scholarly journals PENGARUH HOUSE INDEX DAN MAYA INDEX TERHADAP KEJADIAN DEMAM BERDARAH DENGUE DI KECAMATAN GROGOL KABUPATEN SUKOHARJO MENGGUNAKAN GEOGRAPHIC INFORMATION SYSTEM (GIS)

IKESMA ◽  
2018 ◽  
Vol 14 (2) ◽  
pp. 135
Author(s):  
Nine Elissa Maharani ◽  
Pranichayudha Rohsulina
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Dengue Fever ◽  
Public Health Problem ◽  
Geographic Information ◽  
P Value ◽  
Important Public Health Problem ◽  
Cross Sectional ◽  
Central Java ◽  
Index Effect

Dengue fever is an important public health problem in indonesia, in the year 2014 the number of death due to dengue fever in Indonesia 903 people from 99499 cases. Sukoharjo district is one of the bloody endemic distrric in central java. In eradicating dengue fever, the larva survey used is a visual method using the entomology indicator, the house index and maya index. This study aims to determine the effect of house index and maya index on the incidence of dengue fever in  Grogol district of Sukoharjo using geographic information system (GIS). The research method used is an analytical survey wuth cross sectional approach. The result of the study showed a maya index effect on the incidence of dengue fever in  Grogol district of Sukoharjo (p value 0,00), there is no effect of house index on the incidence of dengue fever in Grogol District of Sukoharjo (p value 0,87).

scholarly journals The Implementation of Spatial Weighted Regression on Detecting the Risk Factors of Malaria Incidences In Kulonprogo District

2019 ◽  
Author(s):  
Nur Rokhman ◽  
Nuryati . ◽  
Marko Ferdian Salim ◽  
M. Syairaji ◽  
Ismil Khairi Lubis
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
System Approach ◽  
Public Health Problem ◽  
Geographic Information ◽  
Weighted Regression ◽  
Cross Sectional ◽  
Anopheles Mosquitoes ◽  
Partial Analysis ◽  
Cross Sectional Design

Malaria is still a public health problem caused by Plasmodium parasites. This disease is naturally transmitted through the bite of female Anopheles mosquitoes. Kulonprogo Regency is one of the malaria endemic areas that needs to be developed to combat malaria. This research aims to describe the distribution of malaria cases to determine vulnerable areas in Kulonprogo Regency. This research was an observational analytic with cross sectional design conducted in April - October 2018. This research used the total sampling of 62 malaria cases. Data analysis was performed by using a Geographic Information System approach with overlay, buffer, cluster techniques, and spatial weighted regression. Based on the results of the partial analysis, it was found that 62 cases of malaria spread in 6 sub-districts namely: Kokap, Pengasih, Samigaluh, Kalibawang, Wates and Sentolo. The distribution of malaria cases clustered in Kokap Sub District, namely in Kalirejo Village (29 cases) and Hargorejo Village (9 cases). The overlay and buffer techniques found that the distribution of cases spread in Menoreh hills which have forest vegetation. Malaria-prone areas in Kulonprogo Regency were found in Kalirejo Village and Hargorejo Village through the results of spatial analysis using a Geographic Information System approach. Thus, malaria control efforts were focused on these vulnerable areas.

scholarly journals Geographic Information System-based Screening for TB, HIV, and Syphilis (GIS-THIS): A Cross-Sectional Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e46029 ◽  
Author(s):  
Neela D. Goswami ◽  
Emily J. Hecker ◽  
Carter Vickery ◽  
Marshall A. Ahearn ◽  
Gary M. Cox ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Cross Sectional Study ◽  
Geographic Information ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Analisis faktor kejadian wasting pada anak balita 12-59 bulan di Puskesmas Bulili Kota Palu: Studi cross sectional

2021 ◽  
Vol 6 (2) ◽  
pp. 111
Author(s):  
Hepti Muliyati ◽  
Menis Mbali ◽  
Hadidja Bando ◽  
Riana Pangestu Utami ◽  
Opyn Mananta
Keyword(s):  
Public Health ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Public Health Problem ◽  
Sampling Technique ◽  
P Value ◽  
Fisher Exact Test ◽  
Important Public Health Problem ◽  
Cross Sectional ◽  
Exact Test

