Laboratory detection of SARS-CoV-2: A review of the current literature and future perspectives

Nowadays, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), whose infectivity is awfully strong, has been a major global threat to the public health. Since lung is the major target of SARS-CoV-2, the infection can lead to respiratory distress syndrome (RDS), multiple organ failure (MOF), and even death. The studies on viral structure and infection mechanism have found that angiotensin-converting enzyme 2 (ACE2), a pivotal enzyme affecting the organ-targeting in the RAS system, is the receptor of the SARS-CoV-2 virus. Currently, the detection of SARSCoV-2 is mainly achieved using open plate real-time reverse-transcription polymerase chain reaction (RT-PCR). While open plate method has some limitations, such as a high false-negative rate, cumbersome manual operation, aerosol pollution and leakage risks. Therefore, a convenient method to rapidly detect SARS-CoV-2 virus is urgently and extremely required for timely epidemic control with the limited resources. In this review, the current real-time methods and principles for novel coronavirus detection are summarized, with the aim to provide a reference for real-time screening of coronavirus in areas with insufficient detection capacity and inadequate medical resources. The development and establishment of a rapid, simple, sensitive and specific system to detect SARS-CoV-2 is of vital importance for distinct diagnosis and effective treatment of the virus, especially in the flu season. Novel coronavirus;SARS-CoV-2;Gene sequencing;Nucleic acid testing;Gene editing techniques.

Propagation dynamics and control policies of COVID-19 pandemic at early stages: Implications on future resurgence response.

The spreading of novel coronavirus (SARS-CoV-2) has gravely impacted the world in the last year and a half. Understanding the spatial and temporal patterns of how it spreads at the early stage and the effectiveness of a governments' immediate response helps our society prepare for future COVID-19 waves or the next pandemic and contain it before the spreading gets out of control. In this article, a susceptible-exposed-infectious-removed model is used to model the city-to-city spreading patterns of the disease at the early stage of its emergence in China (from December 2019 to February 2020). Publicly available reported case numbers in 312 Chinese cities and between-city mobility data are leveraged to estimate key epidemiological characteristics, such as the transmission rate and the number of infectious people for each city. It is discovered that during any given time period, there are always only a few cities that are responsible for spreading the disease to other cities. We term these few cities as transmission centers. The spatial and temporal changes in transmission centers demonstrate predictable patterns. Moreover, rigorously designed experiments show that in controlling the disease spread in a city, non-pharmaceutical interventions (NPIs) implemented at transmission centers are more effective than the NPI implemented in the city itself. These findings have implications on the control of an infectious disease at the early stage of its spreading: implementing NPIs at transmission centers at early stages is effective in controlling the spread of infectious diseases.

The effect of human mobility and control measures on traffic safety during COVID-19 pandemic.

As mobile device location data become increasingly available, new analyses are revealing the significant changes of mobility pattern when an unplanned event happened. With different control policies from local and state government, the COVID-19 outbreak has dramatically changed mobility behavior in affected cities. This study has been investigating the impact of COVID-19 on the number of people involved in crashes accounting for the intensity of different control measures using Negative Binomial (NB) method. Based on a comprehensive dataset of people involved in crashes aggregated in New York City during January 1, 2020 to May 24, 2020, people involved in crashes with respect to travel behavior, traffic characteristics and socio-demographic characteristics are found. The results show that the average person miles traveled on the main traffic mode per person per day, percentage of work trip have positive effect on person involved in crashes. On the contrary, unemployment rate and inflation rate have negative effects on person involved in crashes. Interestingly, different level of control policies during COVID-19 outbreak are closely associated with safety awareness, driving and travel behavior, and thus has an indirect influence on the frequency of crashes. Comparing to other three control policies including emergence declare, limits on mass gatherings, and ban on all nonessential gathering, the negative relationship between stay-at-home policy implemented in New York City from March 20, 2020 and the number of people involved crashes is found in our study.

Association of human mobility with road crashes for pandemic-ready safer mobility: A New York City case study.

BACKGROUND: The COVID-19 pandemic has reshaped our cities in many ways. The number of motor vehicles on the road has plummeted during lockdowns, and an increasing number of people are turning to walking and biking. From a road safety perspective, the overall question is what effects the human behavior shift brings on the crash occurrence and, more importantly, how to support decision-makers on safer mobility policies? METHOD: Based on anonymous mobile phone location and crash report data in New York City, this study attempts to provide some new insights by using survival analysis (the hazard function approach) to explore the effects of human mobility changes due to the pandemic on crashes that involve injuries and fatalities (of pedestrian, cyclist or motorist). RESULTS: (1) the increased percentage of people staying at home improves pedestrian and cyclist safety, which adds evidence for making walking and cycling more appealing; (2) the increased percentage of people staying at home raises the likelihood of injuries for motor vehicle drivers, suggesting that it will be critical to monitor the driving behavior and establish new speed limits during the future pandemic waves and in the post-pandemic era as well; (3) non-work trips (e.g., shopping, recreation, personal business, etc.) are positively associated with crash injuries for motor vehicle drivers as well as pedestrian and cyclist; (4) human mobility factors were found not related to crash fatalities; (5) control NPIs implemented increased the motor vehicle drivers' crash risk.

Imaging plus repeated positive test of COVID-19 of one patient after improvement of symptoms

OBJECTIVE: To explore the changes of clinical symptoms, imaging features and related infection indexes of the Corona Virus Disease 2019 (COVID-19) and reveal its relationship with the change of viral nucleic acid load. METHODS: A 31-year-old male patient who had a history of staying in the epidemic-affected area and a history of fever, cough, and sore throat was enrolled in the study, and the clinical symptoms, CT imaging features and laboratory test indexes of the patient were retrospectively analyzed. RESULTS: The patient was tested twice for the nucleic acid at the onset, the symptoms disappeared quickly after treatment. The lung CT was re-checked 14 days after the onset, the viral nucleic acid test showed positive after the re-test, and the patient was conformed as COVID-19 and was cured successfully. During the course of the disease, the clinical symptoms and laboratory indicators were not parallel with the imaging findings. CONCLUSION: Combined with the characteristics of the case whose symptoms and test indicators are not parallel with the imaging findings and the existing studies, it does not rule out that the COVID-19 has a growth and decline process during the in vivo replication process, and the difference in nucleic acid load at different stages in the course of the disease determines the result of nucleic acid test. It is suggested that in the process of diagnosis and treatment, attention should be paid to the need for repeated test of nucleic acid, and when the symptoms improve and the virus nucleic acid re-test is positive, you should be highly vigilant of the possibility of aggravation of the symptom and the image.