ABSTRACT
Foot and mouth disease is a highly contagious viral disease that poses a significant economic threat to cloven-hoofed animals, including cattle and sheep. The emergence of a novel foot and mouth disease virus-A isolate, FMDV-A-Egy-AHRI-RL385-Ven-2022, in Egypt in 2022 has raised concerns about its potential impact on existing vaccination programs. Given that vaccination is a key strategy for foot and mouth disease virus control, the present study was aimed to assess the cross-protective efficacy of both local and imported inactivated vaccines against this new threat. Through challenge experiments and serum neutralization tests, we observed limited effectiveness of both vaccine types. The calculated r1-values at 28 days post-vaccination indicated a minimal immune response to FMDV-A-Egy-AHRI-RL385-Ven-2022 (0.176 and 0.175 for local and imported vaccines, respectively). Challenge experiments further confirmed these findings, revealing 0percent protection from the local vaccine and only 20percent rotection from imported vaccines by day 7 post-challenge. These results underscore the urgent need to update existing foot and mouth disease virus vaccines in Egypt by incorporating the newly circulating FMDV-A-Egy-AHRI-RL385-Ven-2022 strain. This proactive measure is crucial to prevent future outbreaks and ensure effective disease control(AU)
La fiebre aftosa es una enfermedad vírica muy contagiosa que supone una importante amenaza económica para los animales biungulados, entre ellos el ganado vacuno y ovino. La aparición de un nuevo aislado del virus A de la fiebre aftosa, el FMDV-A-Egy-AHRI-RL385-Ven-2022, en Egipto en 2022 ha suscitado preocupación por su posible impacto en los programas de vacunación existentes. Dado que la vacunación es una estrategia clave para el control del virus de la fiebre aftosa, el objetivo del presente estudio fue evaluar la eficacia protectora cruzada de las vacunas inactivadas locales e importadas frente a esta nueva amenaza. Mediante experimentos de desafío y pruebas de seroneutralización, observamos una eficacia limitada de ambos tipos de vacuna. Los valores r1 calculados a los 28 días posvacunación indicaron una respuesta inmunitaria mínima frente a FMDV-A-Egy-AHRI-RL385-Ven-2022 (0,176 y 0,175 para las vacunas local e importada, respectivamente). Los experimentos de provocación confirmaron aún más estos resultados, revelando un 0 por ciento de protección de la vacuna local y sólo un 20 por ciento de protección de las vacunas importadas al séptimo día después de la provocación. Estos resultados subrayan la urgente necesidad de actualizar las vacunas existentes contra el virus de la fiebre aftosa en Egipto incorporando la nueva cepa circulante FMDV-A-Egy-AHRI-RL385-Ven-2022. Esta medida proactiva es crucial para prevenir futuros brotes y garantizar un control eficaz de la enfermedad(AU)
Subject(s)
Animals , Disease Outbreaks , Livestock , Foot-and-Mouth Disease/epidemiology , Vaccines , EgyptABSTRACT
Background: Infectious disease outbreaks are common in sub-Saharan Africa (SSA). Consequently, integrated public health surveillance has become increasingly essential for the region. Health surveillance systems enable early detection and monitoring of emerging and re-emerging disease outbreaks, thus informing preparedness and response measures. However, complex and intertwined factors obstruct a successful integrated public health surveillance in SSA, with dire consequences. Objectives: The objective of this article was to establish how big data analytics can be used to enhance integrated infectious disease surveillance and response in SSA. Method: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was used to identify and select relevant articles. A total of 10 studies that addressed the article's objective were selected. Results: Findings reveal several barriers to the application of big data analytics for public health surveillance in SSA. These include the absence of regulatory and data governance frameworks for big data management in healthcare, disparities in digital health infrastructure across SSA's healthcare systems, and the digital and analytical skills required for data capture and interpretation. The development of regulatory frameworks is essential for the ethical application of analytical technologies such as artificial intelligence. Conclusion: This article's contributions emphasise the need for comprehensive strategies for the application of big data analytics for public health surveillance, as well as addressing barriers to its successful application by highlighting the requirements for an integrated infectious disease surveillance and response system in SSA. Contribution: The article contributes to the body of knowledge on the interplay between the public health space and digital health interventions by emphasising the beneficial applications of big data analytics for surveillance and response to address emerging and re-emerging infectious disease outbreaks in the health systems of sub-Saharan Africa.
