scholarly journals Investigation of the incidence rate and geographical distribution of congenital hypothyroidism in the newborns in Ilam Province by using geographic information system (GIS) between 2006 and 2016

2019 ◽  
Vol 24 (1) ◽  
pp. 98-111
Author(s):  
salman daliri ◽  
Khairollah Asadollahi ◽  
arezoo karimi ◽  
asad ehsanzadeh ◽  
Nazanin Rezaei ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Incidence Rate ◽  
Geographical Distribution ◽  
Congenital Hypothyroidism ◽  
Geographic Information

scholarly journals Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model

2020 ◽  
Vol 17 (21) ◽  
pp. 7824
Author(s):  
Jaehyeong Cho ◽  
Seng Chan You ◽  
Seongwon Lee ◽  
DongSu Park ◽  
Bumhee Park ◽  
...  
Keyword(s):  
United States ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Health Outcomes ◽  
Open Source ◽  
Geographical Distribution ◽  
The United States ◽  
Geographic Information ◽  
Common Data Model

Background: Spatial epidemiology is used to evaluate geographical variations and disparities in health outcomes; however, constructing geographic statistical models requires a labor-intensive process that limits the overall utility. We developed an open-source software for spatial epidemiological analysis and demonstrated its applicability and quality. Methods: Based on standardized geocode and observational health data, the Application of Epidemiological Geographic Information System (AEGIS) provides two spatial analysis methods: disease mapping and detecting clustered medical conditions and outcomes. The AEGIS assesses the geographical distribution of incidences and health outcomes in Korea and the United States, specifically incidence of cancers and their mortality rates, endemic malarial areas, and heart diseases (only the United States). Results: The AEGIS-generated spatial distribution of incident cancer in Korea was consistent with previous reports. The incidence of liver cancer in women with the highest Moran’s I (0.44; p < 0.001) was 17.4 (10.3–26.9). The malarial endemic cluster was identified in Paju-si, Korea (p < 0.001). When the AEGIS was applied to the database of the United States, a heart disease cluster was appropriately identified (p < 0.001). Conclusions: As an open-source, cross-country, spatial analytics solution, AEGIS may globally assess the differences in geographical distribution of health outcomes through the use of standardized geocode and observational health databases.

scholarly journals Studi Kasus: Kejadian Bruselosis Pada Sapi Potong Di Kabupaten Barru Provinsi Sulawesi Selatan Tahun 2015-2017

2022 ◽  
Vol 11 (3) ◽  
pp. 321
Author(s):  
Herwin Pisestyani ◽  
Nisa Nurul Fitria ◽  
Ardilasunu Wicaksono
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Beef Cattle ◽  
Incidence Rate ◽  
Control Measure ◽  
Geographic Information ◽  
South Sulawesi ◽  
Medium Risk ◽  
Risk Areas ◽  
Analyze Data

Abstract There is still lack of bruselosis in beef cattle in Barru District, South Sulawesi. The aim of this study was to analyze data about the temporary distribution of disease by measuring spreading speed, and spatial distribution by mapping risk areas for bruselosis over the past three years. The data of this study was collected using the records from Dinas Peternakan and conducting interviews using structured questionnaires. This research was a descriptive study by measuring the incidence rate and describing the risk map using geographic information system (GIS). The results of this study indicate that, based on the incidence rate, the average of distribution rate of bruselosis in beef cattle in Barru is 5 cases per 10 000 heads/year. This incidence rate always decreases every year. There was no sub-district that classified as high risk. There was one area that classified as medium risk namely sub-district of Mallusetasi. Control measure that have been carried out by goverment were successful to reduce the spread of disease. Keywords: Beef cattle; Bruselosis; Incidence rate; Occurrence; Risk.   Abstrak Informasi mengenai penyebaran kejadian penyakit pada sapi potong di Kabupaten Barru Sulawesi selatan masih kurang. Penelitian ini bertujuan menganalisis data distribusi kejadian penyakit secara temporal dengan mengukur kecapatan penyebaran, dan secara spasial dengan memetakan wilayah berisiko bruselosis selama tiga tahun terakhir. Data dalam penelitian ini menggunakan rekapan dari Dinas Peternakan dan wawancara mendalam menggunakan kuesioner terstruktur. Penelitian ini mengunakan metode deskriptif dengan mengukur incidence rate dan menggambarkan peta risiko menggunakan geographic information system. Hasil penelitian ini menunjukkan bahwa berdasarkan incidence rate, kecepatan rata-rata penyebaran bruselosis pada sapi potong di Kabupaten Barru sebesar 5 kasus per 10 000 ekor/tahun. Nilai incidence rate tersebut selalu menurun setiap tahunnya. Kejadian penyakit paling tinggi terjadi di Kecamatan Mallusetasi dengan incidence rate sebesar 35 kasus per 10 000 ekor/tahun. Terdapat satu wilayah yang tergolong ke dalam risiko sedang, yaitu Kecamatan Mallusetasi. Tindakan pengendalian yang telah dilakukan oleh pemerintah setempat dikatakan berhasil dalam menekan tingkat kejadian penyakit. Kata kunci: Bruselosis; Incidence rate; Risiko; Sapi potong; Tingkat kejadian

scholarly journals Geographical distribution of Typhoid using Geographic Information System (GIS) during 2009-2014 in Iran

