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Objective To analyze the epidemiological characteristics of community transmission of the coronavirus disease 2019 (COVID-19) caused by four imported cases in Hebei Province, and to provide a scientific basis for the prevention and control of the disease. Methods Descriptive epidemiological methods were used to analyze the epidemiological characteristics of four community-transmitted COVID-19 outbreaks reported in the China Disease Control and Prevention Information System from January 1, 2020 to December 31, 2021 in Hebei Province. Results From January 1, 2020 to December 31, 2021, four community-transmitted COVID-19 outbreaks caused by imported COVID-19 occurred in Hebei Province, respectively related of Hubei (Wuhan) Province, Beijing Xinfadi market, Overseas cases and Ejina banner of Inner Mongolia Autonomous Region. Total of 1 656 cases (1 420 confirmed cases and 236 asymptomatic cases) were reported, including 375 cases in phase A (From January 22 to April 16, 2020), and phase B (from June 14 to June 24, 2020) 27 cases were reported, with 1 116 cases reported in the third phase (Phase C, January 2 to February 14, 2021), and 138 cases reported in the fourth phase (Phase D, October 23 to November 14, 2021). The 1 656 cases were distributed in 104 counties of 11 districts (100.00%), accounting for 60.46% of the total number of counties in the province. There were 743 male cases and 913 female cases, with a male to female ratio of 0.81:1. The minimum age was 13 days, the maximum age was 94 years old, and the average age (median) was 40.3 years old. The incidence was 64.01% between 30 and 70 years old. Farmers and students accounted for 54.41% and 14.73% of the total cases respectively. Of the 1 420 confirmed cases, 312 were mild cases, accounting for 21.97%;Common type 1 095 cases (77.11%);There was 1 severe case and 12 critical cases, accounting for 0.07% and 0.85%, respectively. 7 patients died from 61.0 to 85.7 years old. The mean (median) time from onset to diagnosis was 1.9 days (0-31 days), and the mean (median) time of hospital stay was 15 days (1.5-56 days). Conclusions Four times in Hebei province COVID-19 outbreak in scale, duration, population, epidemic and type of input source, there are some certain difference, but there are some common characteristics, such as the outbreak occurs mainly during the legal holidays or after starting and spreading epidemic area is mainly in rural areas, aggregation epidemic is the main mode of transmission, etc. To this end, special efforts should be made to strengthen the management of people moving around during holidays, and strengthen the implementation of epidemic prevention and control measures in places with high concentration of people. To prevent the spread of the epidemic, we will step up surveillance in rural areas, farmers' markets, medical workers and other key areas and groups, and ensure early detection and timely response.Copyright © 2022 China Tropical Medicine. All rights reserved.
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The COVID-19 pandemic has posed significant challenges to transportation systems in various aspects, such as transferring patients and medical resources, enforcing physical distancing in public transportation, and controlling virus transmission through transportation networks. To address these challenges, a variety of artificial intelligence technologies, such as autonomous driving, big data analytics, intelligent vehicle routing and scheduling, and intelligent traffic control, have been employed in the design of intelligent transportation systems. This Special Issue provides a forum for researchers and practitioners to present the most recent advances in presenting and applying intelligent technologies to promote transportation systems in large-scale epidemics.
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This study uses a large dataset to consider the network change of the three largest European Low Cost Carriers (LCCs) easyJet, Ryanair and Wizz Air during the pre-Covid-19 period and the Covid-19 pandemic period. Network changes are characterized in terms of airport pairs, city pairs, numbers of flights and network overlaps. The results show that European LCCs increasingly expanded their networks into markets that had already been served by incumbent LCCs, which indicates that LCCs increasingly compete head-to-head among themselves. Difference-in-differences regressions estimate that network overlaps among these LCCs lead to airfare reductions of approximately six Euros, ten percent.
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Objective To analyze the epidemiological characteristics of community transmission of the coronavirus disease 2019 (COVID-19) caused by four imported cases in Hebei Province, and to provide a scientific basis for the prevention and control of the disease. Methods Descriptive epidemiological methods were used to analyze the epidemiological characteristics of four community-transmitted COVID-19 outbreaks reported in the China Disease Control and Prevention Information System from January 1, 2020 to December 31, 2021 in Hebei Province. Results From January 1, 2020 to December 31, 2021, four community-transmitted COVID-19 outbreaks caused by imported COVID-19 occurred in Hebei Province, respectively related of Hubei (Wuhan) Province, Beijing Xinfadi market, Overseas cases and Ejina banner of Inner Mongolia Autonomous Region. Total of 1 656 cases (1 420 confirmed cases and 236 asymptomatic cases) were reported, including 375 cases in phase A (From January 22 to April 16, 2020), and phase B (from June 14 to June 24, 2020) 27 cases were reported, with 1 116 cases reported in the third phase (Phase C, January 2 to February 14, 2021), and 138 cases reported in the fourth phase (Phase D, October 23 to November 14, 2021). The 1 656 cases were distributed in 104 counties of 11 districts (100.00%), accounting for 60.46% of the total number of counties in the province. There were 743 male cases and 913 female cases, with a male to female ratio of 0.81∶1. The minimum age was 13 days, the maximum age was 94 years old, and the average age (median) was 40.3 years old. The incidence was 64.01% between 30 and 70 years old. Farmers and students accounted for 54.41% and 14.73% of the total cases respectively. Of the 1 420 confirmed cases, 312 were mild cases, accounting for 21.97%;Common type 1 095 cases (77.11%);There was 1 severe case and 12 critical cases, accounting for 0.07% and 0.85%, respectively. 7 patients died from 61.0 to 85.7 years old. The mean (median) time from onset to diagnosis was 1.9 days (0-31 days), and the mean (median) time of hospital stay was 15 days (1.5-56 days). Conclusions Four times in Hebei province COVID-19 outbreak in scale, duration, population, epidemic and type of input source, there are some certain difference, but there are some common characteristics, such as the outbreak occurs mainly during the legal holidays or after starting and spreading epidemic area is mainly in rural areas, aggregation epidemic is the main mode of transmission, etc. To this end, special efforts should be made to strengthen the management of people moving around during holidays, and strengthen the implementation of epidemic prevention and control measures in places with high concentration of people. To prevent the spread of the epidemic, we will step up surveillance in rural areas, farmers′ markets, medical workers and other key areas and groups, and ensure early detection and timely response. © 2022 China Tropical Medicine. All rights reserved.