Subject(s)
Humans , Male , Female , Communicable Diseases , Surveillance in Disasters , Disease OutbreaksABSTRACT
El Haemophilus influenzae (Hi) causa enfermedad invasiva (EI). Se distinguen cepas capsuladas, como el serotipo b (Hib), y cepas no tipificables (HNT). Al año de declarada la pandemia por COVID-19, observamos un aumento de casos. Se describen las características clínico-epidemiológicas de niños con EI por Hi internados en el hospital (julio 2021-julio 2022). Hubo 14 casos; 12 previamente sanos. Aislamientos: Hib (n = 6), Hi serotipo a (n = 2), HNT (n = 5), 1 no se tipificó. Mediana de edad: 8,5 meses (RIC 4-21). Manifestaciones: meningitis (n = 5), neumonía (n = 6), celulitis (n = 2), artritis (n = 1). Nueve presentaron vacunación incompleta para Hib. Observamos un incremento de EI por Hi de 2,5 veces respecto a años previos. Estos datos sugieren el resurgimiento de Hib por la caída de las coberturas de vacunación y porque otras cepas de Hi no b están en aumento.
Haemophilus influenzae (Hi) causes invasive disease. There are encapsulated strains, such as serotype b (Hib), and non-typeable strains (NTHi). One year after the outbreak of the COVID-19 pandemic, the number of cases increased. In this report we describe the clinical and epidemiological characteristics of children hospitalized with invasive Hi disease (July 2021-July 2022). There were 14 cases; 12 were previously healthy children. Isolations: Hib (n = 6), Hi serotype a (n = 2), NTHi (n = 5); 1 case was not typified. Median age: 8.5 months (IQR: 421). Manifestations: meningitis (n = 5), pneumonia (n = 6), cellulitis (n = 2), arthritis (n = 1). Incomplete Hib immunization was observed in 9 children. Invasive Hi disease increased 2.5 times from previous years. These data suggest the reemergence of Hib due to a decline in vaccination coverage and an increase in other non-b-type Hi serotypes.
Subject(s)
Humans , Infant , Child, Preschool , Child , COVID-19/epidemiology , Haemophilus Infections/epidemiology , Haemophilus influenzae , Incidence , Disease Outbreaks , PandemicsABSTRACT
En ese sentido, el estudio de carga de enfermedad en el Perú del 2019 nos presenta las principales enfermedades y lesiones que han aportado mayor número de años de vida saludables perdidos en el país, reconociendo no solo aquellas que producen muerte prematura, sino también discapacidad. De esta manera, podemos disponer de información valiosa para la toma de decisiones en salud pública y dirigir las acciones hacia un mayor beneficio para la población de nuestro país. Los años de vida ajustados por discapacidad -AVISA- estiman la carga de la enfermedad, de acuerdo a las distintas causas o problemas de salud consideradas. Un AVISA corresponde a un año de vida sana perdido y la medición de la carga de enfermedad por este indicador significaría la brecha existente entre la situación actual de salud de una población y la ideal en la que cada miembro de esa población podría alcanzar la vejez libre de enfermedad y discapacidad.
Subject(s)
Disease , Epidemiology , Disease Outbreaks , Data Interpretation, Statistical , Cost of Illness , Disability EvaluationABSTRACT
Introduction: It has been shown that the transmission of SARS-CoV-2 occurs mainly by air, and the risk of infection is greater in closed spaces. Objective: To describe the epidemiology, virology and molecular characterization of a COVID-19 outbreak at a closed vaccination point during the third wave of SARS-CoV-2 in Colombia. Materials and methods: Diagnostic tests, interviews, sampling, cell cultures and viral sequencing were carried out, the latter being molecular characterization and lineage identification. Results: Seven workers were positive for SARS-CoV-2; among these, 3 samples were analyzed, plus an additional sample belonging to the mother of the presumed index case; all samples were identified with lineage B.1.625, with a maximum of 2 nucleotides difference between them. Conclusions: Variant B.1.625 was identified as the cause of the COVID-19 outbreak, and a co-worker was also identified as the index case. Unexpectedly, attending a vaccination day became a risk factor for acquiring the infection.
