Respiratory infectious diseases (RID) are the major public health problems threatening the people's lives and health.Infection control (IC) is one of the effective tools to contain the occurrence and spread of RID.We collected the articles and data on IC published since January 1,2018 and summarized the achievements,problems,and challenges of IC from administrative control,management control,environment and engineering control,and personal protection in the medical institutions and public places in China.The efforts for IC vary in different regions and medical institutions of different levels.There are still links to be improved for IC from administrative control,management control,environment and engineering control,and personal protection,especially in community-level medical institutions and public areas.It is urgent to strengthen the implementation of IC policies and conduct IC precisely according to local situations.We proposed the following suggestions.First,the existing IC products and tools should be applied to precisely implement the IC measures;second,modern high technology should be employed to develop efficient and convenient IC products and tools;finally,a digital or intelligent IC platform should be built for monitoring infections,so as to contain the occurrence and spread of RID.
Humans ; COVID-19 ; Infection Control ; Communicable Diseases ; China/epidemiology*

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*

Objective: To understand the epidemiological characteristics of tick-borne infectious diseases (TBID) and the risk factors of severe illness and death in Hubei Province from 2016 to 2021. Methods: Based on the incidence data of fever with thrombocytopenia syndrome (SFTS), tsutsugamushi disease, typhus and other TBID reported during 2016-2021, the epidemiological analysis was conducted. Field investigation results of TBID in areas with high incidence in 2021, logistic regression analysis of population characteristics, epidemiological history and other factors were used to explore the risk factors of severe and fatal cases. In the field vector investigation, free ticks and surface ticks of the host animals in the cases' home and surrounding grassland were monitored and detected. Results: A total of 3 826 TBID cases were reported in Hubei from 2016 to 2021, of which 71.30% (2 728/3 826) were SFTS, 13.04% (499/3 826) were tsutsugamushi disease and 15.66% (599/3 826) were typhus. A total of 44 cases died in 6 years; the fatality rate was 1.15% (44/3 826). In the peak seasons of incidence from May to July, the cases in people engaged in agriculture related work accounted for 84.61% (3 237/3 826). The incidence rate in women was higher than that in men, and the cases aged ≥50 years accounted for 81.02% of the total (3 100/3 826), and the incidence rate increased with age (P<0.001). The TBID cases were distributed in 86 counties and districts in 16 prefectures (municipality). The incidence rates of different areas had significant differences (P<0.05), and there was a certain spatial-temporal clustering and expasion. Bovis microplus and Haemaphysalis longicornis were captured in the field, and the positive rates in host animals and grassland ticks were 10.94% (7/64) and 40.00% (2/5), respectively. Univariate logistic regression analysis results showed that age ≥50 years and leukocyte <2.0×10⁹/L were risk factors for severe illness and death. Conclusions: The TBID reported in Hubei were mainly SFTS, tsutsugamushi disease and typhus. In order to reduce the incidence of TBID, it is necessary to strengthen the prevention and control in women aged ≥50 years and reduce field exposure and tick bites during the epidemic period.
Animals ; Female ; Typhus, Epidemic Louse-Borne ; Scrub Typhus/epidemiology* ; Severe Fever with Thrombocytopenia Syndrome ; Ticks ; Communicable Diseases ; Phlebovirus ; China/epidemiology* ; Tick-Borne Diseases/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*

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*

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

Since the global pandemic of COVID-19, different countries have implemented various prevention and control measures, which has affected the epidemic characteristics of respiratory infectious diseases such as influenza. From 2020 to 2021, the level of influenza activity was relatively low, but it is necessary to be alert that with the adjustment of national prevention and control measures, influenza may have a relatively strong epidemic rebound. In order to deal with influenza epidemic, experts were organized to publish a series of influenza studies in this issue, suggesting that influenza prevention and control cannot be underestimated during the COVID-19 pandemic. It is suggested to carry out research on the interaction between COVID-19 and influenza to explore the epidemic characteristics of the disease, develop new technologies and tools to improve the efficiency of monitoring and early warning, identify obstacles to vaccination, promote the scientific implementation of intervention measures, and achieve joint prevention and control of multiple diseases.
Humans ; Influenza, Human/prevention & control* ; COVID-19 ; Pandemics/prevention & control* ; Vaccination ; Communicable Diseases/epidemiology*