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Recent advances in the Medical Internet of Things (MIoT) and big data enable a prospering platform for pervasive healthcare and facilitate the transformation from hospital-centered to human-centered healthcare. Wearable devices as human interfaces provide first-hand data and real-time monitoring, which are key technologies in the MIoT. Several remarkable surveys have been conducted to summarize the recent progress in wearable sensors and systems for the MIoT and pervasive medicine. However, few have focused on wearable optical sensing (WOS) technologies, which is an emerging sensing modality in wearable devices. WOS can achieve high precision, high compatibility, high anti-interference, and low motion artifacts for human vital signal acquisition, which are particularly useful in special scenarios such as intensive care units (ICUs). These technologies can also be integrated with smart fabrics or mobile computing for out-of-hospital healthcare. This work provides the first literature review of WOS for pervasive medicine. We aim to systematically summarize the emerging WOS technologies in the MIoT for disease diagnosis and health monitoring. Specifically, this review covers the technical bases and design principles of major WOS technologies and their application domains for monitoring and treatment. We also discuss the opportunities and challenges, especially in the COVID-19 outbreak.
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With the increasing exhaustion of global resources, various countries have explored bioeconomy as an economic model that can cope with environmental, climate，resource problems and food security crisis. China recently released the " 14th Five-Year Plan for Bioeconomy Development", raising the bioeconomy to the level of national strategic development for the first time. Based on the innovation of life science and biotechnology, emerging industries have come into being in bioeconomy including biomedicine, bioagriculture, biomanufacturing and bioenergy. Bioeconomy is an economic development model with great potential for sustainable development in the future. This paper summarizes the evolution law of the global bioeconomy, the development of the bioeconomy worldwide and the industrial development of Chinese bioeconomy. Moreover, under the complex situation in a time of unprecedented global changes in a century and the COVID-19 epidemic, the relevant countermeasures to cope with challenges and suggestions on Chinese future are put forward. © 2022, China Biotechnology Press. All rights reserved.
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Based on the data of domestic patent transfer/license database, this paper systematically combs and analyzes the transformation of biomedical patent achievements in China. The research shows that although the conversion rate of biomedical patents in China is low at present, and the transformation in some fields lags behind obviously, after the revision of the Law of Promoting the Transformation of Scientific and Technological Achievements in 2015, all parties actively explore a new mode of transformation of achievements, and the transformation technology trend is basically consistent with the development trend of biomedical industry, indicating that the policy effectively drives the transformation work. It is suggested that relevant departments continue to improve policies, establish a transformation ecosystem, and play a greater role in the transformation of biomedical patent achievements in epidemic prevention and control. © 2022, China Biotechnology Press. All rights reserved.
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OBJECTIVE: The study aimed to explore the best follow-up management strategy for patients undergoing peritoneal dialysis (PD) during the novel coronavirus pneumonia (NCP) epidemic. PATIENTS AND METHODS: Patients undergoing PD who were followed up during the NCP epidemic by our hospital were enrolled in this study. Because of the need to control the epidemic, a follow-up system was established during the epidemic period, with WeChat, QQ, and the telephone as the main methods of communication. Outpatient and emergency follow-ups were carried out to ensure the safety of dialysis and the prevention and control of the epidemic. The follow-up strategy included response measures related to the epidemic situation, prevention of peritonitis related to PD, water and salt control, exercise guidance, and psychological care. According to the patient's condition, the appointment system was implemented, with one consulting room and one process for each patient. The emergency patients were isolated in accordance with the epidemic situation. RESULTS: Since January 2020, among the 580 patients undergoing PD who were followed up in our department and their families, none had NCP infection. During the epidemic period, the standard hemoglobin level and the inpatient rate decreased. Complications related to PD, such as peritonitis, cardiovascular complications caused by volume overload, and pulmonary infection, did not significantly increase, and the withdrawal rate and mortality rate decreased compared with those in the same period last year. CONCLUSIONS: The patient follow-up strategy during the epidemic period had a significant positive effect on preventing and controlling the epidemic. Furthermore, during the epidemic period, encouraging patients and caregivers to pay attention to protection at home, avoid going out, strengthen self-management, and other measures were beneficial to the control of kidney disease itself, which is worth promoting. The close relationship between doctors and patients during the epidemic had a positive effect on the occurrence of complications related to patients undergoing PD.