Wasting on children is an important public health problem because of its considerable impact on their health and growth. This problem could lead to iron deficiency which could induce infection disease and probably lower a child’s intelligence as a long-term effect. This study aimed to analyze factors related to wasting on 12-59 months children in Bulili Public Health Center (PHC), Palu City. The analytical descriptive study designed with a cross-sectional approach was applied in this study. One hundred and twenty-one subject was selected from 283 children with purposive sampling technique. Data were analyzed with chi-square and Fisher exact test with significant (p < 0,05). The result showed that most children with low birth weight experienced wasting with a p-value = 0,000. Most of the children from higher-income families did not experience wasting with a p-value = 0,004. Most children who didn’t receive breastfeeding milk did not experience wasting with a p-value = 0,958. This study concluded a correlation between low birth weight and income to wasting, but breastfeeding practice was not related.

scholarly journals Epidemiological Profile of End-Stage Renal Diseases in Riyadh, Saudi Arabia

2020 ◽  
pp. 16-27
Author(s):  
A. A. Alkhlaif ◽  
A. K. Alsuraimi ◽  
A. A. Bawazir
Keyword(s):  
Saudi Arabia ◽  
Public Health Problem ◽  
Study Patient ◽  
Renal Diseases ◽  
P Value ◽  
Dialysis Patients ◽  
Important Public Health Problem ◽  
Cross Sectional ◽  
Care Project ◽  
Esrd Patients

Background/Aims: The Saudi Center for Organ Transplantation (SCOT) reported (2015) a total of 15,782 dialysis patients in Saudi Arabia. Out of these patients, 14,366 were treated via haemodialysis, whereas the remaining 1,416 underwent peritoneal dialysis. Aims: This study aimed to assess common factors that led to ESRD among dialysis patients at King Abdullah’s Dialysis Care Project in Riyadh, Saudi Arabia. Settings and Design: Cross-sectional hospital-based study was conducted in the period May-September 2017, in King Abdullah’s Dialysis Care Project in Riyadh, Saudi Arabia. Methods and Materials: This was a retrospective registry-based study using secondary data from the registry at King Abdullah’s Dialysis Care Project in Riyadh, Saudi Arabia (South Center). Registered male and female adult dialysis patients at this centre were included in this study. Patient medical records including disease state, laboratory profiles, and medical complications were analyzed. Statistical Analysis Used: Statistical Packages for Social Science (SPSS version 22) was used to analyse the data obtained. Various statistical analyses were conducted including means, frequencies, and regression analysis (odds ratio).A P-value of less than 0.05 was considered as significant in the study. Results: A total of 300 patients (55% males and 45% females) were included in this study. The mean age of the sample was 53 years (±SD 16). The prevalence of overweight and obese ESRD patients were 26% and 30%, respectively. The high frequent co-morbidities among ESRD patients were hypertension (82%) followed by diabetes mellitus (57%). The results showed that out of 90% of dialysis complications, 10% were cases of infection. Conclusions: ESRD is an important public health problem in Saudi Arabia with alarming in its annual rates. For a better understanding of the aetiology and specific risk factors provoking ESRD in Saudi Arabia, further studies need to be conducted.

scholarly journals Epidemiological Study and Spatial Modeling of Cutaneous Leishmaniasis in Bushehr Province Using the Geographic Information System (GIS) from 2011 to 2015

2019 ◽  
Author(s):  
Ali Dehghani ◽  
Mohamad Hasan Lotfi ◽  
Hossein Falahzadeh ◽  
Katayon Vahdat ◽  
Zahra Shabani
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Cutaneous Leishmaniasis ◽  
Health Problem ◽  
Rural Areas ◽  
Urban Areas ◽  
Geographic Information ◽  
Cross Sectional ◽  
Important Health ◽  
Epidemiological Characteristics

Introduction: It is generally accepted that cutaneous leishmaniasis is considered as an important health problem all over the world which is caused by leishmaniasis protozoan. This disease is also known as a health problem in some regions of Iran including Bushehr province. The present study investigated the geographical dispersion and the epidemiological characteristics of subjects with the cutaneous leishmaniasis in this province from 2011 to 2015. Method: In this cross-sectional and analytical study, the epidemiologic data including the age, gender, residential area, and counties with this disease was analyzed and collected from 663 patients who were followed up and treated from 2011 to 2015. Results: 422 (63.7%) of studied people were residents of urban areas and 241 (36.3%) lived in rural areas. 59.4% (394 people) were male and 40.6% (269) were female. The mean age of the subjects was 21.91± 17.01 (ranging from 1 to 80). Kangan County with an average 5-year incidence of 17.72 per a hundred thousand people had the highest incidence, but Tangestan County with the incidence of 8.47 per a hundred thousand people had the lowest average incidence. Based on GIS results, Jam County, which was not recognized as the focus of this disease in the past, has been considered as a new focus of disease in recent years. Conclusion: The geographic information system (GIS) is regarded as an effective tool for the organization of diseases and health data. The crisis can be identified and controlled by taking proper measures with the discovery of spatial accumulation of diseases.