2021 ◽  
Author(s):  
Ebrahim Ghaderi ◽  
Seyed Mohsen Zahraei ◽  
Ghobad Moradi ◽  
Elham Goodarzi ◽  
Abbas Norouzinejad ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographical Distribution ◽  
Geographic Information

scholarly journals Sistem Informasi Geografis Diare Pada Balita Di Wilayah Kerja Puskesmas Banjarbaru

2017 ◽  
Vol 11 (1) ◽  
pp. 151
Author(s):  
Noraida Noraida ◽  
Abdul Khair ◽  
Munawar Raharja
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Incidence Rate ◽  
Descriptive Study ◽  
Geographic Information ◽  
Health Centers ◽  
Thematic Maps

Abstract: Geographic Information System of Diarrhea in Children in the Area of Puskemas Kota Banjarbaru. Incidence of diarrhea was always found every year in Banjarbaru. Incidence rate of diarrhea in Banjarbaru in 2009 to 2012 are respectively 20.98, 19.86, and 16.39. The presentation of data on the incidence of diarrhea mainly done using tables and graphs. The aim of the study was to describe the incidence of diarrhea in children aged less than 5 years in the area of Puskemas Kota Banjarbaru using geographic information system. This research is a descriptive study. Four of the eight health centers in Banjarbaru was chosen as samples. All children aged less than 5 years old who suffered from diarrhea in the four regions had been recorded. Furthermore, measurements of the coordinates of the house where there is a child aged less than 5 years of the living was done. Based on data from the coordinates, thematic maps of the incidence of diarrhea was made. The results showed that during the months of January to June 2013, the incidence of diarrhea is solid in the areas of Puskesmas Banjarbaru and Puskesmas Sungai Besar, is width in the Puskesmas Sungai Ulin, and is solid and long in the area of Puskesmas Cempaka. The results showed that during the months of January to June 2013, the incidence of diarrhea is solid in the areas of Puskesmas Banjarbaru and Puskesmas Sungai Besar, is width in the Puskesmas Sungai Ulin, and is solid and long in the area of Puskesmas Cempaka. It is recommended that a follow-up is done in order to prevent or reduce the incidence of diarrhea through concrete and effective interventions.Keywords  :   Diarrhea; GIS; Banjarbaru

scholarly journals Geographical distribution of Anthrax using Geographic Information System (GIS) during 2010-2015 in Iran

2021 ◽  
Author(s):  
Behzad Amiri ◽  
Ebrahim Ghaderi ◽  
Parvin Mohamadi ◽  
Samira Shirzadi ◽  
Shahla Afrasiabian ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographical Distribution ◽  
Geographic Information

scholarly journals Distribusi Skabies pada Peternakan Sapi Potong di Kabupaten Barru Provinsi Sulawesi Selatan

2020 ◽  
Vol 10 (2) ◽  
pp. 159
Author(s):  
Meisi Nuriski ◽  
Ardilasunu Wicaksono ◽  
Chaerul Basri
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Beef Cattle ◽  
Incidence Rate ◽  
Geographic Information ◽  
Control Measures ◽  
Risk Areas ◽  
Average Distribution ◽  
Cattle Farms ◽  
Cattle Distribution

Abstract  Beef cattle farms in Barru district are susceptible to various diseases, including scabies. This study aims to analyze data about the distribution of disease temporally by measuring the spreading speed, and spatially by mapping risk areas for scabies over the past three years. The data of this study was collected using the records from Dinas Peternakan and conducting interviews using structured questionnaires. This research was a descriptive study by measuring the incidence rate and describing the risk map using geographic information system (GIS). The results of this study indicate that, based on the incidence rate, the average distribution rate of scabies in beef cattle in Barru is 13 cases per 10.000 head/year. This incidence rate always increases every year. Furthermore, the highest incidence of the disease occurs in Mallusetasi with an incidence rate of 35 cases per 10 000 head/year. The three areas that are classified as high risk are Mallusetasi, Tanete Riaja, and Barru. Control measures that have been carried out were not successful to reduce the spread of the disease. Keywords : Beef cattle; Distribution; Incidence rate; Risk; Scabies   Abstrak  Peternakan sapi potong di Kabupaten Barru rentan terhadap berbagai penyakit, termasuk skabies. Penelitian ini bertujuan menganalisis data distribusi kejadian penyakit secara temporal dengan mengukur kecepatan penyebaran, dan secara spasial dengan memetakan wilayah berisiko skabies selama tiga tahun terakhir. Data dalam penelitian ini menggunakan rekapan dari Dinas Peternakan dan wawancara mendalam menggunakan kuesioner terstruktur. Penelitian ini mengunakan metode deskriptif dengan mengukur incidence rate dan menggambarkan peta risiko menggunakan geographic information system (GIS). Hasil penelitian ini menunjukkan bahwa berdasarkan incidence rate, kecepatan rata-rata penyebaran skabies pada sapi potong di Kabupaten Barru sebesar 13 kasus per 10000 ekor—tahun. Nilai incidence rate tersebut selalu meningkat setiap tahunnya. Kejadian penyakit paling tinggi terjadi di kecamatan Mallusetasi dengan incidence rate sebesar 35 kasus per 10000 ekor—tahun. Terdapat 2 wilayah yang tergolong ke dalam risiko tinggi, yaitu Kecamatan Mallusetasi dan Kecamatan Tanete Riaja. Tindakan pengendalian yang telah dilakukan belum berhasil dalam mengurangi kecepatan penyebaran penyakit.  Kata kunci: Sapi potong; Incidence rate; Penyebaran; Risiko; Skabies

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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