Correlation Between Settlement Environmental Quality and Acute Respiratory Infection (ARI) Disease of Gayamsari Sub-District, Semarang

2021 ◽  
Vol 8 (1) ◽  
pp. 51-60
Author(s):  
Ary Mandhara Putra ◽  
Bitta Pigawati
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Respiratory Infection ◽  
Environmental Quality ◽  
Acute Respiratory Infection ◽  
High Population Density ◽  
Remote Sensing Technique ◽  
Spatial Approach ◽  
Quantitative Descriptive

Settlement area with high population density and situated in unfeasible location cause the quality of settlement environment to be low. The low quality of settlement environment has the potential to cause Acute Respiratory Infection (ARI). This study aimed to explain the correlation of settlement environmental quality and incidence of ARI disease in Gayamsari Sub-District, Semarang. This research used a quantitative descriptive spatial approach by using remote sensing technique and Geographic Information System (GIS).  The result showed that there is a high and significant correlation between settlement environmental quality and acute respiratory infection (ARI) Incidence, especially happened in Kaligawe and Tambakrejo village.

scholarly journals KUALITAS LINGKUNGAN PERMUKIMAN KAWASAN INDUSTRI DI KECAMATAN GENUK KOTA SEMARANG

2018 ◽  
Vol 21 (1) ◽  
pp. 192
Author(s):  
Septi Ayuningtyas ◽  
Bitta Pigawati
Keyword(s):  
Remote Sensing ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Analytical Techniques ◽  
Variable Density ◽  
Public Works ◽  
Weighted Overlay ◽  
Spatial Approach ◽  
The Face

The increase in the number and activity of the population implies increasing the area woke up, especially for the neighborhood. There are a variety of different settlement environment character in the suburban area of Semarang. The existence of settlements in district Genuk which is in the industry and affected rob feared decline of environmental quality neighborhoods. There are still many residents living in the northern part of Kecamatan Genuk flooded rob and decline the face of the land. The condition can have implications for environmental degradation in neighborhoods in district Genuk.Research on environmental quality neighborhoods in district Genuk aims to analyze the changes in environmental quality neighborhoods, using a spatial approach to the method of remote sensing and Geographic Information System (GIS). Analytical techniques weighted overlay using the variable density of settlements, the layout of the buildings, the condition of the wide driveway, driveway, tree protectors, the location of settlements and the quality of the roof of the building refers to the assessment of the Department of public works. Results show that for 10 years of environmental degradation has occurred in district neighborhoods Genuk, namely in Sembungharjo Village and Genuksari Village. This occurs due to the increased density of settlements and the decline of the tree protectors.

scholarly journals Study of Transportation Movement Generation in Bandung City by using QuickBird Imagery Remote Sensing and Geographic Information System

2013 ◽  
Vol 27 (1) ◽  
pp. 69
Author(s):  
Lili Somantri
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information Systems ◽  
Descriptive Analysis ◽  
Geographic Information ◽  
Quantitative Descriptive Analysis ◽  
Greatest Generation ◽  
Spatial Approach ◽  
Quantitative Descriptive

The objective of this study is to examine the transport movement generation in Bandung City by using QuickBird imagery remote sensing and Geographic Information Systems. The method used in this research is spatial approach by quantitative descriptive analysis. It resulted that the greatest movement generation come from the regular housing types of 3440 people per hour. The District with the greatest generation was Sub Ujungberung, i.e. 55,501 people per hour, whereas the highway with the greatest amount of generation is Soekarno-Hatta Street of 51,014 people per hour.

Clinical efficacy of the drug 200 mg silver proteinate in the complex therapy of acute infectious rhinitis in children, which occurred as part of an acute respiratory infection

2021 ◽  
Vol 20 (4) ◽  
pp. 88-95
Author(s):  
A. B. Kiselev ◽  
◽  
Kh. T. Abdulkerimov ◽  
N. E. Terskova ◽  
V. A. Chaukina ◽  
...  
Keyword(s):  
Comparative Study ◽  
Pharmaceutical Company ◽  
Respiratory Infection ◽  
Nasal Spray ◽  
Clinical Efficacy ◽  
Acute Respiratory Infection ◽  
Quality Of Treatment ◽  
Complex Therapy

The effectiveness of pharmacotherapy of acute infectious rhinitis in children by means of drugs from the list of medicines of the J00 Standard and in addition to this pharmacotherapy with the drug silver proteinate – 200 mg nasal spray Sialor® (manufacturer of JSC «Production Pharmaceutical Company “Obnovlenie”, Russia) was evaluated in a multicenter randomized comparative study. A higher quality of treatment was demonstrated when using 200 mg silver proteinate (Sialor®) in the form of a nasal spray in complex therapy. The article presents evidence of the feasibility of including the drug 200 mg silver proteinate in the list of medicines of the J00 Standard.

scholarly journals Spatial Modeling of Environmental Quality Change Based on Geographic Information System