scholarly journals Analisis Kondisi Lingkungan pada Kejadian Leptospirosis di Kabupaten Banyumas dengan Pendekatan Spasial

2021 ◽  
Vol 13 (2) ◽  
pp. 89-100
Author(s):  
Miftakhul Janah ◽  
Dwi Sarwani Sri Rejeki ◽  
Sri Nurlaela
Keyword(s):  
Land Use ◽  
Public Health Problem ◽  
P Value ◽  
Cross Sectional ◽  
Residential Land ◽  
Central Java ◽  
Residential Land Use ◽  
History Of ◽  
Spatial Grouping ◽  
And Control

Abstract. Leptospirosis is still becoming a public health problem in Indonesia. Banyumas was oneof the highest cases in Central Java by 2019 so it could be potentially endemic. GIS (GeographicInformation System) is used to determine spatial patt erns related to the environment. This researchaimed to know the distribution and spatial grouping of leptospirosis in Banyumas 2019. The type ofthis research is an observational study with a cross-sectional spatial analysis design to observe thespreading and grouping patt ern. The subjects of this study were 140 leptospirosis cases in Banyumas2019. House coordinate was collected by using GPS (Global Positioning System). The data collectionis done for a month. Data Analyzes was performed through ArcGIS 10.2, and SaTScan 9.7. Thedistribution of leptospirosis in Banyumas was spread over 14 districts, 45% cases in Cilongok, 25,71%cases were >56 years old, 62,1% cases were male, 40% cases were farmers. The results of the spatialanalysis showed 77.14% cases in residential land use areas, 70% cases with moderate populationdensity (5.00-1.249 people/km²), 62.85% cases in 0-199 altitude, 63.57% cases with low rainfall 500meters, and signifi cant grouping patt ern with p-value = 0.009 primary which is located in Cilongokand Ajibarang. Leptospirosis spread over in residential land use areas, moderate population density,low altitude, low rainfall, no history of fl ooding, a radius of river 500 meters, and occurs clusteringin Cilongok and Ajibarang. The location intervention of leptospirosis prevention and control can beprioritized in these areas.

scholarly journals PERANCANGAN SISTEM INFORMASI GEOGRAFIS PENYEBARAN PENYAKIT DEMAM BERDARAH DENGUE DI WILAYAH JOMBANG

SAINTEKBU ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 83-91
Author(s):  
Novi Dwesti Bahtiar ◽  
Agus Sifaunajah
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Dengue Fever ◽  
Geographic Information ◽  
Geographical Information ◽  
Design System ◽  
Google Maps ◽  
Web Based ◽  
Attribute Data ◽  
Number Of Patients

One of the most common cases of disease in Indonesia is dengue hemorrhagic fever. Jombang region is one of the areas whose people are infected with dengue fever because every year there must be cases and cases that occur is also high. Various efforts have been made to prevent the spread of the disease. Among the 3M program (Drain, Closing, and Bury), fumigation (fogging) in each area that is endemic DHF. But still there are victims, even increasing from the years. From these problems is also required system capable of providing relief. With this problem then built a Web-Based Geographic Information System that can help people to know the actual spread of dengue fever. Geographic Information System is a collection of computer systems that store, process, manipulate, analyze geography data into quality information related to geographic objects. Within the Geographic Information System itself there are two important elements of Geographic Data used as a reference for attribute data, and the attribute data itself used to support spatial or geographical information. The design of the map to be displayed in this application using Google Maps API, while the methodology in the development of this system using waterfall method that includes system analysis, system design, system implementation and testing. In making this Web-based Geographic Information System uses MySQL as database to store the required data and use PHP as the programming language. The purpose of making Geographic Information System is to help Jombang District Health Office in providing information to the community about the spread of dengue fever so that it can reduce the number of patients each year. Keywords: Google Maps, GIS, Healthy, Dengue Fever.

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