Introducción. Se ha demostrado que la transmisión de SARS-CoV-2 se produce principalmente por vía aérea y el riesgo de infección es mayor en espacios cerrados con alta concentración de personas; este último factor se presentó en algunos de los puestos de vacunación de la ciudad de Medellín. Objetivo. Describir la epidemiología, virología y caracterización molecular de un brote de COVID-19 en un punto de vacunación cerrado durante la tercera ola de SARS-CoV-2 en Colombia. Materiales y métodos. Se realizaron test diagnósticos, entrevistas, toma de muestras, aislamiento viral y secuenciación genómica. Con esta última, se hizo la caracterización molecular y se identificó el linaje. Resultados. Siete trabajadores fueron positivos para SARS-CoV-2, y de estos, tres muestras fueron secuenciadas, más una muestra adicional perteneciente a la madre del presunto caso índice. Todas las muestras fueron identificadas con el linaje B.1.625, con un máximo de dos nucleótidos de diferencia entre ellas. Conclusiones. Se identificó la variante B.1.625 como la causante del brote de COVID-19, y también un compañero de trabajo fue identificado como el caso índice. De forma imprevista, asistir a una jornada de vacunación se convirtió en un factor de riesgo para adquirir la infección.
Subject(s)
Disease Outbreaks , SARS-CoV-2 , Vaccination , Colombia , COVID-19ABSTRACT
BACKGROUND: The prevention and control of SARS-CoV-2 infection in hemodialysis (HD) units is challenging. AIM: To describe the clinical characteristics and outcome of patients with chronic kidney disease (CKD) on HD with COVID-19, between March 2020 and January 28, 2021, attending a single HD unit in Bogotá, Colombia. MATERIAL AND METHODS: In this prospective observational study, incidence, prevalence, and case-fatality rate were estimated, including screening results with RT-PCR and anti-SARS-CoV-2 IgG and IgM antibodies in all patients and health personnel in the HD unit. RESULTS: Among patients and health workers, 55 and 9 cases of COVID-19 were identified, respectively. The median age of patients was 63 years (84% males). Fifty five percent of patients were symptomatic, with fever, cough and/or myalgia. The most common comorbidities were hypertension, type 2 diabetes mellitus, and coronary heart disease. The cumulative incidence of infection was 30.2%, population seroprevalence was 24.9%, and fatality was 9.1%. CONCLUSIONS: The incidence of SARS-CoV-2 infection in this HD unit was high. Strict biosafety protocols are required to prevent outbreaks.
INTRODUCCIÓN: La prevención y el control de la infección por SARS-CoV-2 en las unidades de hemodiálisis (HD) es un desafío. OBJETIVO: Describir las características clínicas y la evolución de los pacientes con enfermedad renal crónica (ERC) en HD con COVID-19, entre marzo de 2020 y el 28 de enero de 2021, que acudieron a una unidad de HD en Bogotá, Colombia. MATERIAL Y MÉTODOS: Estudio observacional prospectivo con estimación de incidencia, prevalencia y letalidad, incluyendo los resultados del cribado con RT-PCR y anticuerpos IgG e IgM anti-SARS-CoV-2 en todos los pacientes y personal sanitario de la unidad de HD. RESULTADOS: Se identificaron 55 casos de pacientes en HD y 9 casos de trabajadores de salud con COVID-19. La mediana de edad de los pacientes fue de 63 años y 84% eran hombres. Cincuenta y cinco por ciento de los pacientes eran sintomáticos, con fiebre, tos y/o mialgia. Las comorbilidades más frecuentes fueron hipertensión arterial, diabetes mellitus tipo 2 y enfermedad coronaria. La incidencia acumulada de infección fue del 30,2%, la seroprevalencia poblacional del 24,9% y la letalidad del 9,1%. CONCLUSIONES: La incidencia de infección por SARS-CoV-2 en esta unidad de HD fue alta. Se requieren de protocolos estrictos de bioseguridad para evitar brotes.
