Application of Commercial and Backyard Poultry Geographic Information System Databases for the Identification of Risk Factors for Clinical Infectious Laryngotracheitis in a Cluster of Cases on the Delmarva Peninsula

2004 ◽  
Vol 3 (3) ◽  
pp. 201-205 ◽  
Author(s):  
Y.J. Johnson . ◽  
M.M. Colby . ◽  
N.L. Tablante . ◽  
F.N. Hegngi . ◽  
M. Salem . ◽  
...  
Keyword(s):  
Risk Factors ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Delmarva Peninsula ◽  
Backyard Poultry ◽  
Infectious Laryngotracheitis

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
Keyword(s):  
Risk Factors ◽  
Information System ◽  
Geographic Information System ◽  
Potential Risk ◽  
Skin Disease ◽  
Significant Risk ◽  
Geographic Information ◽  
Morbidity Rate ◽  
Lumpy Skin Disease ◽  
Potential Risk Factors

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.

scholarly journals Measuring the dengue risk area using Geographic Information System: a review

2020 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Sulistyawati Sulistyawati
Keyword(s):  
Risk Factors ◽  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Spatial Epidemiology ◽  
Geographic Information ◽  
Community Research ◽  
Gis Applications ◽  
Disease Case ◽  
The Impact

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.            

Geographic information system analysis of developmentally disabled adult offenders

2016 ◽  
Vol 7 (1) ◽  
pp. 4-13
Author(s):  
George Steve Tsagaris ◽  
Mamadou Mansor Seck ◽  
Janet Keeler ◽  
Robert Rowe
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Information System ◽  
Geographic Information System ◽  
System Analysis ◽  
Geographic Information ◽  
Mental Health Court ◽  
Gis Mapping ◽  
Community Control ◽  
Content Type

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.

Use of Geographic Information System Mapping in the Examination of Specialized Low Vision Resources and Areas of Need in Michigan

2021 ◽  
Vol 115 (1) ◽  
pp. 5-16
Author(s):  
Elyse Connors ◽  
Amber E. Willard ◽  
Kathleen M. Baker ◽  
Katie Debiak ◽  
Renee Beranek ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Information System ◽  
Geographic Information System ◽  
Vision Loss ◽  
Low Vision ◽  
Public Health Problem ◽  
Geographic Information ◽  
Gis Mapping ◽  
Lower Peninsula

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.

PEMANFAATAN WEBGIS DALAM MENDUKUNG PROGRAM DESA BERSAUDARA DI KABUPATEN MAGELANG

2018 ◽  
Vol 2 ◽  
pp. 223
Author(s):  
Humam Zarodi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information

<p>Erupsi Gunungapi Merapi tahun 2010 mengakibatkan banyak korban jiwa, kerusakan aset dan kerugian di berbagai bidang. Untuk meminimalkan korban jiwa, kerusakan dan kerugian, diperlukan upaya pengurangan risiko bencana (PRB). Salah satu upaya yang dilakukan adalah program desa bersaudara (<em>sister village</em>) yang digagas oleh Pemerintah Kabupaten Magelang melalui Badan Penanggulangan Bencana Daerah (BPBD). Program desa bersaudara ini bertujuan agar ada kepastian tempat pengungsian, mengurangi kesemrawutan proses pengungsian serta memudahkan pelayanan pengungsi. Program ini dapat memanfaatan Sistem Informasi Geografis/<em>Geographic Information System</em> (GIS) yang berbasis web (<em>WebGIS</em>). <em>WebGIS</em> mampu mendiseminasikan peta yang dihasilkan dalam program desa bersaudara, misalnya peta jalur evakuasi. Makalah ini bertujuan untuk mendiskripsikan pemanfataan <em>WebGIS</em> dalam mendukung program desa bersaudara, dengan mengambil kasus di Desa Ngargomulyo (desa rawan bencana) dan Desa Tamanagung (desa penyangga/ penerima pengungsi). Metodenya adalah memaparkan proses pemetaan jalur evakuasi. Proses penyusunan peta tersebut terbagi empat tahap:   survei lapangan, penyiapan data spasial, coding dan publikasi. Hasilnya adalah tampilan peta jalur evakuasi yang bisa diakses oleh siapapun tanpa menggunakan aplikasi GIS yang memudahkan masyarakat pengungsi, penerima pengungsi, pemerintah maupun parapihak, mengetahui asal pengungsi, jalur evakuasi dan titik pengungsian. Penelitian ini menyimpulkan bahwa pemetaan <em>WebGIS</em> dapat mendukung upaya PRB dengan keunggulan bisa dijangkau pengguna secara sangat luas.<strong></strong></p><p><strong>Kata kunci</strong>: desa bersaudara, <em>sister village</em>, pemetaan jalur evakuasi, <em>gis</em>, <em>webgis</em></p>

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