2021 ◽  
Vol 887 (1) ◽  
pp. 012016
Author(s):  
I. G. Wiratmaja ◽  
A. W. Sejati
Keyword(s):  
Information System ◽  
Environmental Quality ◽  
Principal Component ◽  
Geographical Information ◽  
Vegetation Density ◽  
Quality Change ◽  
Ecological Index ◽  
Raster Calculator ◽  
Coastal Land

Abstract A coastal area is prone to decrease of environmental quality due to coastal land abrasion and inundation/tidal flood. Several studies have shown that the coastline of Sayung District, Demak Regency, is moving toward the mainland for 6.8 mm/year and the surrounding area is experiencing land subsidence for 5-7 cm/year. These phenomena have consequences to the environmental quality in the area. In this case, this research aims to develop a spatial model using a Geographical Information System (GIS) in describing and predicting changes of environmental quality in Sayung District, Demak Regency. Four variables in a Risk-Screening Ecological Index (RSEI) approach, namely (1) vegetation density, (2) soil moisture, (3) soil quality, and (4) built space and surface temperature were used as indicators of the environmental quality. A raster calculator and Spatial Principal Component Analysis (SPCA) were then used to calculate total value of the environmental quality. This research results that the environmental quality of the study area is decreasing which indicated by the RSEI value of 0.614 (1999), 0.4749 (2009), and 0.3933 (2019). The environmental quality in the study area is also worsened by waterbody expansion.

Longitudinal study of quality of life among children with acute respiratory infection and cough

2018 ◽  
Vol 27 (4) ◽  
pp. 891-903 ◽  
Author(s):  
Yolanda G. Lovie-Toon ◽  
Anne B. Chang ◽  
Peter A. Newcombe ◽  
Dimitrios Vagenas ◽  
Sophie Anderson-James ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Longitudinal Study ◽  
Respiratory Infection ◽  
Acute Respiratory Infection

scholarly journals Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index

2020 ◽  
Vol 12 (15) ◽  
pp. 2462
Author(s):  
Weihua Liao ◽  
Weiguo Jiang
Keyword(s):  
Remote Sensing ◽  
Environmental Quality ◽  
Eastern China ◽  
Continuous Process ◽  
Western China ◽  
Environmental Damage ◽  
Ecological Index ◽  
Computing Platform ◽  
The Status

The eco-environment is dynamic and shows a continuous process of long-term change. It is helpful for policymakers to know the status of the regional eco-environment through accurate evaluations of the history and current situation of the regional eco-environment. The remote sensing ecological index (RSEI) model of China was established in this study by using four indexes: wetness, greenness, dryness, and heat. Knowledge granulation of the RSEIs were carried out, and a method to determine the weights of the knowledge granulation entropy of the indexes based on their characteristics was proposed. This study used Moderate Resolution Image Spectroradiometer (MODIS) data from the Google Cloud Computing Platform to study and calculate the eco-environmental quality of China from 2000–2017. The overall eco-environmental quality in China tended to improve from 2000–2017, although there were large areas of ecological degradation from 2009–2014. The eco-environment of eastern China was better than that of western China. Most of the national ecological areas were third-level ecological areas, which had moderate environmental quality. Dryness was the most important factor affecting the quality of the eco-environment, followed by greenness, which reflected the increasing environmental damage caused by human activities in China in recent years.

scholarly journals REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 733-737
Author(s):  
X. Niu ◽  
Y. Li
Keyword(s):  
Remote Sensing ◽  
Urban Area ◽  
Environmental Quality ◽  
Ecological Environment ◽  
Mountainous Area ◽  
Ecological Change ◽  
Ecological Quality ◽  
Ecological Index ◽  
Use Of Resources

Abstract. Figuring out the regional ecological environment quality and ecological change is critical for ecological environment monitoring and management and urban construction planning. Based on the remote sensing ecological index (RESI), we evaluate the ecological quality and ecological change from 1999 to 2019 of Anqing city. Multi-temporal Landsat images are used to extract the four indicators of humidity, vegetation, heat and dryness, respectively. Then the RSEI is calculated by principal component analysis. The results show that the ecological quality of Anqing city declined from 1999 to 2019 and then grew slowly from 2009 to 2019. The eco-environmental quality of Anqing city dropped slightly from 1999 to 2019, and the regions with worse quality grades exceeded those becoming better. Particularly, we find that from 1999 to 2009, the area where the ecological quality became better made up 18.31% of the urban area, while the worse ecological area accounted for 29.68% of the urban area; from 2009 to 2019, the area of improved ecological environment reached 24.35%, while the area of degraded quality constituted 41.36%. Land-use changes dominated eco-environmental quality. The areas of poor eco-environmental quality expanded in residential regions and eco-environmental quality of mountainous area improved since returning cultivated land in steep hills into forest. The RSEI results are expected to provide a quantitative foundation for planning sustainable development and the rational use of resources in Anqing city.

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