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Renal Dialysis/methods , COVID-19/prevention & control , COVID-19/epidemiology , Seroepidemiologic Studies , Disease Outbreaks , Prospective Studies , Diabetes Mellitus, Type 2 , SARS-CoV-2ABSTRACT
Objective: To grasp the epidemiological characteristics of influenza outbreaks in Guangdong Province by analyzing the outbreaks of influenza-like cases reported in Guangdong Province from January 2015 to the end of August 2022. Methods: In response to the outbreak of epidemics in Guangdong Province from 2015 to 2022, information on on-site epidemic control was collected, and epidemiological analysis was conducted to describe the characteristics of the epidemics. The factors that influence the intensity and duration of the outbreak were determined through a logistic regression model. Results: A total of 1 901 influenza outbreaks were reported in Guangdong Province, with an overall incidence of 2.05%. Most outbreak reports occurred from November to January of the following year (50.24%, 955/1 901) and from April to June (29.88%, 568/1 901). A total of 59.23% (1 126/1 901) of the outbreaks were reported in the Pearl River Delta region, and primary and secondary schools were the main places where outbreaks occurred (88.01%, 1 673/1 901). Outbreaks with 10-29 cases were the most common (66.18%, 1 258/1 901), and most outbreaks lasted less than seven days (50.93%,906/1 779). The size of the outbreak was related to the nursery school (aOR=0.38, 95%CI:0.15-0.93), the Pearl River Delta region (aOR=0.60, 95%CI:0.44-0.83), the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=3.01, 95%CI:1.84-4.90), the influenza A(H1N1) (aOR=2.02, 95%CI:1.15-3.55) and the influenza B (Yamagata) (aOR=2.94, 95%CI: 1.50-5.76). The duration of outbreaks was related to school closures (aOR=0.65, 95%CI: 0.47-0.89), the Pearl River Delta region (aOR=0.65, 95%CI: 0.50-0.83) and the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=13.33, 95%CI: 8.80-20.19; 4-7 days compared with ≤3 days: aOR=2.56, 95%CI: 1.81-3.61). Conclusions: An influenza outbreak in Guangdong Province exhibits two peaks, one in the winter and spring seasons and the other in the summer. Primary and secondary schools are high-risk areas, and early reporting of outbreaks is critical for controlling influenza outbreaks in schools. Furthermore, comprehensive measures should be taken to prevent the spread of the epidemic.
Subject(s)
Humans , Influenza A Virus, H1N1 Subtype , Influenza, Human/epidemiology , Disease Outbreaks , Epidemics , China/epidemiologyABSTRACT
Objective: To analyze the epidemiological characteristics of norovirus-caused acute gastroenteritis outbreaks in China, identify the factors influencing the scale of outbreaks, and provide scientific evidences for early control of norovirus infection outbreaks. Methods: The descriptive epidemiological analysis approach was applied to analyze the incidence of national norovirus infection outbreaks by using the data from the Public Health Emergency Event Surveillance System in China from January 1, 2007 to December 31, 2021. The unconditional logistic regression model was applied to analyze the risk factors that affected the outbreaks' scale. Results: A total of 1 725 norovirus infection outbreaks were recorded in China from 2007 to 2021, with an upward trend in the number of the reported outbreaks. The southern provinces had their annual outbreak peaks from October to March; the northern provinces had two outbreak peaks from October to December and from March to June annually. The outbreaks occurred mainly in southeastern coastal provinces with a trend of gradual spread to central, northeastern and western provinces. The outbreaks mainly occurred in schools and childcare setting (1 539 cases, 89.22%), followed by enterprises and institutions (67 cases, 3.88%) and community households (55 cases, 3.19%). Human to human transmission was the main infection route (73.16%), and norovirus GⅡ genotype was the predominate pathogen causing the outbreaks (899 cases, 81.58%). The time interval between the onset of the primary case and the outbreak reporting M (Q1, Q3) was 3 (2, 6) days and the case number of the outbreak M (Q1, Q3) was 38 (28, 62). The timeliness of outbreak reporting was improved in recent years and the scale of the outbreaks showed a decreasing trend over the years, the differences in reporting timeliness and outbreak scale among different settings were significant (P<0.001). The factors that affected outbreaks' scale included the outbreak setting, transmission route, outbreak reporting timeliness and type of living areas (P<0.05). Conclusions: From 2007 to 2021, the number of the norovirus-caused acute gastroenteritis outbreaks increased in China and the more areas were affected. However, the outbreak scale showed a decreasing trend and the outbreak reporting timeliness was improved. It is important to further improve the surveillance sensitivity and reporting timeliness for the effective control of the outbreak scale.
Subject(s)
Humans , Child , Norovirus , Disease Outbreaks , China , Child Care , GastroenteritisABSTRACT
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.
