scholarly journals Epidemiological Characteristics and Regional Risk Prediction of Hemorrhagic Fever with Renal Syndrome in Shandong Province, China

2021 ◽  
Vol 18 (16) ◽  
pp. 8495
Author(s):  
Kaili She ◽  
Chunyu Li ◽  
Chang Qi ◽  
Tingxuan Liu ◽  
Yan Jia ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Characteristic Curve ◽  
Hemorrhagic Fever ◽  
Infection Risk ◽  
Shandong Province ◽  
Control Measures ◽  
High Risk Population ◽  
Boosted Regression Tree ◽  
Regional Risk ◽  
Epidemiological Characteristics

Background: Hemorrhagic fever with renal syndrome (HFRS), a rodent-borne disease caused by different species of hantaviruses, is widely endemic in China. Shandong Province is one of the most affected areas. This study aims to analyze the epidemiological characteristics of HFRS, and to predict the regional risk in Shandong Province. Methods: Descriptive statistics were used to elucidate the epidemiological characteristics of HFRS cases in Shandong Province from 2010 to 2018. Based on environmental and socioeconomic data, the boosted regression tree (BRT) model was applied to identify important influencing factors, as well as predict the infection risk zones of HFRS. Results: A total of 11,432 HFRS cases were reported from 2010 to 2018 in Shandong, with groups aged 31–70 years (81.04%), and farmers (84.44%) being the majority. Most cases were from central and southeast Shandong. There were two incidence peak periods in April to June and October to December, respectively. According to the BRT model, we found that population density (a relative contribution of 15.90%), elevation (12.02%), grassland (11.06%), cultivated land (9.98%), rural settlement (9.25%), woodland (8.71%), and water body (8.63%) were relatively important influencing factors for HFRS epidemics, and the predicted high infection risk areas were concentrated in central and eastern areas of Shandong Province. The BRT model provided an overall prediction accuracy, with an area under the receiver operating characteristic curve of 0.91 (range: 0.83–0.95). Conclusions: HFRS in Shandong Province has shown seasonal and spatial clustering characteristics. Middle-aged and elderly farmers are a high-risk population. The BRT model has satisfactory predictive capability in stratifying the regional risk of HFRS at a county level in Shandong Province, which could serve as an important tool for risk assessment of HFRS to deploy prevention and control measures.

scholarly journals Description of measles D4-Hamburg outbreak in Hamburg, Germany, December 2008 to June 2009, which disproportionally affected a local Roma community

2012 ◽  
Vol 17 (24) ◽  
Author(s):  
G Hegasy ◽  
K Kätzner ◽  
M Helle ◽  
A Mankertz ◽  
S Baumgarte ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Age Distribution ◽  
Control Measures ◽  
European Countries ◽  
Federal State ◽  
Age Group ◽  
Measles Outbreak ◽  
Stratified Analysis ◽  
Epidemiological Characteristics

From December 2008 to June 2009 a measles outbreak occurred in the Federal State of Hamburg, Germany. The outbreak affected 216 persons and was caused by a new measles strain termed D4-Hamburg which led to consecutive outbreaks between 2009 and 2011 in at least 12 European countries. Here, we describe epidemiological characteristics of the outbreak and evaluate the control measures taken in Hamburg. In one of the seven boroughs of Hamburg a local Roma community comprised more than 50% of the notified cases. We compared in a stratified analysis the age distribution of these cases with cases of fellow citizens who did not belong to the Roma community. The age group of infants (0-11 months) comprised 33% among the non-Roma measles cases, while in the Roma community only 4% belonged to this stratum. In the stratum of 5-17 year-olds only 8% were affected among the non-Roma cases, whereas in the Roma community 50% belonged to this age group. We discuss the influencing factors that might have led to this difference in age distribution between the two groups.

