Introduction: An infectious disease outbreak like the current COVID-19 pandemic can lead to particularly high infection rates in areas where diagnostic laboratory support is limited. The deployment of mobile laboratories can help to detect pathogens, monitor the presence in a population, and inform public health authorities to take measures aimed at reducing pathogen spread. Materials and Methods: Available layouts and operational descriptions of mobile laboratories were analyzed for their suitability for the envisioned purpose and to assure high standards of biosafety and biosecurity.

Objectives: For a large part of the coronavirus disease 2019 (COVID-19) pandemic, Singapore had managed to keep local cases in the single digits daily, with decisive measures. Yet, we saw this critical time point when the imported cases surged through our borders. The gaps which we can and have efficiently closed, using a public health approach and global border containment strategies, are aptly illustrated through this case.

Globally, the massive expansion of acute respiratory syndrome (COVID_19) is mainly caused by the massive agglomeration of people at the time of travel, as a person infected with the virus who does not have the respective preventive measures can infect 3 more people according to studies. For this reason, here is proposed a mobile application with the use of the Machine Learning methodology for future prediction, through the historical data learned.

BACKGROUND The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic presents a threat to health care systems worldwide. Trauma centers may be uniquely impacted, given the need for rapid invasive interventions in severely injured and the growing incidence of community infection. We discuss the impact that SARS-CoV-2 has had in our trauma center and our steps to limit the potential exposures. METHODS We performed a retrospective evaluation of the trauma service, from March 16 to 30, following the appearance of SARS-CoV-2 in our state.

Since being first detected in China, coronavirus disease 2019 (COVID-19) has spread rapidly across the world, triggering a global pandemic with no viable cure in sight. As a result, national responses have focused on the effective minimization of the spread. Border control measures and travel restrictions have been implemented in a number of countries to limit the import and export of the virus. The detection of COVID-19 is a key task for physicians. The erroneous results of early laboratory tests and their delays led researchers to focus on different options.

Objectives: To describe the first isolation and sequencing of SARS-CoV-2 in Australia and rapid sharing of the isolate. Setting: SARS-CoV-2 was isolated from a 58-year-old man from Wuhan, China who arrived in Melbourne on 19 January 2020 and was admitted to the Monash Medical Centre, Melbourne from the emergency department on 24 January 2020 with fever, cough, and progressive dyspnoea.

During the emergence of novel coronavirus 2019 (nCoV) outbreak in Wuhan city, China at the end of 2019, there was movement of many airline travelers between Wuhan and Japan, suggesting that the Japanese population was at high risk of infection by the virus. Hence, we urgently developed diagnostic systems for detection of 2019 nCoV. Two nested RT-PCR and two real-time RT-PCR assays were adapted for use in Japan. As of February 8, 2020, these assays have successfully detected 25 positive cases of infection in Japan. © 2020, National Institute of Health. All rights reserved.

Backgrounds: The emerging virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), caused a large outbreak of coronavirus disease, COVID-19, in Wuhan, China, since December 2019. COVID-19 soon spread to other regions of China and overseas. In Hong Kong, local mitigation measures were implemented since the first imported case was confirmed on January 23, 2020. Here we evaluated the temporal variation of detection delay from symptoms onset to laboratory confirmation of SARS-CoV-2 in Hong Kong.

Background: To assess the dynamic changes in clinical and CT characteristics of COVID-19 patients with different epidemiology histories. Methods: Fifty-three discharged COVID-19 patients were enrolled at Beijing YouAn Hospital, Capital Medical University, between January 21 and March 10, 2020. Spearman correlation analysis was performed between CT scores and laboratory indicators. Patients were divided into the Wuhan group (lived in or with travel to Wuhan, numbering 30 cases) and non-Wuhan group (close contacts or unknown exposure, totaling 23 cases).

Background: Radiological examinations of COVID-19 positive patients play a vital role in early diagnosis and assessment of disease course, as most COVID-19 infected patients were diagnosed with pneumonia and characteristic CT imaging patterns. Asymptomatic infected individuals, called “asymptomatic carrier or transmitter”, who are the infectious sources of SARS-CoV-2, and some of them progress rapidly, even resulting in acute respiratory distress syndrome (ARDS) with a high case-fatality rate.