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*

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

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

Epidemic diseases have caused huge harm to the society. Traditional Chinese medicine(TCM) has made great contributions to the prevention and treatment of them. It is of great reference value for fighting diseases and developing drugs to explore the medication law and mechanism of TCM under TCM theory. In this study, the relationship between the TCM theory of cold pestilence and modern epidemic diseases was investigated. Particularly, the the relationship of coronavirus disease 2019(COVID-19), severe acute respiratory syndrome(SARS), and influenza A(H1 N1) with the cold pestilence was identified and analyzed. The roles of TCM theory of cold pestilence in preventing and treating modern epidemic diseases were discussed. Then, through data mining and textual research, prescriptions for the treatment of cold pestilence were collected from major databases and relevant ancient books, and their medication laws were examined through analysis of high-frequency medicinals and medicinal pairs, association rules analysis, and cluster analysis. For example, the prescriptions with high confidence levels were identified: "Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Paeoniae Radix Alba" "Glycyrrhizae Radix et Rhizoma-Pinelliae Rhizoma-Bupleuri Radix", and TCM treatment methods with them were analyzed by clustering analysis to yield the medicinal combinations: "Zingiberis Rhizoma-Aconiti Lateralis Radix Praeparata-Ginseng Radix et Rhizoma" "Poria-Atractylodis Macrocephalae Rhizoma" "Cinnamomi Ramulus-Asari Radix et Rhizoma" "Citri Reticulatae Pericarpium-Perillae Folium" "Pinelliae Rhizoma-Magnoliae Officinalis Cortex-Atractylodis Rhizoma" "Paeoniae Radix Alba-Angelicae Sinensis Radix-Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Scutellariae Radix-Rhizoma Zingiberis Recens" "Ephedrae Herba-Armeniacae Semen Amarum-Gypsum Fibrosum" "Chuanxiong Rhizoma-Notopterygii Rhizoma et Radix-Angelicae Dahuricae Radix-Platycodonis Radix-Saposhnikoviae Radix". Then, according to the medication law for cold pestilence, the antiviral active components of medium-frequency and high-frequency medicinals were retrieved. It was found that these components exerted the antiviral effect by inhibiting virus replication, regulating virus proteins and antiviral signals, and suppressing protease activity. Based on network pharmacology, the mechanisms of the medicinals against severe acute respiratory syndrome coronavirus(SARS-CoV), 2019 novel coronavirus(2019-nCoV), and H1 N1 virus were explored. It was determined that the key targets were tumor necrosis factor(TNF), endothelial growth factor A(VEGFA), serum creatinine(SRC), epidermal growth factor receptor(EGFR), matrix metalloproteinase 9(MMP9), mitogen-activated protein kinase 14(MAPK14), and prostaglandin-endoperoxide synthase 2(PTGS2), which were involved the mitogen-activated protein kinase(MAPK) pathway, advanced glycation end-products(AGE)-receptor for AGE(RAGE) pathway, COVID-19 pathway, and mTOR pathway. This paper elucidated the medication law and mechanism of TCM for the prevention and treatment of epidemic diseases under the guidance of TCM theory of cold pestilence, in order to build a bridge between the theory and modern epidemic diseases and provide reference TCM methods for the prevention and treatment of modern epidemic diseases and ideas for the application of data mining to TCM treatment of modern diseases.
Aconitum ; Antiviral Agents ; COVID-19/epidemiology* ; Calcium Sulfate ; Communicable Disease Control ; Communicable Diseases/virology* ; Creatinine ; Cyclooxygenase 2 ; Drugs, Chinese Herbal/therapeutic use* ; Endothelial Growth Factors ; Epidemics/prevention & control* ; ErbB Receptors ; Humans ; Matrix Metalloproteinase 9 ; Medicine, Chinese Traditional ; Mitogen-Activated Protein Kinase 14 ; Pinellia ; SARS-CoV-2 ; TOR Serine-Threonine Kinases ; Tumor Necrosis Factors ; COVID-19 Drug Treatment

PURPOSE: Alcohol has been associated with 10%-35% trauma admissions and 40% trauma-related deaths globally. In response to the COVID-19 pandemic, the United Kingdom entered a state of "lockdown" on March 23, 2020. Restrictions were most significantly eased on June 1, 2020, when shops and schools re-opened. The purpose of this study was to quantify the effect of lockdown on alcohol-related trauma admissions. METHODS: All adult patients admitted as "trauma calls" to a London major trauma centre during April 2018 and April 2019 (pre-lockdown, n = 316), and 1st April-31st May 2020 (lockdown, n = 191) had electronic patient records analysed retrospectively. Patients' blood alcohol level and records of intoxication were used to identify alcohol-related trauma. Trauma admissions from pre-lockdown and lockdown cohorts were compared using multiple regression analyses. RESULTS: Alcohol-related trauma was present in a significantly higher proportion of adult trauma calls during lockdown (lockdown 60/191 (31.4%), vs. pre-lockdown 62/316 (19.6%); (odds ratio (OR): 0.83, 95% CI: 0.38-1.28, p < 0.001). Lockdown was also associated with increased weekend admissions of trauma (lockdown 125/191 weekend (65.5%) vs. pre-lockdown 179/316 (56.7%); OR: 0.40, 95% CI: 0.79 to -0.02, p = 0.041). No significant difference existed in the age, gender, or mechanism between pre-lockdown and lockdown cohorts (p > 0.05). CONCLUSIONS The United Kingdom lockdown was independently associated with an increased proportion of alcohol-related trauma. Trauma admissions were increased during the weekend when staffing levels are reduced. With the possibility of further global "waves" of COVID-19, the long-term repercussions of dangerous alcohol-related behaviour to public health must be addressed.
Adult ; COVID-19/epidemiology* ; Cohort Studies ; Communicable Disease Control ; Humans ; London/epidemiology* ; Pandemics ; Retrospective Studies ; Trauma Centers

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