An Online Multiobject Tracking Network for Autonomous Driving in Areas Facing Epidemic

Multi-object tracking is of great importance in autonomous driving. However, with the outbreak of COVID-19, multi-object tracking faces new challenges in areas gripped by epidemics because of complex motion blur, frequent occlusions, and appearance deformations. To reliably improve object trajectory association in epidemic-plagued areas, we propose a temporal-spatial aggregation embedding network (TSAEN) for multi-object tracking. Our embedding network contains a temporal-aware correlation module (TACM) and spatial-aggregate embedding module (SAEM) that can fully obtain and aggregate appearance clues related to moving objects in previous frames. The TACM learns the temporal homogeneity features of the current and previous frames to perceive features with correlated appearance cues. Then, the SAEM adjusts the spatial deformation for each perceived temporal homogeneity feature and aggregates them for re-ID embedding learning. The experimental results demonstrate that our proposed method is able to achieve excellent overall performance. IEEE

Impact of the Inflow Population From Outbreak Areas on the COVID-19 Epidemic in Yunnan Province and the Recommended Control Measures: A Preliminary Study.

Background: COVID-19 developed into a global pandemic in 2020 and poses challenges regarding the prevention and control capabilities of countries. A large number of inbound travelers from other regions could lead to a renewed outbreak of COVID-19 in the local regions. Globally, as a result of the imbalance in the control of the epidemic, all countries are facing the risk of a renewed COVID-19 outbreak brought about by travelers from epidemic areas. Therefore, studies on a proper management of the inbound travelers are urgent. Methods: We collected a total of 4,733,414 inbound travelers and 174 COVID-19 diagnosed patients in Yunnan province from 21 January 2020 to 20 February 2020. Data on place of origin, travel history, age, and gender, as well as whether they had suspected clinical manifestations for inbound travelers in Yunnan were collected. The impact of inbound travelers on the local epidemic was analyzed with a collinear statistical analysis and the effect of the control measures on the epidemic was evaluated with a sophisticated modeling approach. Results: Of the 174 COVID-19 patients, 60.9% were not from Yunnan, and 76.4% had a history of travel in Hubei. The amount of new daily cases in Yunnan was significant correlated with the number of inbound travelers from Hubei and suspected cases among them. Using Susceptible-Exposed-Infectious-Recovered (SEIR) model analysis, we found that the prevention and control measures dropped the local R0 down to 1.07 in Yunnan province. Conclusions: Our preliminary analysis showed that the proper management of inbound travelers from outbreak areas has a significantly positive effect on the prevention and control of the virus. In the process of resettlement, some effective measures taken by Yunnan province may provide an important reference for preventing the renewed COVID-19 outbreak in other regions.

[Suggestions for thoracic surgery clinical practice in non-epidemic area of 2019 coronavirus disease].

In this paper, the mechanism of destroying human alveolar epithelial cells and pulmonary tissue by 2019 novel coronavirus (2019-nCoV) was discussed firstly. There may be multiple mechanisms including killing directly the target cells and hyperinflammatory responses. Secondly, the clinical features, CT imaging, short-term and long-term pulmonary function damage of the 2019 coronavirus disease (COVID-19) was analyzed. Finally, some suggestions for thoracic surgery clinical practice in non-epidemic area during and after the epidemic of COVID-19 were provided, to help all the thoracic surgery patients receive active and effective treatment.

Characteristics of COVID-2019 in areas epidemic from imported cases.

OBJECTIVES: The outbreak of the 2019 novel coronaviruses disease (COVID-2019) in areas with epidemics due to imported cases is a cause of concern in China; however, few studies have reported on the prevalence of COVID-19 in these areas. METHODS: The number of diagnosed cases in Fujian Province was collected, and the time distribution of these cases was analyzed. RESULTS: The results showed that the COVID-19 prevalence in areas with epidemics due to imported cases could be divided into two stages. The first stage was an outbreak dominated by imported cases, with the data showing an obviously skewed distribution. The second stage was dominated by nonimported cases with sporadic and low-level fluctuations. Moreover, the data demonstrated that the ratio of unexplained infections to nonimported cases was increasing. CONCLUSIONS: A two-stage outbreak in areas with epidemics due to imported cases, effective control of the "source of infection" and blocking of the transmission route can significantly minimize the peak height in the first stage and the spread of the epidemic in the second stage. Control of the epidemic in the second stage requires prevention and control of the aggregation of cases caused by unexplained infections.

Suggestions for thoracic surgery clinical practice in non-epidemic area of coronavirus infected disease-19 / 中华外科杂志

In this paper, the mechanism of destroying human alveolar epithelial cells and pulmonary tissue by 2019 novel coronavirus (2019-nCoV) was discussed firstly. There may be multiple mechanisms including killing directly the target cells and hyperinflammatory responses. Secondly, the clinical features, CT imaging, short-term and long-term pulmonary function damage of the 2019 novel coronavirus pneumonia (COVID-19) was analyzed. Finally, some suggestions for thoracic surgery clinical practice in non-epidemic area during and after the epidemic of COVID-19 was provided, to help all the thoracic surgery patients receive active and effective treatment.

Analysis of clinical characteristics of new coronavirus pneumonia patients in secondary epidemic areas / 中华危重病急救医学

Objective@#Understand the clinical characteristics of confirmed pneumonia patients infected with new corona virus in secondary epidemic areas and guide the diagnosis and treatment of novel pneumonia in secondary epidemic areas and provide a reference for clinical prevention and control of the epidemic situation.@*Methods@#The clinical data of 33 patients admitted with pneumonia caused by a novel coronavirus in the Second Affiliated Hospital of Wenzhou Medical University from January 15 to February 1, 2020, were retrospectively reviewed. At the onset of the disease, we analyzed the primary symptoms such as fever, cough, fatigue, chest tightness, chest pain and also a significant blood test results of the patients. According to the patient's contact history, it was divided into the direct infection group of the main epidemic area and the indirect contact infection group of the main epidemic areas. The difference between clinical manifestations among the two groups was analyzed.@*Results@#The main clinical symptoms of patients with novel coronavirus pneumonia in the secondary epidemic area were respiratory tract and systemic symptoms. After grouping according to the presence and absence of direct contact in the main epidemic area, there was no significant difference in baseline data between the two groups, and there was no significant difference in symptoms and signs between the two groups (P < 0.05). Some patients had serum amyloid protein (SAP) increased abnormall.@*Conclusions@#The respiratory tract and systemic symptoms are the primary symptoms of the patients with the new type of coronavirus pneumonia in the secondary epidemic area, which are not typical. The abnormal increase of serum amyloid protein (SAA) may be used as an auxiliary index for diagnosis and treatment.