medical records between April and May 2020. All cases with the presence of chest CT performed during admission were recruited. Clinical data were retrieved from the patients’ medical records. All chest imaging results were reported by consensus between the authors. Results: From 103 cases, four cases with a chest CT scan during the admission were recruited. Consistent with previous reports, the common chest CT findings included a ground-glass opacity and consolidation with bilateral involvement. A round-shaped ground-glass opacity or consolidation was evidenced in half of the cases. The only case with the presence of chest CT scan, which was done 77 days after the onset of COVID-19 symptoms, revealed resolution of the abnormal findings. Conclusion: Chest CT findings in four COVID-19 cases at Siriraj Hospital are consistent with previous reports. Common findings include bilateral ground-glass opacity and consolidation. Keywords: COVID-19, SARS-CoV-2, Computed tomography, Case series

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