Objective:To analyze the association between healthcare workers mental health,institu-tional supplies and facilities,inter-organizational coordination during infectious disease outbreaks,and the healthcare institution resilience.Methods:An online questionnaire survey was conducted among the healthcare workforce from 146 institutions in Beijing from January 13,2023 to February 9,2023,and a total of 1 434 eligible respondents were included.The sample comprised 408 responses from tertiary hos-pitals,117 from secondary hospitals,and 909 from primary care institutions.The resilience indicator for healthcare institutions was defined as the degree to which medical services met patient demands,with in-fluencing factors including physical factors,such as material shortages and facility space adaptation or ex-pansion,organizational factors such as information sharing and patient referral,and psychological factors were evaluated using job satisfaction(extrinsic satisfaction,intrinsic satisfaction),burnout(emotional exhaustion,depersonalization,reduced personal accomplishment),and depression status.Ordered mul-ticlassification Logistic regression was used to examine the impact of various factors on the degree to which healthcare services met patient needs;additionally,demographic factors that might influence institutional resilience were controlled.Results:During the emergency response phase,93％of hospitals maintained the capacity to meet patient needs,though tertiary hospitals demonstrated significantly higher rates of service inadequacy(21.05％).Material shortages were reported across all institutions,with tertiary hos-pitals experiencing more frequent multi-item shortages.Inter-institutional collaboration patterns revealed substantial variation:87.50％of primary care facilities,42.86％of secondary hospitals,and 31.58％of tertiary hospitals.Healthcare workers across all levels reported mild depressive symptoms and moderate-to-severe burnout levels.Regression analysis showed high satisfaction(overall satisfaction β=0.04,ex-trinsic satisfaction β=0.06,and intrinsic satisfaction β=0.08),low degree of job burnout(emotional exhaustion β=-0.04,depersonalization β=-0.07 and reduced personal accomplishment β=0.01),low degree of depression(β=-0.06)were significantly associated with higher healthcare institution re-silience.In addition,material shortages were significantly associated with lower resilience,and renova-tion and expansion of treatment spaces,and information sharing,were all associated with higher resilience.Demographic factors(age,gender,marital status,educational background,etc.)had no sig-nificant impact on resilience.Conclusion:Mental health status significantly influences healthcare institu-tion resilience.As human resources constitute the core asset of healthcare institutions,strategic optimiza-tion of workforce allocation and psychological support interventions can effectively strengthen resilience.Moreover,healthcare institution resilience is positively impacted by orderly material supply chains,timely resource distribution,and adaptive reconfiguration of clinical spaces.Finally,facilitating information sharing also enhances institutional resilience.

Disease X refers to a new type of infectious disease that has not yet been identified or named as a poten-tial global pandemic,which poses a serious threat to human health.It is characterized by high contagiousness,rapid transmission,widespread susceptibility of the population,and the absence of effective treatment options or vaccines in the early stages.Since the World Health Organization(WHO)proposed the concept of disease X in 2018,new pathogens of disease such as the novel coronavirus and monkeypox virus X have been constantly e-merged.The pandemic of novel coronavirus infection has caused great harm to the global economy and human health,and other new pathogens may emerge in the future.It aims to reduce the harm to human beings by strengthening the knowledge about disease X and taking appropriate countermeasures.This article provides a com-prehensive overview of disease X from four aspects:the concept,characteristics,possible pathogens and counter-measures of disease X,and proposes the scientific countermeasures to disease X such as strengthening surveil-lance,improving capabilities of rapid detection,taking appropriate control measures,actively conducting vaccine research and development and treatment research,and boosting global cooperation and information sharing so as to provide bases for coping with the disease X that may occur in the future.

Disease X refers to a new type of infectious disease that has not yet been identified or named as a poten-tial global pandemic,which poses a serious threat to human health.It is characterized by high contagiousness,rapid transmission,widespread susceptibility of the population,and the absence of effective treatment options or vaccines in the early stages.Since the World Health Organization(WHO)proposed the concept of disease X in 2018,new pathogens of disease such as the novel coronavirus and monkeypox virus X have been constantly e-merged.The pandemic of novel coronavirus infection has caused great harm to the global economy and human health,and other new pathogens may emerge in the future.It aims to reduce the harm to human beings by strengthening the knowledge about disease X and taking appropriate countermeasures.This article provides a com-prehensive overview of disease X from four aspects:the concept,characteristics,possible pathogens and counter-measures of disease X,and proposes the scientific countermeasures to disease X such as strengthening surveil-lance,improving capabilities of rapid detection,taking appropriate control measures,actively conducting vaccine research and development and treatment research,and boosting global cooperation and information sharing so as to provide bases for coping with the disease X that may occur in the future.

