Mapping the spatial distribution of air and water pollutants in Kolleru Lake, India using geographical information systems (GIS)

2004 ◽  
Vol 15 (6) ◽  
pp. 584-607 ◽  
Author(s):  
Sreenivasa Rao Amaraneni ◽  
Sarnam Singh ◽  
P.K. Joshi
Keyword(s):  
Spatial Distribution ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Water Pollutants

scholarly journals Pemetaan Sebaran Daerah Asal Mahasiswa Universitas Negeri Manado Berbasis Sistem Informasi Geografis

2020 ◽  
Vol 1 (3) ◽  
pp. 1
Author(s):  
Nikel Tambengi ◽  
Joyce Christian Kumaat
Keyword(s):  
Information System ◽  
Spatial Distribution ◽  
Information Systems ◽  
Spatial Analysis ◽  
Geographical Information Systems ◽  
Geographic Location ◽  
Geographical Information ◽  
Distribution Data ◽  
Present Information ◽  
Area Of Origin

The need for information regarding the spatial distribution of the area of origin of students who are currently studying at the Manado State University (UNIMA) is very important because the information built can provide useful input for planning, development, or evaluation. So that the distribution of the areas of origin of students who are studying at UNIMA can be mapped properly, an information system based on Geographical Information Systems (GIS) can be built according to its geographic location. This study aims to create and present information about the spatial distribution of students from UNIMA through GIS. Quantitative type research methods with a spatial analysis approach (spatial analysis) using secondary data. Data analysis techniques through Geographical Information Systems (GIS) to create a digital map of the spatial distribution of student origin using OpenStreetMap and Quantum GIS Zanzibar 3.8.1. The results showed that the spatial distribution of the area from which UNIMA students used GIS, made it easier to present information through digital maps. The information system created can display the distribution data of the student's area of origin, namely the number of students from each province in Indonesia and especially in the form of a distribution map. The largest distribution of student origin came from North Sumatra Province with 1,209, followed by South Sulawesi Province with 893 and North Maluku Province with 650 students.

scholarly journals Spatial modeling of the spread of scabies and environmental sanitation as a risk factor among schoolchildren: a case-control study

2020 ◽  
Vol 39 (1) ◽  
pp. 55
Author(s):  
Yudhi Wibowo ◽  
Nendyah Roestijawati ◽  
Dyah Krisnansari ◽  
Agoes Y Purnomo
Keyword(s):  
Risk Factors ◽  
Spatial Distribution ◽  
Information Systems ◽  
Spatial Modeling ◽  
Geographical Information Systems ◽  
Case Control ◽  
Geographical Information ◽  
World Health ◽  
Environmental Sanitation ◽  
Skin Contact

BACKGROUND <br />Scabies is a World Health Organization neglected tropical disease common in children in low-and middle-income countries. The prevalence of scabies, especially in tropical countries, is still quite high at more than 200 million cases per year. Transmission of scabies is predominantly via skin-to-skin contact. The purpose of the study was to determine the epidemiology of clinical scabies among schoolchildren and spatial modeling using geographic information systems (GIS).<br /><br />METHODS<br />A study of unmatched case-control design with a ratio of 1: 1 was performed to identify specific risk factors of scabies. Cases were patients with clinical scabies and controls were healthy people in the area. A total of 100 students were involved in the study. Simple and multiple logistic regression was used to test any association between the variables. Geographical Information Systems (GIS) modeling was used to determine the spatial distribution of clinical scabies based on 69 cases.<br /><br />RESULT<br />There was a significant association between the level of environmental sanitation and the prevalence of clinical scabies (OR = 2.53;95% C.I. 1.11-5.74). Multivariate analysis showed that the level of environmental sanitation was significant (AOR = 3.05;95% C.I. 1.19-7.81). Risk factors for developing clinical scabies increased to 3 times after considering other risk factors, namely gender, age group and respondent education level. Analysis of average nearest neighbor distance showed that the spatial distribution of clinical scabies was clustered. <br /><br />CONCLUSIONS<br />The distribution of clinical scabies was spatial clustering, and prediction of transmission in a clockwise direction with Southeast and Northwest ellipses.

PROBLEMATIC ISSUES OF THE GEOGRAPHIC INFORMATION SYSTEMS USE IN SOCIO-HYGIENIC MONITORING AND RISK-BASED SUPERVISION

2019 ◽  
pp. 31-36 ◽  
Author(s):  
Е.М. Studenikina ◽  
Yu.I. Stepkin ◽  
O.V. Klepikov ◽  
I.V. Kolnet ◽  
L.V. Popova
Keyword(s):  
Information Systems ◽  
Technology Implementation ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Electronic Library ◽  
Information Portal ◽  
Software Products ◽  
Stage Of Development ◽  
Software Product ◽  
Information Systems Use

The paper considers the problematic issues of the geographical information systems (GIS) use in the sociohygienic monitoring (SHM). We analyzed scientific and practical publications on this subject that are freely available on the largest Russian information portal of scientific electronic library eLIBRARY.RU during 2014- 2018, which allowed us to formulate the principles of organization and requirements for effective operation of geographic and information systems in the socio-hygienic monitoring. An analysis of the implementation of these principles at the present stage of development for the socio-hygienic monitoring system is presented, the results of which were used in formulating priority tasks in the area of geographic and information technology implementation into socio-hygienic monitoring and risk-based planning of control and supervisory measures: to determine the necessary level of detail and an information list depicted on electronic maps for the implementation of risk-based control planning; to provide organizational and regulatory and methodological support for the hierarchical principle of GIS within Rospotrebnadzor operating on a single software product of domestic developers for organizations and institutions; to work out the need to combine GIS with similar systems of other departments involved in the data collection of social and hygienic monitoring (Rosstat, Roshydromet, Rosprirodnadzor, Ministry of Health, etc.) to enable automated data export and import; to solve staffing issues to ensure customization and subsequent GIS operation; to provide budget funding for the purchase of licensed software products for GIS in SHM, preferably of Russian developers.

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