INTRODUCTION: Singapore instituted lockdown measures from 7 February 2020 to 1 June 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic. METHODS: A retrospective analysis of cases from the national trauma registry was carried out comparing the lockdown period (from 7 February 2020 to 1 June 2020) to the pre-lockdown period (from 7 February 2019 to 1 June 2019). Data extracted included the volume of Tier 1 (injury severity score [ISS] >15) and Tier 2 (ISS 9-15) cases and epidemiology. Subgroup analysis was performed for Tier 1 patient outcomes. RESULTS: Trauma volume decreased by 19.5%, with a 32% drop in Tier 1 cases. Road traffic and workplace accidents decreased by 50% (P < 0.01), while interpersonal violence showed an increase of 37.5% (P = 0.34). There was an 18.1% decrease in usage of trauma workflows (P = 0.01), with an increase in time to intervention for Tier 1 patients from 88 to 124 min (P = 0.22). Discharge to community facilities decreased from 31.4% to 17.1% (P < 0.05). There was no increase in inpatient mortality, length of stay in critical care or length of stay overall. CONCLUSION There was an overall decrease in major trauma cases during the lockdown period, particularly road traffic accidents and worksite injuries, and a relative increase in interpersonal violence. Redeployment of manpower and hospital resources may have contributed to decreased usage of trauma workflows and community facilities. In the event of further lockdowns, it is necessary to plan for trauma coverage and maintain the use of workflows to facilitate early intervention.
Humans ; COVID-19/epidemiology* ; Trauma Centers ; Retrospective Studies ; Singapore/epidemiology* ; Workload ; Communicable Disease Control

The Coronavirus Disease 2019 (COVID-19) pandemic has had an adverse impact on the physical and mental health of the public worldwide. In addition to illness in patients with COVID-19, isolated people and the general population have experienced mental health problems due to social distancing policies, mandatory lockdown, and other psychosocial factors, and the prevalence of depression and anxiety significantly increased during the pandemic. The purpose of this review is to elucidate the epidemiology, contributing factors, and pathogenesis of depression and anxiety. during the pandemic. These findings indicate that physicians and psychiatrists should pay more attention to and identify those with a high risk for mental problems, such as females, younger people, unmarried people, and those with a low educational level. In addition, researchers should focus on identifying the neural and neuroimmune mechanisms involved in depression and anxiety, and assess the intestinal microbiome to identify effective biomarkers. We also provide an overview of various intervention methods, including pharmacological treatment, psychological therapy, and physiotherapy, to provide a reference for different populations to guide the development of optimized intervention methods.
Female ; Humans ; COVID-19/epidemiology* ; Pandemics ; Depression/therapy* ; SARS-CoV-2 ; Communicable Disease Control ; Anxiety/psychology*

The world has paid a heavy price for the pandemic of the emerging respiratory communicable disease, so more concern about communicable disease surveillance and early warning has been aroused. This paper briefly reviews the establishment of the surveillance and early warning system of respiratory communicable diseases in China, discusses its future development and introduces the novel surveillance methods and early warning models for the purpose of establishment of a multi-channel surveillance and multi-dimensional early warning system of communicable diseases in the future and the improvement of the prevention and control of emerging respiratory communicable diseases in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Communicable Diseases, Emerging/prevention & control* ; China/epidemiology* ; Pandemics ; Disease Outbreaks/prevention & control*

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*

Child ; Humans ; COVID-19/epidemiology* ; Pandemics ; Communicable Disease Control ; SARS-CoV-2 ; Schools

Artificial intelligence (AI) has proven time and time again to be a game-changer innovation in every walk of life, including medicine. Introduced by Dr. Gunn in 1976 to accurately diagnose acute abdominal pain and list potential differentials, AI has since come a long way. In particular, AI has been aiding in radiological diagnoses with good sensitivity and specificity by using machine learning algorithms. With the coronavirus disease 2019 pandemic, AI has proven to be more than just a tool to facilitate healthcare workers in decision making and limiting physician-patient contact during the pandemic. It has guided governments and key policymakers in formulating and implementing laws, such as lockdowns and travel restrictions, to curb the spread of this viral disease. This has been made possible by the use of social media to map severe acute respiratory syndrome coronavirus 2 hotspots, laying the basis of the "smart lockdown" strategy that has been adopted globally. However, these benefits might be accompanied with concerns regarding privacy and unconsented surveillance, necessitating authorities to develop sincere and ethical government-public relations.
Artificial Intelligence ; COVID-19 ; Communicable Disease Control ; Humans ; Pandemics/prevention & control* ; SARS-CoV-2

