Child ; Humans ; Mpox (monkeypox)/prevention & control* ; Disease Outbreaks

Pertussis is an acute, highly infectious respiratory disease caused by Bordetella pertussis, and is one of the leading causes of infant disease and death worldwide. The pertussis vaccine has been used in the expanded program on immunization globally since 1974 and the vaccination coverage remains high. In recent years, the pertussis incidence rate increased, even pertussis outbreaks occurred, in more and more countries or areas after years with low incidence level. The disease burden of pertussis has been seriously underestimated, and the prevention and control of pertussis is facing many challenges. This article reviews the epidemic status of pertussis worldwide, the factors affecting the reemergence of pertussis, and the challenges in the prevention and control to provide a reference for prevention and control of pertussis.
Infant ; Humans ; Whooping Cough/prevention & control* ; Vaccination ; Pertussis Vaccine/therapeutic use* ; Bordetella pertussis ; Disease Outbreaks

OBJECTIVE: To analyze the global epidemic status of the Ebola virus disease (EVD) and assess the importation risk into China. METHODS: Data from World Health Organization reports were used. We described the global epidemic status of EVD from 1976-2021, and assessed and ranked the importation risk of EVD from the disease-outbreaking countries into China using the risk matrix and Borda count methods, respectively. RESULTS: From 1976-2021, EVD mainly occurred in western and central Africa, with the highest cumulative number of cases (14,124 cases) in Sierra Leone, and the highest cumulative fatality rate (85%) in the Congo. Outbreaks of EVD have occurred in the Democratic Republic of the Congo and Guinea since 2018. The importation risk into China varies across countries with outbreaks of disease. The Democratic Republic of the Congo had an extremely high risk (23 Borda points), followed by Guinea and Liberia. Countries with a moderate importation risk were Nigeria, Uganda, Congo, Sierra Leone, Mali, and Gabon, while countries with a low importation risk included Sudan, Senegal, and Co^te d'Ivoire. CONCLUSION China is under the risk of EVD importation with the globalization and severe epidemic status of EVD. Key attention need to be paid to the Democratic Republic of the Congo, Guinea, and Liberia. Therefore, it is necessary to prevent and prepare in advance for importation risk in China.
Humans ; Hemorrhagic Fever, Ebola/prevention & control* ; Epidemics ; Disease Outbreaks/prevention & control* ; Guinea/epidemiology* ; Sierra Leone/epidemiology* ; 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*

The Omicron family of SARS-CoV-2 variants are currently driving the COVID-19 pandemic. Here we analyzed the clinical laboratory test results of 9911 Omicron BA.2.2 sublineages-infected symptomatic patients without earlier infection histories during a SARS-CoV-2 outbreak in Shanghai in spring 2022. Compared to an earlier patient cohort infected by SARS-CoV-2 prototype strains in 2020, BA.2.2 infection led to distinct fluctuations of pathophysiological markers in the peripheral blood. In particular, severe/critical cases of COVID-19 post BA.2.2 infection were associated with less pro-inflammatory macrophage activation and stronger interferon alpha response in the bronchoalveolar microenvironment. Importantly, the abnormal biomarkers were significantly subdued in individuals who had been immunized by 2 or 3 doses of SARS-CoV-2 prototype-inactivated vaccines, supporting the estimation of an overall 96.02% of protection rate against severe/critical disease in the 4854 cases in our BA.2.2 patient cohort with traceable vaccination records. Furthermore, even though age was a critical risk factor of the severity of COVID-19 post BA.2.2 infection, vaccination-elicited protection against severe/critical COVID-19 reached 90.15% in patients aged ≽ 60 years old. Together, our study delineates the pathophysiological features of Omicron BA.2.2 sublineages and demonstrates significant protection conferred by prior prototype-based inactivated vaccines.
Humans ; Aged ; Middle Aged ; COVID-19/prevention & control* ; SARS-CoV-2 ; Pandemics/prevention & control* ; China/epidemiology* ; Disease Outbreaks/prevention & control* ; Vaccination