scholarly journals Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China

2020 ◽  
Vol 148 ◽  
Author(s):  
C. Qi ◽  
Y. C. Zhu ◽  
C. Y. Li ◽  
Y. C. Hu ◽  
L. L. Liu ◽  
...  
Keyword(s):  
Temporal Analysis ◽  
Shandong Province ◽  
Control Measures ◽  
Public Health Agencies ◽  
Health Agencies ◽  
Community Transmission ◽  
Prevention And Control Measures ◽  
And Control ◽  
Epidemiological Characteristics ◽  
Spatial Temporal Analysis

Abstract The pandemic of coronavirus disease 2019 (COVID-19) has posed serious challenges. It is vitally important to further clarify the epidemiological characteristics of the COVID-19 outbreak for future study and prevention and control measures. Epidemiological characteristics and spatial−temporal analysis were performed based on COVID-19 cases from 21 January 2020 to 1 March 2020 in Shandong Province, and close contacts were traced to construct transmission chains. A total of 758 laboratory-confirmed cases were reported in Shandong. The sex ratio was 1.27: 1 (M: F) and the median age was 42 (interquartile range: 32–55). The high-risk clusters were identified in the central, eastern and southern regions of Shandong from 25 January 2020 to 10 February 2020. We rebuilt 54 transmission chains involving 209 cases, of which 52.2% were family clusters, and three widespread infection chains were elaborated, occurring in Jining, Zaozhuang and Liaocheng, respectively. The geographical and temporal disparity may alert public health agencies to implement specific measures in regions with different risk, and should attach importance on how to avoid household and community transmission.

An Epidemiological Analysis of COVID-19 Confirmed Cases, Reported at National Institute of Health, Pakistan (Preprint)

2020 ◽  
Author(s):  
Ambreen Chaudhry
Keyword(s):  
Age Groups ◽  
Target Population ◽  
Control Measures ◽  
Contact Tracing ◽  
Bivariate Analysis ◽  
Travel History ◽  
Disease Epidemiology ◽  
Hygiene Practices ◽  
Multi Center Study ◽  
Epidemiological Characteristics

BACKGROUND Coronavirus disease (Covid-19) is a zoonotic disease of novel origin that posed a continuous threat to health worldwide after taking the shape of the pandemic. An understanding of disease epidemiology is supportive in timely preventive and control measures as well as contact tracing and curbing surveillance activities. OBJECTIVE The objective of our study was to determine the epidemiological characteristics of COVID-19 confirmed cases reported at the National Institute of Health Pakistan and elements of its spread in Pakistan. METHODS A retrospective record review was conducted at the National Institute of Health (NIH) Islamabad, Pakistan from January 25 to April 4, 2020. Univariate and bivariate analysis was done with 95% CI and p<0.05. RESULTS A total of 14,422 samples of suspected COVID-19 cases were received with a positivity rate of 9% (n=1348). Among all 70% (n=939) were male. The median age was 41years of age (range: 01-99Years). Among all, 19% were from 30-39 years old followed by 50-59 years old (17%). Children remained the least affected by 3% (n=35). Of the total reported cases, 55% (n=735) have reported the travel history within the last 14 days. Among these travelers’ international travelers were 23% (n=166) and domestic travelers were 77% (n=569). Travel history including both international and domestic remained significantly associated with the different age groups and Young adults remained more vulnerable to COVID-19 (P=0.03). Fever, SOB, and Cough remained the most significantly associated (P<0.05) in all age groups. CONCLUSIONS A higher incidence of COVID-19 among elderly men suggests robust quarantine measures for this target population. An escalating incidence of local transmission needs strict social distancing and hygiene practices to help flatten the curve. An extensive multi-center study is also recommended for a full understanding of disease dynamics.

scholarly journals Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jinlong Shi ◽  
Xing Gao ◽  
Shuyan Xue ◽  
Fengqing Li ◽  
Qifan Nie ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Temporal Evolution ◽  
Geographical Location ◽  
Shandong Province ◽  
Control Measures ◽  
Middle Aged ◽  
Health Crisis ◽  
Aged People ◽  
Spatio Temporal ◽  
And Control