Objective:To analyze the association between healthcare workers mental health,institu-tional supplies and facilities,inter-organizational coordination during infectious disease outbreaks,and the healthcare institution resilience.Methods:An online questionnaire survey was conducted among the healthcare workforce from 146 institutions in Beijing from January 13,2023 to February 9,2023,and a total of 1 434 eligible respondents were included.The sample comprised 408 responses from tertiary hos-pitals,117 from secondary hospitals,and 909 from primary care institutions.The resilience indicator for healthcare institutions was defined as the degree to which medical services met patient demands,with in-fluencing factors including physical factors,such as material shortages and facility space adaptation or ex-pansion,organizational factors such as information sharing and patient referral,and psychological factors were evaluated using job satisfaction(extrinsic satisfaction,intrinsic satisfaction),burnout(emotional exhaustion,depersonalization,reduced personal accomplishment),and depression status.Ordered mul-ticlassification Logistic regression was used to examine the impact of various factors on the degree to which healthcare services met patient needs;additionally,demographic factors that might influence institutional resilience were controlled.Results:During the emergency response phase,93％of hospitals maintained the capacity to meet patient needs,though tertiary hospitals demonstrated significantly higher rates of service inadequacy(21.05％).Material shortages were reported across all institutions,with tertiary hos-pitals experiencing more frequent multi-item shortages.Inter-institutional collaboration patterns revealed substantial variation:87.50％of primary care facilities,42.86％of secondary hospitals,and 31.58％of tertiary hospitals.Healthcare workers across all levels reported mild depressive symptoms and moderate-to-severe burnout levels.Regression analysis showed high satisfaction(overall satisfaction β=0.04,ex-trinsic satisfaction β=0.06,and intrinsic satisfaction β=0.08),low degree of job burnout(emotional exhaustion β=-0.04,depersonalization β=-0.07 and reduced personal accomplishment β=0.01),low degree of depression(β=-0.06)were significantly associated with higher healthcare institution re-silience.In addition,material shortages were significantly associated with lower resilience,and renova-tion and expansion of treatment spaces,and information sharing,were all associated with higher resilience.Demographic factors(age,gender,marital status,educational background,etc.)had no sig-nificant impact on resilience.Conclusion:Mental health status significantly influences healthcare institu-tion resilience.As human resources constitute the core asset of healthcare institutions,strategic optimiza-tion of workforce allocation and psychological support interventions can effectively strengthen resilience.Moreover,healthcare institution resilience is positively impacted by orderly material supply chains,timely resource distribution,and adaptive reconfiguration of clinical spaces.Finally,facilitating information sharing also enhances institutional resilience.

China has classified the Corona Virus Disease 2019(COVID-19) as a statutory category B infectious disease and managed it according to Category B since January 8, 2023.In view that Omicron variant is currently the main epidemic strain in China, in order to guide the treatment of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) infection in children with the times, refer to the Diagnosis and Treatment Protocol for Novel Coronavirus Infection (Trial 10 th Edition), Expert Consensus on Diagnosis, Treatment and Prevention of Novel Coronavirus Infection in Children (Fourth Edition) and the Diagnosis and Treatment Strategy for Pediatric Related Viral Infections.The Expert Consensus on the Diagnosis, Treatment and Prevention of Novel Coronavirus Infection in Children (Fifth Edition) has been formulated and updated accordingly on related etiology, epidemiology, pathogenic mechanism, clinical manifestations, auxiliary examination, diagnosis and treatment, and added key points for the treatment of COVID-19 related encephalopathy, fulminating myocarditis and other serious complications for clinical reference.

Monkeypox is a zoonotic disease.Previous studies have shown that children are vulnerable to monkeypox and are also at high risk for severe disease or complications.In order to improve pediatricians′ understanding of monkeypox and achieve early detection, early diagnosis, early treatment and early disposal, the committee composed of more than 40 experts in the related fields of infectious diseases, pediatrics, infection control and public health formulate this expert consensus, on the basis of the latest clinical management and infection prevention and control for monkeypox released by the World Health Organization (WHO), the guidelines for diagnosis and treatment of monkeypox (version 2022) issued by National Health Commission of the People′s Republic of China and other relevant documents.During the development of this consensus, multidisciplinary experts have repeatedly demonstrated the etiology, epidemiology, transmission, clinical manifestations, laboratory examinations, diagnosis and differential diagnosis, treatment, discharge criteria, prevention, case management process and key points of prevention and control about monkeypox.

Since December 2019, severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) infections have raged globally for more than 2 years.China has always adopted scientific and effective prevention and control measures to achieved some success.However, with the continuous variation of SARS-CoV-2 cases and imported cases from abroad, the prevention and control work has become more difficult and complex.With the variation of the mutant strain, the number of cases in children changed, and some new special symptoms and complications were found, which proposed a new topic for the prevention and treatment of SARS-CoV-2 infection in children in China.Based on the third edition, the present consensus according to the characteristics of the new strain, expounded the etiology, pathology, pathogenesis, and according to the clinical characteristics and experience of children′s cases, and puts forward recommendations on the diagnostic criteria, laboratory examination, treatment, prevention and control of children′s cases for providing reference for further guidance of effective prevention and treatment of SARS-CoV-2 infection in children in China.