Acquired Immunodeficiency Syndrome/epidemiology* ; Bayes Theorem ; COVID-19/prevention & control* ; China/epidemiology* ; Communicable Disease Control/trends* ; Disease Notification/statistics & numerical data* ; Forecasting ; Humans ; Incidence ; Interrupted Time Series Analysis ; SARS-CoV-2

PURPOSE: To determine the impact of an earthquake during COVID-19 lockdown on fracture admission at a tertiary trauma centre in Croatia. METHODS: A case-control study was performed at the tertiary trauma centre registry. Two different periods were studied. The case group included a period during COVID-19 lockdown right after the earthquakes until the end of the confinement period in Croatia. And the control group corresponded to the equivalent period in 2019. We identified all consecutive patients who were admitted due to urgent care requirements for the musculoskeletal trauma. Patient's demographic data and admitting diagnoses were assessed. Data were analyzed by statistical procedures using the program MedCalc statistical software version 16.4.3. RESULTS: We identified 178 emergency admissions due to musculoskeletal trauma. During the COVID-19 lockdown and post-earthquake period, there was a drastic reduction in total admissions (359 vs. 662; p < 0.0001) with an increased proportion of trauma admissions within the emergency admissions (34.9% vs. 26.5%; p = 0.02926, Z = -2.1825). Furthermore, in the case group there was a significant increase in hospital admissions due to ankle/foot trauma (11 vs. 2, p = 0.0126) and a trend towards a decrease in the admissions due to tibia fractures (5 vs. 12, p = 0.0896), however without statistical significance. Also, an increased proportion of women within the group of femoral fractures in both case group (81.6% vs. 52.6%, p = 0.00194, Z = 3.1033) and the control group (82.3% vs. 60.5%, p = 0.0232, Z = 2.2742) was observed. In both analyzed periods, the osteoporotic hip fracture was the most common independent admitting diagnosis. CONCLUSION It is crucial to understand how natural disasters like earthquakes influence the pattern of trauma admissions during a coexisting pandemic. Accordingly, healthcare systems have to be prepared for an increased influx of certain pathology, like foot and ankle trauma.
COVID-19/epidemiology* ; Case-Control Studies ; Communicable Disease Control ; Croatia/epidemiology* ; Earthquakes ; Female ; Hip Fractures ; Humans ; Osteoporotic Fractures ; Retrospective Studies ; SARS-CoV-2 ; Trauma Centers

Despite the fact that our cognition towards infectious disease prevention, the advanced technology and the economic status of the whole society has made a great progress in the last decade, the outbreak of COVID-19 pneumonia has again enabled the public to acquire more about super-challenges of infectious diseases, epidemics and the relevant preventive measurements. In order to identify the epidemic signals in early stage or even before the onset of epidemic, the data research and utilization of a series of factors related to the occurrence and transmission of infectious diseases have played a significant role in research of prevention and control during the whole period of surveillance and early warning. Laboratory-based monitoring for the etiology has always been an important part of infectious disease warning system due to pathogens as the direct cause of such diseases. China has initially established a laboratory-based monitoring and early warning system for bacterial infectious diseases based on the Chinese Pathogen Identification Network with an aim to identify pathogens, outbreaks and sources. This network has played an essential role in early detection, tracking and precise prevention and control of bacterial infectious diseases, such as plague, cholera, and epidemic cerebrospinal meningitis. This issue focuses on the function of laboratory-based monitoring during the period of early warning, prevention, and control of bacterial infectious diseases, and conducted a wide range of researches based on the analysis of the epidemic and outbreak isolates, together with field epidemiological studies and normal monitoring systems. All of these could illustrate the effect of laboratory surveillance in the infectious disease risk assessment and epidemic investigation. At the same time, we have put forward our review and expectation of scenarios about laboratory-based monitoring and early warning technologies to provide innovative thoughts for promoting a leapfrog development of infectious disease monitoring and early warning system in China.
Bacterial Infections/epidemiology* ; COVID-19 ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; Humans ; Laboratories