scholarly journals Analyzing risk factors for lumpy skin disease by a geographic information system (GIS) in Turkey

2020 ◽  
Vol 70 (4) ◽  
pp. 1797
Author(s):  
O.B. INCE ◽  
T. TÜRK

Lumpy skin disease (LSD) is caused by the virus of the same name and has major economic impacts on cattle breeding. In Turkey, frequent cases of cattle LSD have been reported over the last years. The present study aimed to analyze potential risk factors for LSD and provide information for controlling the spread of infectious diseases by a geographic information system (GIS). The research included cross-sectional and retrospective studies with active disease follow-up and semi-structured interviews (SSI) from August 2013 to December 2014 in Turkey. Potential risk factors for LSD were evaluated based on environmental conditions and provincial demographic and epidemiological data. Of the total of 562 observed animals, 27.22% and 2.67% of cattle were sick and died due to LSD, respectively. The morbidity rate was 26.04% in mixed and 38.18% in local breeds. The animal-level prevalence significantly differed among animals of different age, sex, and with different vaccination status (P<0.05). It was more serious in younger animals and females and during drier weather conditions. A trend of seasonality was observed in LSD occurrence. Significant risk factors affecting the prevalence of LSD were proximity to the southern border of Turkey, animal movements, and animal markets. In this process, geographical query, analysis, and thematic map production were performed by GIS.

2021 ◽  
Author(s):  
Leonardo Uchiumi ◽  
Guillermo Mujica ◽  
Daniel Araya ◽  
Juan Carlos Salvitti ◽  
Mariano Sobrino ◽  
...  

Abstract Background: Cystic echinococcosis (CE) is a parasitic zoonosis caused by infection with the larval stage of Echinococcus granulosus sensu lato This study investigated the prevalence and potential risk factors associated with human CE in the towns and rural areas of Ñorquinco and Ramos Mexia, Rio Negro province, Argentina. Methods: In order to detect abdominal CE cysts, we screened 892 volunteers by ultrasound and investigated potential risk factors for CE using a standardized questionnaire. Bivariate and multivariate analyses were used to estimate the Prevalence Ratio (PR) and their 95% CIs of the association between CE and the factors investigated. Results: Abdominal CE was detected in 42/892 screened volunteers (4.7%, CI 3.2-6.1), only two of who being under 15 years of age. Thirteen CE (30.9%) cases had 25 cysts in active stages (CE1, CE2, CE3) The most relevant risk factors identified in the bivariate analysis included: live in rural area (p=0.003), age >40 years (p=0.000), drinking always water of natural source (p=0.007), residing in rural areas during first five years of life (p=0.000) and live more than 20 years at your current address (p=0.013). In the multivariate model, statistically significant risk factors were: frequently touch dogs (p=0.012), residing in rural areas during first five years of life (p=0.004), smoking (p=0.000), age > 60 years (p­­=0.002) and live in rural areas (p=0.017).Conclusions: our results point toward infection with CE being acquired since childhood and with constant exposure throughout life, especially in rural areas with a general environmental contamination


2020 ◽  
Vol 41 (S1) ◽  
pp. s68-s69
Author(s):  
Karen Jones ◽  
Yi Mu ◽  
Qunna Li ◽  
Allan Nkwata ◽  
Minn Soe ◽  
...  