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*

Recently, monkeypox has become a global concern amid the ongoing COVID-19 pandemic. Monkeypox is an acute rash zoonosis caused by the monkeypox virus, which was previously concentrated in Africa. The re-emergence of this pathogen seems unusual on account of outbreaks in multiple nonendemic countries and the incline to spread from person to person. We need to revisit this virus to prevent the epidemic from getting worse. In this review, we comprehensively summarize studies on monkeypox, including its epidemiology, biological characteristics, pathogenesis, and clinical characteristics, as well as therapeutics and vaccines, highlighting its unusual outbreak attributed to the transformation of transmission. We also analyze the present situation and put forward countermeasures from both clinical and scientific research to address it.
COVID-19 ; Disease Outbreaks/prevention & control* ; Humans ; Monkeypox/epidemiology* ; Monkeypox virus ; Pandemics/prevention & control*

In China, the incidence rate of Hepatitis A has decreased from 56/100 000 in 1991 to 1.05/100 000 in 2020. The number of Hepatitis A outbreaks in China has decreased significantly, however, it has also happened in the last 5 years, and the risk still remains. In order to strengthen the technical guidance for the investigation and control of Hepatitis A outbreak, the Chinese Center for Disease Control and Prevention (China CDC) organized experts in related fields to compile this guideline. The main contents included outbreak definition, outbreak detecting and reporting, outbreak investigation and response, making conclusion and communication. This guideline is intended for use by staff at public health administrative departments, medical and health institutions, centers for disease control and prevention, health supervision agencies at different levels, and other relevant institutions, units and individuals. China CDC will update this guideline periodically based on the progress in this field and feedbacks during the implementation of this guideline.
Centers for Disease Control and Prevention, U.S. ; China/epidemiology* ; Disease Outbreaks/prevention & control* ; Hepatitis A/epidemiology* ; Humans ; Public Health ; United States

Objective To assess the psychological status of staff at the centers for disease control and prevention(CDC) in Sichuan during the outbreak of coronavirus disease 2019(COVID-19) and explore the influencing factors. Methods The staff at Sichuan provincial,municipal,and county(district)-level CDC were selected by convenience sampling.Their basic information,work status,training status,work difficulties,and support from the work group were collected from the self-filled questionnaires online.The Generalized Anxiety Disorder Scale and the 9-question Patient Health Questionnaire were respectively employed to measure the anxiety and depression of the staff.The stepwise Logistic regression was carried out to analyze the influencing factors of anxiety and depression in CDC staff. Results Among the 653 staff,58.35% and 50.06% presented anxiety and depression,respectively.The regression results showed that age(OR=0.95,95%CI=0.92-0.97) and mental support from the work group(OR=0.61,95%CI=0.45-0.82) were the protective factors while physical fatigue(OR=1.82,95%CI=1.20-2.74),work pressure(OR=1.61,95%CI=1.21-2.12),and insufficient protective equipment(OR=1.92,95%CI=1.06-3.49) were the risk factors for depression of CDC staff.Age(OR=0.97,95%CI=0.94-0.99),length of sleep per day(OR=0.74,95%CI=0.56-0.96),and participation in technical training(OR=0.33,95%CI=0.12-0.95) were the protective factors while mental fatigue(OR=1.68,95%CI=1.18-2.41),work pressure(OR=2.94,95%CI=2.08-4.17),and unclear incentive system for overtime(OR=1.99,95%CI=1.23-3.23) were the risk factors for the anxiety of CDC staff. Conclusion The anxiety and depression status of CDC staff during the COVID-19 outbreak were worrying,which were mainly affected by age,sleep,supply of protective equipment,incentive system,fatigue,and work pressure.
Anxiety/epidemiology* ; COVID-19 ; Centers for Disease Control and Prevention, U.S. ; China/epidemiology* ; Cross-Sectional Studies ; Disease Outbreaks ; Humans ; SARS-CoV-2 ; Surveys and Questionnaires ; United States