scholarly journals The Morbidity Analysis of 17 Notifiable Bacterial Infectious Diseases in China, 2004-2019

2021 ◽  
Author(s):  
yuliang zhu ◽  
Shenghong Lin ◽  
Shuaibing Dong ◽  
Cuihong Zhang ◽  
Lusha Shi ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Scientific Evidence ◽  
Northwest China ◽  
Incidence Rates ◽  
Control Measures ◽  
Laboratory Confirmation ◽  
Epidemic Dynamic ◽  
Prevention And Control Measures ◽  
And Control ◽  
Increasing Trends

Abstract Background To better understand the epidemic dynamic of notifiable BIDs in China, and to provide scientific evidence for the prevention and control measures. Methods we gathered data from the NIDRIS in China from 2004 to 2019. The methods of descriptive epidemiology were applied to analyze the data of BIDs. The Joinpoint Regression analysis was utilized to examine trends in the incidence rates of BIDs. Results During 2004‒2019, the average annual incidence rate reported for notifiable BIDs was 134.00 of 100 000. The overall average annual percent changes (AAPC) for RTDs and DCFTDs was -1.98% and -11.66%, respectively. Both of BSTDs and ZVDs showed increasing trends with AAPCs of 4.74% and 4.46%, respectively. Pertussis and scarlet fever showed the fastest increase of the incidence rate in the age group of 0~5 years with AAPC of 15.17% and 12.05%. RTDs had the highest incidence rate in Northwest China. South and East China represented a higher morbidity in BSTDs. The proportion of laboratory confirmation of BIDs have increased from 43.80–64.04%. Conclusions RTDs and DCFTDs showed an overall downward trend in China for a dozen years, while BSTDs and ZVDs indicated significantly upward trends.

scholarly journals A Descriptive Review of Selected Nonviral Enteric Illnesses Reported in Children in Quebec between 1999 and 2006

2010 ◽  
Vol 21 (2) ◽  
pp. e92-e98 ◽  
Author(s):  
Henri Kaboré ◽  
Pascal Michel ◽  
Patrick Levallois ◽  
Pierre Déry ◽  
Pierre Payment ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Late Summer ◽  
Incidence Rates ◽  
Control Measures ◽  
Common Causes ◽  
Prevention And Control Measures ◽  
One Year ◽  
And Control ◽  
Different Sources ◽  
Geographical Characteristics

OBJECTIVE: To review the epidemiology of selected nonviral enteric illnesses reported in children in Quebec between 1999 and 2006.METHODS: Incidence rates were calculated to describe age, sex, temporal and geographical characteristics of the selected nonviral enteric cases reported in children who were between zero and four years of age. Standard descriptive methods were used to analyze the temporal and geographical distributions of the incidence rates.RESULTS: A total of 5068 cases were reported. Of these, three pathogens accounted for the majority of the infections:Giardia(32.52%),Salmonella(30.98%) andCampylobacter(30.82%).Salmonellawas most frequent in children younger than one year of age, whereas comparable incidence rates for the three pathogens were calculated for children between one and four years of age. ForGiardia, the geographical distributions showed that the highest rates were in areas with more than 100,000 inhabitants (except Montreal, Quebec); forSalmonella, the highest rates were in Montreal; and forCampylobacter,the highest rates were in areas with fewer than 10,000 inhabitants. No detectable trends were seen over the study period for the three pathogens. Seasonal summer peaks were noted forSalmonellaandCampylobacter, contrasting with late summer to early autumn peaks forGiardia.CONCLUSION: Findings suggest thatGiardia,SalmonellaandCampylobacterwere the most common causes of nonviral enteric illnesses reported in children in Quebec.Giardiacases seemed to arise from different sources and transmission routes than the other two pathogens. Characteristics specific toCampylobacterinfections in children, namely its predominance in areas with low population densities, and toSalmonellainfections, namely predominance in the Greater Montreal area, should be further investigated to better guide prevention and control measures.

scholarly journals Estimating the Transmissibility of Mumps: A Modelling Study in Wuhan City, China

2021 ◽  
Vol 8 ◽  
Author(s):  
Ying Peng ◽  
Tianlong Yang ◽  
Yuanzhao Zhu ◽  
Qingqing Hu ◽  
Yao Wang ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Transmission Capacity ◽  
Control Measures ◽  
Peak Time ◽  
Peak Incidence ◽  
Incidence Data ◽  
National Immunization ◽  
Prevention And Control Measures ◽  
And Control ◽  
Epidemiological Characteristics