AbstractThe novel coronavirus pneumonia (COVID-19) outbreak that emerged in late 2019 has posed a severe threat to human health and social and economic development, and thus has become a major public health crisis affecting the world. The spread of COVID-19 in population and regions is a typical geographical process, which is worth discussing from the geographical perspective. This paper focuses on Shandong province, which has a high incidence, though the first Chinese confirmed case was reported from Hubei province. Based on the data of reported confirmed cases and the detailed information of cases collected manually, we used text analysis, mathematical statistics and spatial analysis to reveal the demographic characteristics of confirmed cases and the spatio-temporal evolution process of the epidemic, and to explore the comprehensive mechanism of epidemic evolution and prevention and control. The results show that: (1) the incidence rate of COVID-19 in Shandong is 0.76/100,000. The majority of confirmed cases are old and middle-aged people who are infected by the intra-province diffusion, followed by young and middle-aged people who are infected outside the province. (2) Up to February 5, the number of daily confirmed cases shows a trend of “rapid increase before slowing down”, among which, the changes of age and gender are closely related to population migration, epidemic characteristics and intervention measures. (3) Affected by the regional economy and population, the spatial distribution of the confirmed cases is obviously unbalanced, with the cluster pattern of “high–low” and “low–high”. (4) The evolution of the migration pattern, affected by the geographical location of Wuhan and Chinese traditional culture, is dominated by “cross-provincial” and “intra-provincial” direct flow, and generally shows the trend of “southwest → northeast”. Finally, combined with the targeted countermeasures of “source-flow-sink”, the comprehensive mechanism of COVID-19 epidemic evolution and prevention and control in Shandong is revealed. External and internal prevention and control measures are also figured out.

scholarly journals Epidemiological Characteristics of Severe Fever with Thrombocytopenia Syndrome from 2010 to 2019 in Mainland China

2021 ◽  
Vol 18 (6) ◽  
pp. 3092
Author(s):  
Xiaoxia Huang ◽  
Jiandong Li ◽  
Aqian Li ◽  
Shiwen Wang ◽  
Dexin Li
Keyword(s):  
Statistical Significance ◽  
Regional Distribution ◽  
Mainland China ◽  
Deep Understanding ◽  
Scientific Data ◽  
High Risk Population ◽  
Middle Aged ◽  
Increasing Trend ◽  
Epidemiological Characteristics ◽  
Severe Fever

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that is a severe threat to public health considering its high fatality and person-to-person transmission. In order to obtain an updated and deep understanding of the epidemiological characteristics of SFTS in mainland China, we used Pearson’s chi-squared test to compare the fatality rate and demographic characteristics in different groups. Data were analyzed in R3.6.1 (R Development Core Team 2018), while the visualization was performed in ArcGIS 10 (ESRI, Redlands, CA, USA), and the statistical significance was set at p < 0.05. A total of 13,824 SFTS cases involving 8899 lab-confirmed cases and 4925 probable cases were reported and included in the epidemiological analysis. Our study found that the number of SFTS cases showed an increasing trend with a small decrease in the past three years. The laboratory-confirmed rate was about 64.4%, which varied between different years and areas. Although most cases (99.3%) were distributed in 7 provinces (Henan, Shandong, Anhui, Hubei, Liaoning, Zhejiang, and Jiangsu), the regional distribution of SFTS gradually expanded from 5 provinces in 2010 to 25 provinces by 2019, especially at the town level. The SFTS cases were mainly sporadic. A total of 96.5% occurred from April to October, and 93.3% of cases were concentrated in middle-aged and elderly people (40–84 years old). Farmers were the main high-risk population. Female cases were slightly more than male cases; however, there were differences between different provinces. The mortality rate showed an increasing trend with age. Overall, the SFTS cases were mainly middle-aged and elderly farmers that sporadically distributed throughout seven provinces with a spatially expanding trend. The laboratory-confirmed rate varied in different years and provinces, which implied that the diagnosis and report criteria for SFTS should be further updated and unified in order to get a better understanding of its epidemiological characteristics and provide scientific data for SFTS control.

