ABSTRACT
Background The transmission dynamics of influenza were affected by public health and social measures (PHSMs) implemented globally since early 2020 to mitigate the COVID-19 pandemic. We aimed to assess the effect of COVID-19 PHSMs on the transmissibility of influenza viruses and to predict upcoming influenza epidemics. Methods For this modelling study, we used surveillance data on influenza virus activity for 11 different locations and countries in 2017-22. We implemented a data-driven mechanistic predictive modelling framework to predict future influenza seasons on the basis of pre-COVID-19 dynamics and the effect of PHSMs during the COVID-19 pandemic. We simulated the potential excess burden of upcoming influenza epidemics in terms of fold rise in peak magnitude and epidemic size compared with pre-COVID-19 levels. We also examined how a proactive influenza vaccination programme could mitigate this effect. Findings We estimated that COVID-19 PHSMs reduced influenza transmissibility by a maximum of 17.3% (95% CI 13.3-21.4) to 40.6% (35.2-45.9) and attack rate by 5.1% (1.5-7.2) to 24.8% (20.8-27.5) in the 2019-20 influenza season. We estimated a 10-60% increase in the population susceptibility for influenza, which might lead to a maximum of 1-5-fold rise in peak magnitude and 1-4-fold rise in epidemic size for the upcoming 2022-23 influenza season across locations, with a significantly higher fold rise in Singapore and Taiwan. The infection burden could be mitigated by additional proactive one-off influenza vaccination programmes. Interpretation Our results suggest the potential for substantial increases in infection burden in upcoming influenza seasons across the globe. Strengthening influenza vaccination programmes is the best preventive measure to reduce the effect of influenza virus infections in the community. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd.
ABSTRACT
It is especially important for us to detect heart rate due to the relatively high incidence of coronary heart disease in China. Detecting body temperature during Covid-19 is essential. Older heart rate and temperature detectors are commonly used in hospitals due to their high cost of construction. Therefore, it is of great practical importance to design a small heart rate and temperature detection device in this paper. We use STM32 microcontroller and sensors to implement heart rate and body temperature detection so that heart rate and body temperature can be detected in time. © 2022 IEEE.
ABSTRACT
Adenovirus infection can occur in all regions or countries of the world, with no obvious seasonality, but pandemics mostly occur in winter or early spring. Adenovirus infection is self-limited among immunocompetent host with supportive care, however fatal infection can occur among immunocompromised patients, mainly affecting respiratory, gastrointestinal tract and adjunctiva and very rarely causing hepatitis, cholecystitis, pancreatitis, hemorrhagic cystitis, myocarditis, meningitis or encephalitis. Adenovirus hepatitis mainly occur in malignant tumors or organ transplantation patients, but acute severe hepatitis can occur even in immunocompetent children or adults. On 5 April 2022, WHO was notified of 10 cases of severe acute hepatitis of unknown etiology in children. As of 21 April 2022, at least 169 cases of acute hepatitis of unknown origin have been reported from 12 countries (including 11 WHO European Region countries and the United States). Adenovirus has been detected in at least 74 cases; SARS-CoV-2 was identified in 20 cases of those that were tested. Furthermore, 19 were detected with a SARS-CoV-2 and adenovirus co-infection. At present, the etiology has not been fully elucidated. The leading hypotheses center around adenovirus, and the relationship with SARS-CoV-2 needs to be further ruled out.