Despite the adoption of a national immunization program in China, the incidence of mumps remains high. This study aimed to describe the epidemiological characteristics, including the time, region, occupation, and age, of mumps in Wuhan from 2005 to 2018 and to evaluate its transmissibility. In this study, the susceptible–exposed–infectious–asymptomatic–recovered (SEIAR) model fitted the actual incidence data of mumps. The effective reproduction number (Rt) was used to evaluate and compare the transmission capacity in different areas. From 2005 to 2018, there were 36,415 cases. The incidence of mumps was highest among people aged 5–10 years (460.02 per 100,000). The SEIAR model fitted the reported mumps data well (P < 0.01). The median transmissibility (Rt) was 1.04 (range = 0–2.50). There were two peak spreads every year (from March to May and from October to December). The Rt peak always appeared in the first 2 months of the peak incidence rate. The peak time of the epidemic spread of mumps was 1–2 months earlier than the peak incidence rate. The prevention and control measures of vaccination for children aged 5–10 years should be taken before the peak transmission capacity each year, 2 months before the peak of the outbreak, to reduce the spread of mumps.

scholarly journals Changing geographic patterns and risk factors for avian influenza A(H7N9) infection in China

2017 ◽  
Author(s):  
Jean Artois ◽  
Xiling Wang ◽  
Hui Jiang ◽  
Ying Qin ◽  
Morgan Pearcy ◽  
...  
Keyword(s):  
Avian Influenza ◽  
Range Expansion ◽  
Influenza A ◽  
Northern China ◽  
Incidence Rates ◽  
Control Measures ◽  
Live Poultry ◽  
H7n9 Infection ◽  
Prevention And Control Measures ◽  
And Control

AbstractThe 5th epidemic wave in 2016-2017 of avian influenza A(H7N9) virus in China caused more human cases than any previous waves but the factors that may explain the recent range expansion and surge in incidence remain unknown. We investigated the effect of anthropogenic, poultry and wetland information and of market closures on all epidemic waves (1-5). Poultry predictor variables recently became much more important than before, supporting the assumption of much wider H7N9 transmission in the chicken reservoir, that could be linked to increases in pathogenicity. We show that the future range expansion of H7N9 to northern China may translate into a higher risk of coinciding peaks with those of seasonal influenza, leading to a higher risk of reassortments. Live-poultry market closures are showed to be effective in reducing the local incidence rates of H7N9 human cases, but should be paired with other prevention and control measures to prevent transmission.

Knowledge and Awareness of Dengue Fever

2018 ◽  
pp. 219-222
Author(s):  
Y. Arockia Suganthi ◽  
Chitra K. ◽  
J. Magelin Mary
Keyword(s):  
Dengue Fever ◽  
Prevention And Control ◽  
Control Measures ◽  
Infection Transmission ◽  
Standard Guideline ◽  
The World ◽  
Different Types ◽  
Prevention And Control Measures ◽  
Dengue Prevention ◽  
And Control

Dengue fever is a painful mosquito-borne infection caused by different types of virus in various localities of the world. There is no particular medicine or vaccine to treat person suffering from dengue fever. Dengue viruses are transmitted by the bite of female Aedes (Ae) mosquitoes. Dengue fever viruses are mainly transmitted by Aedes which can be active in tropical or subtropical climates. Aedes Aegypti is the key step to avoid infection transmission to save millions of people in all over the world. This paper provides a standard guideline in the planning of dengue prevention and control measures. At the same time gives the priorities including clinical management and hospitalized dengue patients have to address essentially.

An evaluation model of 2019-nCoV prevention effectiveness based on immigration data in China (Preprint)

2020 ◽  
Author(s):  
Qiangsheng Huang
Keyword(s):  
Prevention And Control ◽  
Time Window ◽  
Evaluation Model ◽  
Control Measures ◽  
Related Data ◽  
The Face ◽  
Prevention And Control Measures ◽  
And Control ◽  
Best Fit

BACKGROUND As of the end of February 2020, 2019-nCoV is currently well controlled in China. However, the virus is now spreading globally. OBJECTIVE This study aimed to evaluate the effectiveness of outbreak prevention and control measures in a region. METHODS A model is built for find the best fit for two sets of data (the number of daily new diagnosed, and the risk value of incoming immigration population). The parameters (offset and time window) in the model can be used as the evaluation of effectiveness of outbreak prevention and control. RESULTS Through study, it is found that the parameter offset and time window in the model can accurately reflect the prevention effectiveness. Some related data and public news confirm this result. And this method has advantages over the method using R0 in two aspects. CONCLUSIONS If the epidemic situation is well controlled, the virus is not terrible. Now the daily new diagnosed patients in most regions of China is quickly reduced to zero or close to zero. Chinese can do a good job in the face of huge epidemic pressure. Therefore, if other countries can do well in prevention and control, the epidemic in those places can also pass quickly.

