An Autonomous Approach to Measure Social Distances and Hygienic Practices during COVID-19 Pandemic in Public Open Spaces (preprint)

Coronavirus has been spreading around the world since the end of 2019. The virus can cause acute respiratory syndrome, which can be lethal, and is easily transmitted between hosts. Most states have issued state-at-home executive orders, however, parks and other public open spaces have largely remained open and are seeing sharp increases in public use. Therefore, in order to ensure public safety, it is imperative for patrons of public open spaces to practice safe hygiene and take preventative measures. This work provides a scalable sensing approach to detect physical activities within public open spaces and monitor adherence to social distancing guidelines suggested by the US Centers for Disease Control and Prevention (CDC). A deep learning-based computer vision sensing framework is designed to investigate the careful and proper utilization of parks and park facilities with hard surfaces (e.g. benches, fence poles, and trash cans) using video feeds from a pre-installed surveillance camera network. The sensing framework consists of a CNN-based object detector, a multi-target tracker, a mapping module, and a group reasoning module. The experiments are carried out during the COVID-19 pandemic between March 2020 and May 2020 across several key locations at the Detroit Riverfront Parks in Detroit, Michigan. The sensing framework is validated by comparing automatic sensing results with manually labeled ground-truth results. The proposed approach significantly improves the efficiency of providing spatial and temporal statistics of users in public open spaces by creating straightforward data visualizations for federal and state agencies. The results can also provide on-time triggering information for an alarming or actuator system which can later be added to intervene inappropriate behavior during this pandemic.

Continuity of services for patients with tuberculosis in China in the COVID-19 era (preprint)

It is crucial to maintain continuity of essential services for people affected by tuberculosis (TB). Efforts to deliver these essential services in many global settings have been complicated by the emergence and global spread of SARS-CoV-2 and the pandemic of COVID-19. Understanding how the COVID-19 pandemic has impacted the availability of TB diagnostic and treatment services is critical for identifying policies that can mitigate disruptions of these essential services. China has a dual burden of TB and COVID-19. We conducted a survey and collected data from 13 provinces in China to evaluate the early impact of COVID-19 on TB services and to document interventions that were adopted to maintain the continuity services for TB patients during the pandemic. We use these data to identify additional opportunities that will improve the ability of TB programs to maintain essential services during this crisis. While health systems and underlying epidemiology differ between countries, we believe that sharing China's experience can inform the design of locally tailored strategies to maintain essential TB services during the COVID-19 pandemic.

Clinical Features of COVID‐19 in a Young Man with Massive Cerebral Hemorrhage: Case Report (preprint)

COVID-19 is currently a pandemic in the world, can invade multiple systems, and has a high morbidity and mortality. So far, no cases of acute cerebrovascular disease have been reported. This article reports the clinical features of a COVID-19 patient whose first symptom was cerebral hemorrhage. More importantly, after the craniotomy, the patient had high fever and it was difficult to retreat. After cerebrospinal fluid testing, it was determined that an intracranial infection had occurred. After anti-infection and plasma infusion of the recovered person, the patient's symptoms gradually improved. This case suggests that COVID-19 may infringe on cerebral blood vessels and cause cerebral hemorrhage. Transfusion of plasma from rehabilitation patients is effective for critically ill patients.