The rationale for the antibiotic treatment of viral community-acquired pneumonia (CAP) in adults was analyzed to develop a clinical reference standard for this condition. Clinical data from 166 patients diagnosed with viral pneumonia across 14 hospitals in Beijing from November 2010 to December 2017 were collected. The indications for medications were evaluated, and the rationale for the use of antibiotics was analyzed. A total of 163 (98.3%) patients with viral pneumonia were treated with antibiotics. A combination of C-reactive protein (CRP) and procalcitonin (PCT) was used as markers to analyze the possible indications for antibiotic use. With threshold levels set at 0.25 µg/L for PCT and 20 mg/L for CRP, the rate of unreasonable use of antibiotics was 55.2%. By contrast, at a CRP level threshold of 60 mg/L, the rate of antibiotic misuse was 77.3%. A total of 39 of the 163 (23.9%) patients did not meet the guidelines for drug selection for viral CAP in adults. The unreasonable use of antibacterial drugs for the treatment of viral CAP in adults is a serious concern. Clinicians must reduce the unnecessary use of antibiotics.
Adult ; Anti-Bacterial Agents/therapeutic use* ; Biomarkers ; Calcitonin ; Community-Acquired Infections/drug therapy* ; Humans ; Pneumonia/drug therapy* ; Protein Precursors

2019 novel coronavirus(2019-nCoV) outbreak is one of the public health emergency of international concern.Since the 2019-nCoV outbreak, China has been adopting strict prevention and control measures, and has achieved remarkable results in the initial stage of prevention and control.However, some imported cases and sporadic regional cases have been found, and even short-term regional epidemics have occurred, indicating that the preventing and control against the epidemic remains grim.With the change of the incidence proportion and the number of cases in children under 18 years old, some new special symptoms and complications have appeared in children patients.In addition, with the occurrence of virus mutation, it has not only attracted attention from all parties, but also proposed a new topic for the prevention and treatment of 2019-nCoV infection in children of China.Based on the second edition, the present consensus further summarizes the clinical characteristics and experience of children′s cases, and puts forward recommendations on the diagnostic criteria, laboratory examination, treatment, prevention and control of children′s cases for providing reference for further guidance of treatment of 2019-nCoV infection in children.

Objective:To investigate the influencing factors of hospitalization for pregnant women with influenza A.Methods:From December 2018 to February 2019, 261 pregnant women with influenza A were admitted to Beijing Ditan Hospital, Capital Medical University. The clinical data of age, gestational period, underlying diseases, time from onset to treatment, white blood cell count and lymphocyte count of these patients were collected. Data of out-patients were compared with those of inpatients. Chi-square test and multivariate logistic regression were used to analyze the influencing factors of hospitalization in pregnant women with influenza A.Results:Among the 261 cases of pregnancy with influenza A, 36 cases (13.79%) were hospitalized, of which 10 (27.78%) were hospitalized due to severe influenza complications, the other 26 cases (72.22%) were hospitalized due to pregnancy related adverse events. The proportions of hospitalized patients with age ≥30 years old, gestational period ≥28 weeks, combined with underlying diseases and lymphocyte count <1×10 9/L were 75.00%(27/36), 83.33%(30/36), 16.67%(6/36) and 50.00%(18/36), respectively, which were significantly higher than those of out-patients (47.11%(106/225), 35.56%(80/225), 0.89%(2/225) and 13.22%(16/121), respectively; χ2=9.66, 29.05, 26.00 and 22.12, respectively, all P<0.05). The proportions of inpatients and out-patients with white blood cell count ≥4×10 9/L were 97.22%(35/36) and 97.52%(118/121), respectively, and there was no significant difference ( χ2=0.01, P=0.921). Multivariate logistic regression analysis showed that age ≥30 years (odds ratio ( OR)=5.181, 95% confidence interval ( CI) 1.628-16.489, P=0.005), gestational period ≥28 weeks ( OR=11.054, 95% CI 3.233-37.796, P<0.01), lymphocyte count <1×10 9/L ( OR=6.864, 95% CI 2.237-20.729, P=0.001), and time from onset to treatment <24 h ( OR=0.076, 95% CI 0.012-0.468, P=0.005) were the influencing factors for hospitalization of pregnant women with influenza A. Conclusion:Age ≥30 years old, gestational period ≥28 weeks, lymphocyte count <1×10 9/L and time from onset to treatment <24 h are the influencing factors for hospitalization of pregnant women with influenza A.