Pathogen Spectrum of Hand,Foot,and Mouth Disease Based on Laboratory Surveillance—China,2018

What is already known about this topic?Enterovirus 71(EV-A71)is the main causative pathogen for severe and fatal patients with Hand,Foot,and Mouth Disease(HFMD)in China's Mainland from 2008 to 2017.Non-EV-A71 and non-CV-A16(other enterovirus)serotypes were the major causativeserotypes for mild HFMD in years of 2013,2015,and 2017.What is added by this report?In 2018,other enterovirus serotypes replaced EV-A71 for the first time as the major cause of severe HFMD with a proportion of 70.7%.However,at the national level,only a small proportion of the other enterovirus serotypes were further identified as CV-A6 and CVA10.What are the limitations for public health practice?Further identification of other enterovirus serotypes is highly recommended for provincial CDCs,especially for severe HFMD.Studies contributing to a multivalent vaccine for HFMD should be prioritized.

Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics:a model-based study

Background:The continuous mutation of severe acute respiratory syndrome coronavirus 2 has made the coronavirus disease 2019(COVID-19)pandemic complicated to predict and posed a severe challenge to the Beijing 2022Winter Olympics and Winter Paralympics held in February and March 2022.Methods:During the preparations for the Beijing 2022 Winter Olympics,we established a dynamic model with pulsedetection and isolation efect to evaluate the efect of epidemic prevention and control measures such as entry policies,contact reduction,nucleic acid testing,tracking,isolation,and health monitoring in a closed-loop managementenvironment,by simulating the transmission dynamics in assumed scenarios.We also compared the importance ofeach parameter in the combination of intervention measures through sensitivity analysis.Results:At the assumed baseline levels,the peak of the epidemic reached on the 57th day.During the simulationperiod(100 days),13,382 people infected COVID-19.The mean and peak values of hospitalized cases were 2650and 6746,respectively.The simulation and sensitivity analysis showed that:(1)the most important measures to stopCOVID-19 transmission during the event were daily nucleic acid testing,reducing contact among people,and dailyhealth monitoring,with cumulative infections at 0.04%,0.14%,and 14.92%of baseline levels,respectively(2)strictlyimplementing the entry policy and reducing the number of cases entering the closed-loop system could delay thepeak of the epidemic by 9 days and provide time for medical resources to be mobilized;(3)the risk of environmentaltransmission was low.Conclusions:Comprehensive measures under certain scenarios such as reducing contact,nucleic acid testing,health monitoring,and timely tracking and isolation could efectively prevent virus transmission.Our research resultsprovided an important reference for formulating prevention and control measures during the Winter Olympics,andno epidemic spread in the closed-loop during the games indirectly proved the rationality of our research results.

Interpretation of the Protocol for Prevention and Control of COVID-19 in China(Edition 8)

BACKGROUND Since the release of Protocol for Prevention and Control of COVID-19(Edition 7),coronavirus disease 2019(COVID-19)control and prevention has been facing new challenges in China with evolving domestic and global epidemiological situations.Since September 2020,China has experienced more than 20 local outbreak waves,all of which were able to be contained within a few weeks.

Interpretation of the Protocol for Prevention and Control of COVID-19 in China (Edition 7)

After coronavirus disease 2019(COVID-19),previously known as pneumonia of unknown etiology(PUE)and 2019 novel coronavirus(2019-nCoV),was first discovered in Wuhan City,Hubei Province,the Chinese government took measures to stop the spread of the epidemic nationwide and interrupted local transmission in China(1–2).Although there have been several localized outbreaks that were caused by overseas importation of the virus—including Heilongjiang,Jilin,Beijing,Liaoning,and other provincial-level administrative divisions(PLADs)—these outbreaks have been stopped within two to four weeks and were limited in scope to less than ten cases or a few hundred cases for each event.With the COVID-19 pandemic still uncontrolled globally,the threat of importing the virus continues unabated and still threatens China’s population,virtually all of which is susceptible.

Compartmental structures used in modeling COVID-19: a scoping review

Background: The coronavirus disease 2019(COVID-19)epidemic,considered as the worst global public health event in nearly a century,has severely affected more than 200 countries and regions around the world.To effectively prevent and control the epidemic,researchers have widely employed dynamic models to predict and simulate the epidemic’s development,understand the spread rule,evaluate the effects of intervention measures,inform vaccination strategies,and assist in the formulation of prevention and control measures.In this review,we aimed to sort out the compartmental structures used in COVID-19 dynamic models and provide reference for the dynamic modeling for COVID-19 and other infectious diseases in the future.Main text: A scoping review on the compartmental structures used in modeling COVID-19 was conducted.In this scoping review,241 research articles published before May 14,2021 were analyzed to better understand the model types and compartmental structures used in modeling COVID-19.Three types of dynamics models were analyzed:compartment models expanded based on susceptible-exposed-infected-recovered(SEIR)model,meta-population models,and agent-based models.The expanded compartments based on SEIR model are mainly according to the COVID-19 transmission characteristics,public health interventions,and age structure.The meta-population models and the agent-based models,as a trade-off for more complex model structures,basic susceptible-exposed-infected-recovered or simply expanded compartmental structures were generally adopted.Conclusion: There has been a great deal of models to understand the spread of COVID-19,and to help prevention and control strategies.Researchers build compartments according to actual situation,research objectives and complexity of models used.As the COVID-19 epidemic remains uncertain and poses a major challenge to humans,researchers still need dynamic models as the main tool to predict dynamics,evaluate intervention effects,and provide scientific evidence for the development of prevention and control strategies.The compartmental structures reviewed in this study provide guidance for future modeling for COVID-19,and also offer recommendations for the dynamic modeling of other infectious diseases.

First Outbreak of Occupational Brucellosis Involving Multiple Clusters--Hubei Province,China,2019

What is already known on this topic?Human brucellosis,a neglected zoonotic disease,causes more than 500,000 new cases each year globally.The disease is of major public health concern in China,and northern provinces are traditionally endemic areas.What is added by this report?This is the first published outbreak of occupational brucellosis involving multiple clusters in Hubei Province.This investigation characterizes the transmission chain of the outbreak and reveals that provinces south of the Yangtze River are faced with a series of challenges and hurdles to overcome including,but not limited to,health education,law enforcement,and occupational protection.What are the implications for public health practice?In addition to measures aimed at this outbreak,the local agricultural department has issued special notices based on this investigation to adjust and strengthen local eradication program of brucellosis.