Background: The Centers for Disease Control and Prevention’s National Healthcare Safety Network (NHSN) has included surveillance of laboratory-identified (LabID) methicillin-resistant Staphylococcus aureus (MRSA) bacteremia events since 2009. In 2013, the Centers for Medicare & Medicaid Services (CMS) began requiring acute-care hospitals (ACHs) that participate in the CMS Inpatient Quality Reporting program to report MRSA LabID events to the NHSN and, in 2015, ACHs were required to report MRSA LabID events from emergency departments (EDs) and/or 24-hour observation locations. Prior studies observed a decline in hospital-onset MRSA (HO-MRSA) rates in national studies over shorter periods or other surveillance systems. In this analysis, we review the national reporting trend for HO-MRSA bacteremia LabID events, 2010–2018. Method: This analysis was limited to MRSA bacteremia LabID event data reported by ACHs that follow NHSN surveillance protocols. The data were restricted to events reported for overall inpatient facility-wide and, if applicable, EDs and 24-hour observation locations. MRSA events were classified as HO (collected >3 days after admission) or inpatient or outpatient community onset (CO, collected ≤3 days after admission). An interrupted time series random-effects generalized linear model was used to examine the relationship between HO-MRSA incidence rates (per 1,000 patient days) and time (year) while controlling for potential risk factors as fixed effects. The following potential risk factors were evaluated: facility’s annual survey data (facility type, medical affiliation, length of facility stay, number of beds, and number of intensive care unit beds) and quarterly summary data (inpatient and outpatient CO prevalence rates). Result: The number of reporting ACHs increased during this period, from 473 in 2010 to 3,651 in 2018. The crude HO-MRSA incidence rates (per 1,000 patient days) have declined over time, from a high of 0.067 in 2011 to 0.052 in 2018 (Table 1). Compared to 2014, the adjusted annual incidence rate increased in 2015 by 16.38%, (95% confidence interval [CI], 10.26%–22.84%; P < .0001). After controlling for all significant risk factors, the estimated annual HO-MRSA incidence rates declined by 5.98% (95% CI, 5.17%–6.78%; P < .0001) (Table 2). Conclusions: HO-MRSA bacteremia incidence rates have decreased over the past 9 years, despite a slight increase in 2015. This national trend analysis reviewed a longer period while analyzing potential risk factors. The decline in HO-MRSA incidence rates has been gradual; however, given the current trend, it is not likely to meet the Healthy People 2020 objectives. This analysis suggests the need for hospitals to continue and/or enhance HO-MRSA infection prevention efforts to reduce rates further.Funding: NoneDisclosures: None


2019 ◽  
Vol 12 ◽  
pp. 175628481985311 ◽  
Author(s):  
Pin-Chieh Wu ◽  
Yan-Hua Chen ◽  
Fu-Zong Wu ◽  
Kung-Hung Lin ◽  
Chiao-Lin Hsu ◽  
...  

Background: Barrett’s esophagus (BE) is a premalignant condition with increased incidence worldwide both in old and young individuals. However, the role of certain potential risk factors remains unclear in young adults (< 50 years). We aimed to determine the risk factors of BE in young adults. Methods: A total of 4943 young adults who underwent upper gastrointestinal endoscopy at our health check-up center were enrolled. The diagnosis of BE was based on histological confirmation. We analyzed demographic factors, laboratory data, potential risk factors such as smoking, alcohol consumption, presence of gastroesophageal reflux disease (GERD) symptoms, and metabolic syndrome for the risk of BE by using binary logistic regression analysis. Results: The prevalence of BE was 1.8% (88/4943). Male sex, the presence of GERD symptoms, and smoking were three significant risk factors related to BE. Furthermore, participants who had smoked for 10 pack-years or more had increased risk of BE with dose-dependent phenomenon ( p trend < 0.001). The proportion of BE in male participants with both GERD symptoms and a smoking history of 10 pack-years or more was as high as 10.3% (16/155). Conclusions: Significant risk factors of BE in young adults are male sex, the presence of GERD symptoms, and smoking. The risk also increases with an increase in cumulative exposure to smoking.


2020 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Sulistyawati Sulistyawati

Background: Dengue is a viral infection transmitted by mosquitoes that continue to be a significant health challenge in many tropical and subtropical countries. So far, Geographic Information System (GIS) in the health sector contributed to disease prevention, especially for visualization of the disease case. GIS is one of the important tools in spatial epidemiology to assist identification and spatial analysis of the target disease intervention. This article summarizes the use of GIS to assess risk factors for DHF, and how efficient the use of GIS in facilitating the improvement of disease surveillance systems for the prevention and control of diseases. Methods: This paper was developed using a descriptive approach, conducted in September and December 2019. The primary data used in this research were from ScienceDirect databased by collecting some studies that assess the risk of dengue using GIS applications. Results: The results of reviews of research in several countries which use GIS applications in assessing the risk of dengue incidence, ie, in Swat, Pakistan evaluated the impact of the slope, population density, and the distance to the river through GIS applications. Then in Seremban and Putrajaya, Malaysia implemented a participatory approach to identify the spatial risk of dengue in the community. Research in Lahore, Pakistan, analyzed the risk of dengue. Study in Colombia conducted GWR to evaluate the association between socioeconomic factors and the environment with dengue fever incidence. Recently, research in Taiwan integrated GIS to detect the correlation between population density and the possibility of human contact with mosquitoes. Conclusions: Based on the results of the review, it can be drawn that asses the dengue risk with GIS applications is highly relevant because it can determine the factors which affect the incidence of dengue. Besides, it can determine the spatial correlation between risk factors and the incidence of dengue, as well as to evaluate the impact of the dengue occurrence.            