Extremes of Temperature

2017 ◽  
Author(s):  
Ann M. Krake
Keyword(s):  
Control Measures ◽  
Temperature Extremes ◽  
Physiological Effects ◽  
Assessment And Evaluation ◽  
The Public ◽  
Adverse Health Effects ◽  
Extreme Cold ◽  
Prevention And Control Measures ◽  
And Control ◽  
Extremes Of Temperature

This chapter covers extremes of temperature conditions, physiological effects, and prevention. All deaths caused by exposure to hot and cold temperature extremes are preventable when proper measures are taken. Described in this chapter are the effects of extreme heat and extreme cold on the health of members of the public, particularly older people and young people, and workers employed in various workplace settings. The differences between heat stress and heat strain are also discussed, as are various regulations governing exposure to temperature extremes. The nature and magnitude of heat- and cold-related conditions and symptoms are described in detail. Final sections of the chapter address various assessment and evaluation tools as well as prevention and control measures. In addition, an appendix describes the hazards related to hyperbaric and hypobaric environments and adverse health effects.

scholarly journals A Legionnaires’ Disease Cluster in a Private Building in Italy

2021 ◽  
Vol 18 (13) ◽  
pp. 6922
Author(s):  
Maria Luisa Ricci ◽  
Maria Cristina Rota ◽  
Maria Grazia Caporali ◽  
Antonietta Girolamo ◽  
Maria Scaturro
Keyword(s):  
Severe Pneumonia ◽  
Control Measures ◽  
Health Concern ◽  
Human Consumption ◽  
Domestic Water ◽  
Quality Of Water ◽  
Legionnaires Disease ◽  
Prevention And Control Measures ◽  
Private Homes ◽  
And Control

Legionnaires’ disease (LD) is a severe pneumonia caused by bacteria belonging to the genus Legionella. This is a major public health concern and infections are steadily increasing worldwide. Several sources of infection have been identified, but they have not always been linked to human isolates by molecular match. The well-known Legionella contamination of private homes has rarely been associated with the acquisition of the disease, although some patients never left their homes during the incubation period. This study demonstrated by genomic matching between clinical and environmental Legionella isolates that the source of an LD cluster was a private building. Monoclonal antibodies and sequence-based typing were used to type the isolates, and the results clearly demonstrated the molecular relationship between the strains highlighting the risk of contracting LD at home. To contain this risk, the new European directive on the quality of water intended for human consumption has introduced for the first time Legionella as a microbiological parameter to be investigated in domestic water systems. This should lead to a greater attention to prevention and control measures for domestic Legionella contamination and, consequently, to a possible reduction in community acquired LD cases.

scholarly journals Etiological, epidemiological, and clinical features of acute diarrhea in China

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Li-Ping Wang ◽  
◽  
Shi-Xia Zhou ◽  
Xin Wang ◽  
Qing-Bin Lu ◽  
...  
Keyword(s):  
Clinical Features ◽  
Acute Diarrhea ◽  
Vibrio Parahaemolyticus ◽  
Bacterial Pathogens ◽  
Control Measures ◽  
Viral Pathogens ◽  
Rotavirus A ◽  
Positive Rate ◽  
Prevention And Control Measures ◽  
And Control

AbstractNational-based prospective surveillance of all-age patients with acute diarrhea was conducted in China between 2009‒2018. Here we report the etiological, epidemiological, and clinical features of the 152,792 eligible patients enrolled in this analysis. Rotavirus A and norovirus are the two leading viral pathogens detected in the patients, followed by adenovirus and astrovirus. Diarrheagenic Escherichia coli and nontyphoidal Salmonella are the two leading bacterial pathogens, followed by Shigella and Vibrio parahaemolyticus. Patients aged <5 years had higher overall positive rate of viral pathogens, while bacterial pathogens were more common in patients aged 18‒45 years. A joinpoint analysis revealed the age-specific positivity rate and how this varied for individual pathogens. Our findings fill crucial gaps of how the distributions of enteropathogens change across China in patients with diarrhea. This allows enhanced identification of the predominant diarrheal pathogen candidates for diagnosis in clinical practice and more targeted application of prevention and control measures.

scholarly journals Analysis and prediction of the coronavirus disease epidemic in China based on an individual-based model

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zuiyuan Guo ◽  
Dan Xiao
Keyword(s):  
Reproduction Number ◽  
Control Measures ◽  
Cumulative Number ◽  
Individual Based Model ◽  
Whole Process ◽  
Coordinate Descent Algorithm ◽  
Initial Stage ◽  
The Government ◽  
Prevention And Control Measures ◽  
And Control

AbstractWe established a stochastic individual-based model and simulated the whole process of occurrence, development, and control of the coronavirus disease epidemic and the infectors and patients leaving Hubei Province before the traffic was closed in China. Additionally, the basic reproduction number (R0) and number of infectors and patients who left Hubei were estimated using the coordinate descent algorithm. The median R0 at the initial stage of the epidemic was 4.97 (95% confidence interval [CI] 4.82–5.17). Before the traffic lockdown was implemented in Hubei, 2000 (95% CI 1982–2030) infectors and patients had left Hubei and traveled throughout the country. The model estimated that if the government had taken prevention and control measures 1 day later, the cumulative number of laboratory-confirmed patients in the whole country would have increased by 32.1%. If the lockdown of Hubei was imposed 1 day in advance, the cumulative number of laboratory-confirmed patients in other provinces would have decreased by 7.7%. The stochastic model could fit the officially issued data well and simulate the evolution process of the epidemic. The intervention measurements nationwide have effectively curbed the human-to-human transmission of severe acute respiratory syndrome coronavirus 2.

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