scholarly journals Seroprevalence and risk factors associated with infection by Neospora caninum of dairy cattle in the state of Alagoas, Brazil

2012 ◽  
Vol 32 (10) ◽  
pp. 1009-1013 ◽  
Author(s):  
Maria E. Sousa ◽  
J.N. Porto Wagnner ◽  
Pedro P.F. Albuquerque ◽  
Orestes L. Souza Neto ◽  
Eduardo B. Faria ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dairy Cattle ◽  
Indirect Immunofluorescence ◽  
Neospora Caninum ◽  
Infection Risk ◽  
Control Measures ◽  
Risk Indicators ◽  
Blood Samples ◽  
Factors Associated ◽  
Serological Investigation

The objective of this study was to investigate the prevalence of anti-Neospora caninum antibodies in cattle from milk producing farms of the microregion of Batalha, state of Alagoas, Brazil, as well as to identify the risk factors associated with the infection. Blood samples were collected from 1,004 cattle of 17 farms for the serological investigation regarding the presence of anti-N. caninum antibodies by the Indirect Immunofluorescence Reaction Technique (IMRT). From the total amount of samples analyzed, 77/1,004 (7.67%) were positive and 927/1,004 (92.33%) were negative. The logistical regression identified that cattle from farms without consortium breeding have an infection risk 6.33 (p<0.001; C.I. 2.89-13.10) times higher than cattle from farms with that type of breeding. Cattle from farms where the aborted fetuses are not adequately buried have an infection risk 3.04 (p<0.001; C.I. 1.64-5.63) times higher than cattle from farms with adequate destination of these fetuses. Infection by N. caninum occurs in cattle of the investigated region. The factors identified in our study can be used as risk indicators, so that control measures could be implemented to avoid infection by N. caninum in the herds of this region.

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.

scholarly journals Current status of major foodborne and waterborne viral infections and their prevention strategies

2021 ◽  
Vol 7 (3) ◽  
pp. 227-241
Author(s):  
Ahmet Gökhan Coşkun ◽  
Ayşegül Demircioğlu ◽  
Seran Temelli ◽  
Ayşegül Eyigör
Keyword(s):  
Viral Infections ◽  
Hemorrhagic Fever ◽  
Diagnostic Techniques ◽  
Control Measures ◽  
Current Status ◽  
Waterborne Diseases ◽  
Antiviral Compounds ◽  
Current Prevalence ◽  
Haccp System ◽  
Waterborne Viruses

Advances in diagnostic techniques and their widespread use for infectious agents revealed the considerably high current prevalence of viral agents in foodborne and waterborne diseases. Foodborne and waterborne viruses are indicated to cause not only gastroenteritis and hepatitis but also neurological disorders, respiratory tract diseases, myocarditis, glomerulonephritis and hemorrhagic fever, with a particularly high mortality rate in infants/children and in individuals with immune deficiency. Additionally, due to their resistance to environmental conditions and food processes compared to other microorganisms, elimination of these viruses by heat and high pressure applications, natural antiviral compounds, UV applications and conventional cleaning-disinfection remains difficult even inadequate. In protection from viral infections, vaccine applications together with GMP, GHP and HACCP system approaches in production seem to be the most effective approaches to ensure the minimization of viruses in food environment and in public. In this review article, up-to-date information is presented on the general characteristics and the diseases caused by enterotropic viruses; NoV, AstV, RoV, AdV and hepatotropic viruses; HAV and HEV, with a particularly high worldwide prevalence, as well as their epidemiology, prevention and their control measures.

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