The role of subclinical severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in perpetuating the COVID-19 pandemic is unknown because population seroprevalence data are absent. We aimed to establish the sensitivity and specificity of our enzyme immunoassay and microneutralisation assay, and the seroprevalence of SARS-CoV-2 in Hong Kong before and after the pandemic, as well as in Hong Kong residents evacuated from Hubei province, China. We did a multicohort study in a hospital and university in Hong Kong. https://www.selleckchem.com/products/snx-2112.html We evaluated the sensitivity of our enzyme immunoassay and microneutralisation assay with RT-PCR data from patients positive for SARS-CoV-2 and the specificity of our enzyme immunoassay and microneutralisation assay with archived serum samples collected before 2019. We compared the seropositivity of the general population of Hong Kong before and after the pandemic had begun, and determined the seropositivity of Hong Kong residents evacuated from Hubei province, China, in March, 2020. g), Michael Tong, Marina Lee, and the Government Consultancy Service (see acknowledgments for full list). To investigate the diagnostic performance of an Artificial Intelligence (AI) system for detection of COVID-19 in chest radiographs (CXR), and compare results to those of physicians working alone, or with AI support. An AI system was fine-tuned to discriminate confirmed COVID-19 pneumonia, from other viral and bacterial pneumonia and non-pneumonia patients and used to review 302 CXR images from adult patients retrospectively sourced from nine different databases. Fifty-four physicians blind to diagnosis, were invited to interpret images under identical conditions in a test set, and randomly assigned either to receive or not receive support from the AI system. Comparisons were then made between diagnostic performance of physicians working with and without AI support. AI system performance was evaluated using the area under the receiver operating characteristic (AUROC), and sensitivity and specificity of physician performance compared to that of the AI system. Discrimination by the AI system of COVID-19 pneumonia showed an AUROC curve of 0.96 in the validation and 0.83 in the external test set, respectively. The AI system outperformed physicians in the AUROC overall (70% increase in sensitivity and 1% increase in specificity, p < 0.0001). When working with AI support, physicians increased their diagnostic sensitivity from 47% to 61% (p < 0.001), although specificity decreased from 79% to 75% (p = 0.007). Our results suggest interpreting chest radiographs (CXR) supported by AI, increases physician diagnostic sensitivity for COVID-19 detection. This approach involving a human-machine partnership may help expedite triaging efforts and improve resource allocation in the current crisis. Our results suggest interpreting chest radiographs (CXR) supported by AI, increases physician diagnostic sensitivity for COVID-19 detection. This approach involving a human-machine partnership may help expedite triaging efforts and improve resource allocation in the current crisis. The data of immunosuppressive therapy management on solid organ transplant recipients with coronavirus disease 2019 are insufficient. We report a kidney transplant recipient who developed coronavirus disease 2019 pneumonia, with successful management of low-dose mPSL. A 36-year-old man, who underwent living kidney transplantation 1.5year prior, developed fever. After 10days, he developed dyspnea, and his blood oxygen levels decreased. Computed tomography showed pulmonary ground-glass shadow on both lungs, and the coronavirus disease 2019 real-time polymerase chain reaction test was positive. After reducing the immunosuppressive agents, the C-reactive protein levels continued elevating, and the pulmonary shadow spread. Subsequently, low-dose methylprednisolone (40mg/day) was administered for 4days and his C-reactive protein and blood oxygen levels increased and improved, respectively. The coronavirus disease 2019 real-time polymerase chain reaction test was negative and the pulmonary shadow disappeared. Low-dose methylprednisolone may prevent the development of severe coronavirus disease 2019. Low-dose methylprednisolone may prevent the development of severe coronavirus disease 2019. To assess the core knowledge of health indicators, federal health programs, and public health functions in practicing clinicians along with perceptions of their education and engagement with public health. A paper survey in booklet form was administered to attendees at 2 general medical conferences in May 2019. The survey was divided into 5 sections knowledge of health systems and policy, knowledge of public health concepts and function, public health engagement, public health education, and demographics. One hundred two surveys were received from 402 attendees (response rate, 24.3%). Most were male (56%), older than 50 years (51%), and physicians (86%). Respondents had a fairly good knowledge of federal health programs (77%) and public health functions (84%), but less than half had a personal interaction with public health in the past 2 years (45%) or were aware of how to work with public health organizations in their community (46%). Only a few respondents rated their public health training as good orhey can work together to improve population health. Comparing health care parameters of acute ischemic stroke (AIS) patients with and without concurrent coronavirus disease 2019 (Covid-19, SARS-CoV-2 infection), may be helpful in terms of optimizing clinical and public health care during pandemic. We evaluated a nationwide administrative database of all hospitalized patients with main diagnosis of acute ischemic stroke with/without diagnosis of Covid-19 who were hospitalized during the time period from January 16th to May 15th, 2020. Data from a total of 1463 hospitals in Germany were included. We compared case numbers, treatment characteristics (intravenous thrombolysis, IVT; mechanical thrombectomy, MT; treated on an intensive care unit, stroke unit or regular ward) and in-hospital mortality of AIS with and without concurrent diagnosis of Covid-19. From a total of 30,864 hospitalized Covid-19 patients during the evaluation period in Germany, we identified a subgroup of 213 patients with primary diagnosis of AIS. Compared to the 68,700 AIS patients without Covid-19, this subgroup showed a similar rate of IVT (16.