Objective: To understand the epidemiological characteristics of notifiable infectious diseases reported in Beijing in 2021 under the influence of the novel coronavirus pneumonia epidemic prevention and control policy, and provide reference evidence for the prevention and control of notifiable infectious diseases. Methods: Descriptive epidemiological methods were used to analyze the morbidity of notifiable infectious diseases reported in Beijing in 2021, with software R 4.1.2 for data process and ArcGIS 10.8 for visualization. Results: The morbidity of notifiable infectious diseases in Beijing in 2021 was 290.51/100 000, a decrease of 43.29% compared with 2020 and a decrease of 71.45% compared with the average during 2017-2019. The top 5 reported diseases with high morbidity were other infectious diarrhea, influenza, hand foot and mouth disease, pulmonary tuberculosis and syphilis. From the perspective of transmission route, intestinal infectious diseases were the main diseases, accounting for 50.15% (31 898/63 601) of the total cases. From the perspective of pathogens, viral infectious diseases were the main diseases, accounting for 59.63% (25 259/42 356) of the total cases. The laboratory diagnosis rate of notifiable infectious diseases reported in Beijing increased from the average of 16.47% (36 289/220 371) during 2017-2019 to 35.36% (22 490/63 601) in 2021. The laboratory diagnosis rate of parasitic infectious diseases was 83.33%. The districts with high incidence of intestinal infectious diseases were Pinggu, Miyun and Fengtai; Natural foci and insect borne infectious diseases were mainly reported in Yanqing, Mentougou, Fangshan and Daxing. Conclusion: The morbidity of notifiable infectious diseases in Beijing in 2021 showed a decrease trend. The laboratory confirmation rate of reported notifiable infectious disease cases increased, and there were great differences in the laboratory confirmation rate among different diseases. It is very necessary to improve the laboratory confirmation rate of the cases. The diseases with different transmission routes showed different geographical distributions. It is necessary to conduct the targeted prevention and control of infectious diseases in different areas.
Beijing ; COVID-19 ; Communicable Diseases/epidemiology* ; Dysentery ; Humans ; Incidence

Objective: To study the stressors and mental status of civil aviation pilots under the background of major infectious disease. Methods: From January to March 2021, a cluster sampling method was used to select 143 airline pilots in service as the research objects. The self-made emotion and stress source questionnaire, Chinese version of stress perception scale (CPSS) , self rating Anxiety Scale (SAS) and self rating Depression Scale (SDS) were used to investigate the airline pilot population. 136 valid questionnaires were collected, with an effective recovery rate of 95.1%. The measurement data conform to the normal distribution and are expressed by (x±s) . T-test and analysis of variance are used for comparison between groups, and Pearson correlation is used for correlation analysis. The data that do not conform to the normal distribution are expressed by the median and quartile [M (Q(1), Q(3)) ], and the non parametric test is used for the comparison between groups. Multiple linear stepwise regression was used to analyze the influencing factors of pressure perception. In addition, Amos 23.0 software was used to construct structural equation models of stress perception and negative emotions. Results: Under the background of the epidemic, the main sources of stress for civil aviation pilots are: the risk of possible reduction in income, the risk of contracting COVID-19, the pressure at work, and the risk of possible slow progress of upgrading. Among them, the first co pilot was more worried about the possible reduction of income than the instructor (P=0.009) ; The first co pilot and the captain of the airline were more worried about the possible slowdown of the upgrade progress than the instructor (P<0.001, P=0.014) . The mean pressure perception of pilots was higher than that of Chinese norm (t=3.11, P=0.002) . The standard scores of anxiety and depression were slightly higher than the standard scores of the Chinese norm under the non epidemic situation (t=7.00, 4.07, all P<0.001) . The results of multiple linear stepwise regression analysis showed that stress perception was negatively correlated with good family relations (t=-8.50, P=0.000) , and positively correlated with worries about slow progress of upgrading, COVID-19 infection, lack of interpersonal communication and income reduction (t=3.31、3.86、2.88、2.06, P<0.05) . Pressure perception was positively correlated with negative emotion (all P<0.001) . The results of structural equation model show that stress perception affects pilots' negative emotions directly or indirectly, and its standardized total effects on anxiety, depression, hypochondriac, fear, compulsion and irritability are 0.719, 0.811, 0.403, 0.355, 0.295 and 0.244 respectively. Conclusion: Public health emergencies have an impact on the mental status of pilots. Should pay attention to the stressors and psychological conditions of pilots in time, and consider formulating measures to relieve the stress of pilots.
Anxiety/epidemiology* ; Aviation ; COVID-19 ; Communicable Diseases ; Humans ; Pilots/psychology*

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