Subject(s)
Adenoviridae Infections , COVID-19 , Hepatitis, Viral, Human , Adenoviridae , Adenoviridae Infections/complications , Adenoviridae Infections/epidemiology , Adult , Child , Humans , SARS-CoV-2ABSTRACT
PROBLEM: The coronavirus pandemic led to the cancellation of many academic events. While some transitioned to virtual formats, others disappeared, offering fewer opportunities for trainees to share research. Facing this challenge, the Association of Women Surgeons developed a novel approach. Designed to promote greater global inclusion, increase audience engagement and opportunities for networking and feedback from practicing surgeons, they restructured their annual trainee research symposium as a virtual, multi-round competition. APPROACH: Submission to the research competition was open to trainees at any level. The competition comprised four rounds: (1) visual abstracts (all welcomed), (2) three-minute "Quickshot" presentation (32 advance), (3) eight-minute oral presentations (16 advance), and (4) final question-and-answer style defense (final 4 compete). Progression through the first three rounds was determined by public voting. Winners were determined by live voting during the final session. OUTCOMES: A total of 73 visual abstracts were accepted for presentation. Fifty-six percent (n = 41) of first authors were medical students, 36% residents (n = 26), and 7% fellows (n = 6). Five were from international first authors (7%). Abstracts represented research topics including basic science (n = 6, 8%)), clinical outcomes (n = 38, 52%), and education (n = 29, 40%). Social media impressions exceeded a total of 30,000 views. NEXT STEPS: This virtual, multi-round research competition served as a blueprint for a novel approach to research dissemination. The format enabled expanded US national and international engagement with trainees in all stages of their career. Future research symposia should consider the impact of popularity bias, timing, and voting strategies during the event planning period to optimize success.
Subject(s)
COVID-19 , Students, Medical , Surgeons , Female , Humans , Pandemics , Surgeons/educationABSTRACT
We present an R package developed to quantify coronavirus disease 2019 (COVID-19) importation risk. Quantifying and visualizing the importation risk of COVID-19 from inbound travelers is urgent and imperative to trigger public health responses, especially in the early stages of the COVID-19 pandemic and emergence of new SARS-CoV-2 variants. We provide a general modeling framework to estimate COVID-19 importation risk using estimated pre-symptomatic prevalence of infection and air traffic data from the multi-origin places. We use Hong Kong as a case study to illustrate how our modeling framework can estimate the COVID-19 importation risk into Hong Kong from cities in Mainland China in real time. This R package can be used as a complementary component of the pandemic surveillance system to monitor spread in the next pandemic.
ABSTRACT
Testing and early diagnostic play vital parts in control and prevention for COVID-19 and cardiac diseases. We hereby demonstrate an electrochemical detection system for SARS-CoV-2 and cardiac troponin I with field effect transistor (FET) based biosensor hardware with low cost and disposable sensor unit.
ABSTRACT
Epidemic research can be enhanced through the use of social media data, an authoritative new data source that can not only be used to identify an epidemic and track the path of a disease but also for risk assessment and analysis. Existing research generally focuses on tracking tasks and epidemic types, but the relationship between applicable tasks and technical methods is rarely considered. In contrast, this research summarises the characteristics of social media data, emphasizing data and method dependencies, while identifying the processing methods used for diverse epidemic warning tasks. This work provides a reference for the application of social media data in epidemic research as well as a warning system for the return of COVID-19. © 2020 IEEE.
ABSTRACT
BACKGROUND AND OBJECTIVE: Since December 2019, increasing cases of novel coronavirus disease 2019 (COVID-19) are being detected worldwide. The purpose of this paper is to provide a scientific reference for the global prevention and control of COVID-19. METHODS: General demographic characteristics, epidemiological history, and clinical symptoms of COVID-19 were collected that had been reported on the websites of multiple Municipal Health Commissions in China. We herein describe distributions in time, place, and population of COVID-19. RESULTS: As of midnight on February 10, 2020, the number of confirmed cases of COVID-19 in China was 42,638, and the province with the largest number of confirmed cases was Hubei (31728), followed by Guangdong (1177), Zhejiang (1117), and Henan (1105) province. The number of cases and the speed of confirmed cases in provinces other than Hubei were more moderate than those of the Hubei province. The median (interquartile range) age of patients with COVID-19 was 44 (33, 54) years, with a range of 10 months to 89 years. CONCLUSIONS: The COVID-19 epidemic should be considered a global threat and the steps for control include early diagnosis and treatment, as well as isolation.