Author(s):  
George Steve Tsagaris ◽  
Mamadou Mansor Seck ◽  
Janet Keeler ◽  
Robert Rowe

Purpose – Adult offenders diagnosed with developmental disabilities have been referred for services to a Northeast Ohio county agency. The purpose of this paper is to examine their repartition in the three areas of the county as determined by zip codes, their involvement with the criminal justice system, types of offenses they committed, their indictment, and the court outcomes. Design/methodology/approach – This study used a geographic information system (GIS) mapping based on secondary data collected from the 2008 to 2012 American Community Survey and a random sample of 160 participants selected from an agency database including 850 clients. Findings – The authors found that the concentrations of offenders in the core city, inner, and outer suburbs of the county were, respectively 71.7, 19.6, and 8.7 percent. The largest racial groups included African Americans (112; 70 percent) and Whites (33; 20.6 percent). Male offenders (155; 96.9 percent) outnumbered female offenders. Of the offenses committed, 42.9 percent were crimes against persons including kidnapping, abduction, assault, followed by crimes against property (22.2 percent), and crimes against society (26.4 percent). As they appeared before Mental Health Court or Non Mental Health Court judges, the court outcome evolved from community control for six months to prison sentence of 120 months. Research limitations/implications – These findings will enable agency professionals to look for protective as well as risk factors that are prevalent in each area of this NEO county and make plans for more effective, preventative, and clinical service provision. Originality/value – The use of GIS for data analysis represents an innovation in the research field involving adult offenders with developmental disability as it allows professionals to look for protective as well as risk factors that are prevalent in their clients’ immediate environment.


2021 ◽  
Vol 115 (1) ◽  
pp. 5-16
Author(s):  
Elyse Connors ◽  
Amber E. Willard ◽  
Kathleen M. Baker ◽  
Katie Debiak ◽  
Renee Beranek ◽  
...  

Introduction: The number of adults with visual impairments (i.e., blindness or low vision) is increasing, especially with the aging of the population. Although awareness of vision loss as a public health problem is growing, public health budgets are decreasing. This study exemplifies the use of publicly available secondary data and geographic information system (GIS) mapping to spatially map areas of potential higher risk for vision loss and identify where specialized, low vision resources are located, by county, in Michigan. Methods: County-level, publicly available data on risk factors for low vision (health and demographic) and specialized low vision resources (medical, rehabilitation, and community) are extracted from existing public health data sets and information published on the Internet. GIS mapping is applied to visually examine potential areas of disparity between need and resources. Results: Broadly speaking, counties in Michigan with the highest number of risk factors for low vision are clustered in the center of the Lower Peninsula and on the eastern and western ends of the Upper Peninsula. Areas that have fewer resources for low vision are clustered in the thumb area and the middle to upper part of the Lower Peninsula. Resources are concentrated near the state’s metropolitan areas (i.e., Detroit and suburbs, Kalamazoo, and Grand Rapids). Discussion: Maps can be helpful in locating areas of health disparities, but they need to be interpreted carefully such as by considering the county’s population size. Understanding the eligibility criteria of available services can help to uncover groups of persons not being served. Implications for practitioners: With increasing need for services and shrinking budgets, strategic planning may help alleviate anticipated shortfalls in available services. Use of publicly available data and GIS mapping may be an affordable and efficient method to identify areas of need and resources, for targeted public health efforts in vision.


Parasitology ◽  
2004 ◽  
Vol 129 (3) ◽  
pp. 301-309 ◽  
Author(s):  
G. SCHARES ◽  
A. BÄRWALD ◽  
C. STAUBACH ◽  
M. ZILLER ◽  
D. KLÖSS ◽  
...  

In the German state of Rhineland-Palatinate, herds were identified that were likely to have aNeospora caninumsero-prevalence [ges ]10% by using a bulk milk ELISA. Individual herd data were obtained by a questionnaire. Univariate logistic regression showed that bulk milk positive farms had a significantly higher chance to report an increased abortion rate than negative farms (PWald<0·1). The chance to have a bulk milk positive herd increased with the minimum number of years a farm had reported an increased abortion rate (PWald<0·1). Questionnaire data, population and dog density as well as climatic data specific for the farm localization were used to identify potential risk factors for a herd to have acquiredN. caninuminfections. Within an optimized multiple logistic regression model ‘Number of farm dogs’, ‘Herd size’, and factors related to the municipality the farm was localized, i.e. ‘Mean temperature in July’, and ‘Dog density’ were significant risk factors (PWald<0·1). The present study underlines the role farm dogs have in the epidemiology of neosporosis. In addition, it suggests that the risk a herd has to acquireN. caninuminfections is also associated with factors related to the farm location, i.e. factors that are largely out of the control of farmers.


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