Subject(s)
Humans , Population Surveillance/methods , Communicable Diseases/epidemiology , Communicable Diseases, Emerging/prevention & control , China/epidemiology , Pandemics , Disease Outbreaks/prevention & controlABSTRACT
An epidemiological investigation was conducted on a cluster epidemic of COVID-19 in the vaccinated population in Beijing in 2022, and serum samples were collected from 21 infected cases and 61 close contacts (including 20 cases with positive nucleic acid in the isolation observation period). The results of antibody detection showed that the IgM antibody of two infected persons was positive, and the IgG antibody positive rates of patients who were converted, not converted to positive and infected persons were 36.84% (7/19), 63.41% (26/41) and 71.43% (15/21), respectively. About 98.78% of patients had been vaccinated with the SARS-CoV-2 inactivated vaccine. The positive rate of IgG antibody in patients immunized with three doses of vaccine was 86.00% (43/50), which was higher than that in patients with one or two doses [16.12% (5/31)]. The antibody level of M (Q1, Q3) in patients immunized with three doses was 4.255 (2.303, 7.0375), which was higher than that in patients with one or two doses [0.500 (0.500, 0.500)] (all P values<0.001). The antibody level of patients who were vaccinated less than three months [7.335 (1.909, 7.858)] was higher than that of patients vaccinated more than three months after the last vaccination [2.125 (0.500, 4.418)] (P=0.007). The positive rate and level of IgG antibody in patients who were converted to positive after three doses were 77.78% (7/9) and 4.207 (2.216, 7.099), respectively, which were higher than those in patients who were converted after one or two doses [0 and 0.500 (0.500, 0.500)] (all P values<0.05).
Subject(s)
Humans , COVID-19 , SARS-CoV-2 , Disease Outbreaks , COVID-19 Vaccines , Immunoglobulin G , Antibodies, ViralABSTRACT
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.
Subject(s)
Humans , Aged , Middle Aged , COVID-19/prevention & control , SARS-CoV-2 , Pandemics/prevention & control , China/epidemiology , Disease Outbreaks/prevention & control , VaccinationABSTRACT
At the end of 2022, the World Health Organization reported an increase in group A Streptococcus (GAS) infections, such as scarlet fever, in multiple countries. The outbreak primarily affected children under 10 years old, and the number of deaths was higher than anticipated, causing international concern. This paper reviews the current state of the GAS disease outbreak, its causes, and response measures. The authors aim to draw attention from clinical workers in China and increase their awareness and vigilance regarding this epidemic. Healthcare workers should be aware of the potential epidemiological changes in infectious diseases that may arise after the optimization of control measures for coronavirus disease 2019 to ensure children's health.
Subject(s)
Child , Humans , Streptococcus pyogenes , COVID-19/epidemiology , Streptococcal Infections/epidemiology , Scarlet Fever/epidemiology , Epidemics , Disease OutbreaksABSTRACT
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
Subject(s)
Humans , Hemorrhagic Fever, Ebola/prevention & control , Epidemics , Disease Outbreaks/prevention & control , Guinea/epidemiology , Sierra Leone/epidemiology , China/epidemiologyABSTRACT
OBJECTIVE@#To clarify the epidemiological characteristics and spatial distribution patterns of human norovirus outbreaks in China, identify high-risk areas, and provide guidance for epidemic prevention and control.@*METHODS@#This study analyzed 964 human norovirus outbreaks involving 50,548 cases in 26 provinces reported from 2012 to 2018. Epidemiological analysis and spatiotemporal scanning analysis were conducted to analyze the distribution of norovirus outbreaks in China.@*RESULTS@#The outbreaks showed typical seasonality, with more outbreaks in winter and fewer in summer, and the total number of infected cases increased over time. Schools, especially middle schools and primary schools, are the most common settings of norovirus outbreaks, with the major transmission route being life contact. More outbreaks occurred in southeast coastal areas in China and showed significant spatial aggregation. The highly clustered areas of norovirus outbreaks have expanded northeast over time.@*CONCLUSION@#By identifying the epidemiological characteristics and high-risk areas of norovirus outbreaks, this study provides important scientific support for the development of preventive and control measures for norovirus outbreaks, which is conducive to the administrative management of high-risk settings and reduction of disease burden in susceptible areas.
