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*

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 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*

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*

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*

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

Human beings are still facing the public health challenges from bacterial infectious diseases. Carrying out systematic infectious disease monitoring and early warning is the most direct solution to prevent and control infectious diseases. Etiology is an important part of infectious disease monitoring and early warning. Effective pathogen monitoring can identify pathogens, outbreaks and sources at the first time. In this study, we have reviewed the research and application of etiology monitoring and early warning technology of bacterial infectious diseases and summarized the importance and application scenarios of etiology in infectious disease monitoring and early warning, as well as the research progress of etiology monitoring and early warning technology. Based on the work of existing laboratory monitoring networks, such as Chinese Pathogen Identification Network, the development trend and prospect of infectious disease laboratory network monitoring are put forward to provide a reference for establishing and perfecting the infectious disease monitoring and early warning system.
Bacterial Infections/prevention & control* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Humans ; Laboratories ; Technology

Nipah virus disease (NVD) is a newly emerged zoonosis with a case fatality rate of 40%-75%. NVD is a severe threat to human health and the development of livestock farming. NVD has become one of the emerging infectious diseases with great concern globally during more than 20 years. Nipah virus (NiV) is a pathogen for NVD, the natural host of which is Fruit bats of the Pteropodidae family. The clinical spectrum of NiV infection is broad, including asymptomatic infection, acute respiratory infection, fatal encephalitis, and even death. Since NiV was first identified in Malaysia in 1999, it has been prevalent mainly in Southeast Asia and South Asia. NiV is primarily transmitted to humans through bat-pig-human, contaminated food. Currently, there are no specific therapeutic drugs and vaccines for NVD. Although there are no cases of NVD reported in China, which has close personnel and trade exchanges with major NVD-endemic countries, and NiV antibody has also been detected in relevant bats. There is a potential risk of importing NVD and domestic outbreaks in the future in this country. This paper provides a systematic review of the research progress in the prevention and control of NVD etiology, epidemiology, clinical manifestations and laboratory diagnosis to help relevant staff to understand NVD more comprehensively and systematically.
Animals ; Chiroptera ; Communicable Diseases, Emerging/prevention & control* ; Disease Outbreaks ; Henipavirus Infections/prevention & control* ; Nipah Virus ; Swine ; Zoonoses/prevention & control*

Objective: Based on the geographic information systems, we exploreed the spatiotemporal clustering and the development and evolution of COVID-19 epidemic at prefectural level in China from the time when the epidemic was discovered to the time when the lockdown ended in Wuhan. Methods: The information and data of the confirmed COVID-19 cases from December 8, 2019 to April 8, 2020 were collected from 367 prefectures in China for a spatial autocorrelation analysis with software GeoDa, and software ArcGIS was used to visualize the results. Software SatScan was used for spatiotemporal scanning analysis to visualize the hot-spot areas of the epidemic. Results: The incidence of new cases of COVID-19 had obvious global autocorrelation and the partial autocorrelation results showed that incidence of COVID-19 had different spatial distribution at different times from December 8, 2019 to March 4, 2020. There was no significant difference in global autocorrelation coefficient from March 5, 2020 to April 8, 2020. The statistical analysis of spatiotemporal scanning identified two kinds of spatiotemporal clustering areas, the first class clustering areas included 10 prefectures, mainly distributed in Hubei, from January 13 to February 25, 2020. The secondary class clustering areas included 142 prefectures, mainly distributed in provinces in the north and east of Hubei, from January 23 to February 1, 2020. Conclusions: There was a clear spatiotemporal correlation in the distribution of the outbreaks in the early phase of COVID-19 epidemic (December 8, 2019-March 4, 2020) in China. With the decrease of the case and effective prevention and control measures, the epidemics had no longer significant correlations among areas from March 5 to April 8. The study results showed relationship with time points of start and adjustment of emergency response at different degree in provinces. Furthermore, improving the early detection of new outbreaks and taking timely and effective prevention and control measures played an important role in blocking the transmission.
COVID-19/epidemiology* ; China/epidemiology* ; Communicable Disease Control ; Epidemics ; Humans ; Spatio-Temporal Analysis