Subject(s)
Humans , Gastroenteritis/epidemiology , Norovirus , Caliciviridae Infections/epidemiology , Disease Outbreaks , China/epidemiology , GenotypeABSTRACT
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.
Subject(s)
Infant , Humans , Whooping Cough/prevention & control , Vaccination , Pertussis Vaccine/therapeutic use , Bordetella pertussis , Disease OutbreaksABSTRACT
Monkeypox is a zoonosis caused by monkeypox virus. Monkeypox was endemic mainly in central and western Africa in the past. Since May 7, 2022, monkeypox outbreaks have been reported in many non-epidemic countries and regions around the world. As of December 25, 2022, monkeypox cases have been detected in 110 countries and areas. Moreover, human to human transmission, especially among men who have sex with men, has aroused high global concern. The incidence, transmission route and clinical characteristics of monkeypox in 2022 seemed different from those in the past. Therefore, this paper summarizes the progress in research of the changes of epidemiological characteristics of monkeypox, the clinical characteristics of monkeypox and its prevention and treatment to provide scientific evidence for the prevention and control of monkeypox.
Subject(s)
Male , Animals , Humans , Monkeypox/epidemiology , Homosexuality, Male , Sexual and Gender Minorities , Zoonoses , Disease OutbreaksABSTRACT
Objective: To explore the epidemiological characteristic of a COVID-19 outbreak caused by 2019-nCoV Omicron variant BF.7 and other provinces imported in Shenzhen and analyze transmission chains and characteristics. Methods: Field epidemiological survey was conducted to identify the transmission chain, analyze the generation relationship among the cases. The 2019-nCoV nucleic acid positive samples were used for gene sequencing. Results: From 8 to 23 October, 2022, a total of 196 cases of COVID-19 were reported in Shenzhen, all the cases had epidemiological links. In the cases, 100 were men and 96 were women, with a median of age, M (Q1, Q3) was 33(25, 46) years. The outbreak was caused by traverlers initial cases infected with 2019-nCoV who returned to Shenzhen after traveling outside of Guangdong Province.There were four transmission chains, including the transmission in place of residence and neighbourhood, affecting 8 persons, transmission in social activity in the evening on 7 October, affecting 65 persons, transmission in work place on 8 October, affecting 48 persons, and transmission in a building near the work place, affecting 74 persons. The median of the incubation period of the infection, M (Q1, Q3) was 1.44 (1.11, 2.17) days. The incubation period of indoor exposure less than that of the outdoor exposure, M (Q1, Q3) was 1.38 (1.06, 1.84) and 1.95 (1.22, 2.99) days, respcetively (Wald χ2=10.27, P=0.001). With the increase of case generation, the number and probability of gene mutation increased. In the same transmission chain, the proportion of having 1-3 mutation sites was high in the cases in the first generation. Conclusions: The transmission chains were clear in this epidemic. The incubation period of Omicron variant BF.7 infection was shorter, the transmission speed was faster, and the gene mutation rate was higher. It is necessary to conduct prompt response and strict disease control when epidemic occurs.
Subject(s)
Male , Humans , Female , SARS-CoV-2 , COVID-19/epidemiology , Disease Outbreaks , Epidemics , China/epidemiologyABSTRACT
Objective: To investigate the infection sources and the transmission chains of three outbreaks caused by 2019-nCoV Omicron variant possibly spread through cross-border logistics in Beijing. Methods: Epidemiological investigation and big data were used to identify the exposure points of the cases. Close contacts were traced from the exposure points, and the cases' and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: The Omicron variant causing 3 outbreaks in Beijing from January to April, 2022 belonged to BA.1, BA.1.1 and BA.2. The outbreaks lasted for 8, 12 and 8 days respectively, and 6, 42 and 32 cases infected with 2019-nCoV were reported respectively. International mail might be the infection source for 1 outbreak, and imported clothes might be the infection sources for another 2 outbreaks. The interval between the shipment start time of the imported goods and the infection time of the index case was 3-4 days. The mean incubation period (Q1, Q3) was 3 (2,4) days and the mean serial interval (Q1, Q3) was 3 (2,4)days. Conclusions: The 3 outbreaks highlighted the risk of infection by Omicron variant from international logistics-related imported goods at normal temperature. Omicron variant has stronger transmissibility, indicating that rapid epidemiological investigation and strict management are needed.