scholarly journals Reproducibility of Research During COVID‐19: Examining the Case of Population Density and the Basic Reproductive Rate from the Perspective of Spatial Analysis

2021 ◽  
Author(s):  
Antonio Paez
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Reproductive Rate

scholarly journals Spatial Analysis of Childhood Tuberculosis and Social Determinants in Bandar Lampung

2020 ◽  
Vol 202 ◽  
pp. 12006
Author(s):  
Dyah Wulan Sumekar Rengganis Wardani ◽  
Endro Prasetyo Wahono
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Social Determinants ◽  
Community Health Centers ◽  
Secondary Data ◽  
Cross Sectional Study ◽  
Childhood Tuberculosis ◽  
Cross Sectional ◽  
Control Programs ◽  
Childhood Tb

Childhood tuberculosis is an overlooked aspect of the current tuberculosis epidemics; even the incidence is increasing and may influence children's growth and development. Several researches have studied social determinants as TB risk factors, but only a few researches have studied spatial analysis of childhood tuberculosis and social determinants. This research aimed to study spatial analysis of childhood TB and social determinants in Bandar Lampung, Indonesia. This research was cross sectional study which involved five community health centers that have childhood TB cases. Population of this research was all childhood tuberculosis cases in the study site. Sample of this research was 73 cases. Variables of this research were samples’ residence geographical coordinates and social determinants (population density and proportion of poor family) of the related sub districts. Data was collected through CHSs’ and sub districts’ secondary data which then analyzed using overlay spatial analysis. The results showed that childhood TB tend to group in middle to high population density and middle proportion of poor families areas. Therefore, regarding in reducing childhood TB incidence, TB control programs should elaborate social determinants actions in areas with low social determinants.

scholarly journals Spatial analysis of dengue hemorrhagic fever in Talaud Islands regency

2020 ◽  
Vol 8 (1) ◽  
pp. 104
Author(s):  
Chreisye K. F. Mandagi ◽  
Angela F. C. Kalesaran ◽  
Febi K. Kolibu
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Dengue Hemorrhagic Fever ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Spatial Description ◽  
District Health ◽  
Study Approach ◽  
Spatial Risk ◽  
Risk Areas

Background: The number of dengue hemorrhagic fever (DHF) cases in Indonesia from January to February 2016 was 8,487 with 108 deaths. DHF is an infectious disease that continues to increase from 2014 until 2016 in Manado city. DHF cases in Talaud Islands Regency from 2014 to 2016 were 143 cases. Regional spatial analysis would simplify the distribution of DHF cases in high-risk areas. To be aware of the DHF outbreak cycle, it is necessary to model spatial risk factors based on geographic information systems (GIS) to tackle and eradicate DHF cases by region.Methods: This study aimed to analyze the spread of DHF in Talaud regency based on age, sex, population density and area height. The design of this research is qualitative analytic by using an ecological study approach. The research scope was 19 districts in Talaud regency. Secondary data are used which consists of case number, age, sex, population density, and area height taken from the Talaud district health office with 66 DHF cases in 2018-2019 and analyzed using the GIS approach through spatial analysis.Results: Based on the number of DHF cases that is most in the age group of 5-11 years. Male gender is more likely to suffer from DHF than female. Spatial description of the condition of the altitude in the Talaud Islands regency at risk of suffering from DHF is>50 meters above sea level. Spatial description of population density with most DHF cases is not densely populated area with less than 1,620 inhabitants per km.Conclusions: The health office of Talaud islands regency needs to actively promote health by providing information about eradicating mosquitoes.

scholarly journals The effect of population density upon rate of reproduction with special reference to insects

1932 ◽  
Vol 111 (773) ◽  
pp. 437-454 ◽  
Keyword(s):  
Population Density ◽  
Death Rate ◽  
Human Population ◽  
Previous Investigation ◽  
Reproductive Rate ◽  
Small Cell ◽  
Harvard University ◽  
Population Increase ◽  
Modern Biology ◽  
The Individual

As the result of a previous investigation, involving the analysis of environmental factors controlling population increase in nature, it became apparent to the writer that population density constituted an environmental factor which had been comparatively neglected, doubtless on account of its obscurity, but whose effects were nevertheless of greater significance than generally realised. It seemed desirable, therefore, that this relatively obscure phenomenon should be investigated, and the writer commenced work at the Laboratory of General Physiology, Harvard University, U. S. A. It has long been known that crowding of animals produces definite and peculiar effects on the various vital processes, and even the morphology of the individual. For instance, as far back as 1854, Hogg produced evidence to show that a snail kept in a small cell would only grow to such a size as would enable it to move about freely. Later, Semper (1874) came to the conclusion that there was a relationship between volume and the ultimate size of the individual. As regards the effect of crowding upon reproductive rate the first observation appears to have been made by Balbiani (1860), who reported that Paramecium must be placed in not less than 2-3 c. c. of medium to bring about maximum productivity. Again, Farr (1843) showed that there existed a definite relationship between the density of the human population and the death-rate, and anticipated the trend of modern biology to the extent of elaborating a mathematical formula which conformed to his findings.

scholarly journals Analisis Spasial Kejadian DBD di Wilayah Kerja Puskesmas Oesapa Tahun 2019

2019 ◽  
Vol 1 (4) ◽  
pp. 150-156
Author(s):  
Yohanes A. W. Ximenes ◽  
Imelda F. E. Manurung ◽  
Yuliana R. Riwu
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Health Center ◽  
Disease Transmission ◽  
Intervention Program ◽  
Disease Spread ◽  
Risk Area ◽  
Dengue Disease ◽  
Dengue Transmission ◽  
Work Area

 Oesapa Health Center is a health center that has the highest number of dengue cases in Kupang City in 2019 and spread throughout the Puskesmas working area. Regional-based disease management analysis techniques using spatial analysis can be used to facilitate the determination of the DHF problem solving intervention program. Spatial analysis is used to determine the pattern of disease spread and potential areas of dengue transmission based on area. The purpose of this study was to determine the pattern of dengue delivery, the spread of dengue incidence based on population density, the House Index and Container Index and the buffer. This type of research is a descriptive survey with a case study design. The sampling technique used total sampling with 98 people. The results of spatial analysis using Quantum GIS show the distribution pattern of dengue incidence with Clustered pattern with NNI value of 0,60 <1, the entire work area of Oesapa Health Center is included in the category of high population density, House Index and Container Index with the highest incidence of DHF in Oesapa and Lasiana Subdistrict and buffer analysis shows the tendency of dengue disease transmission in most cases to occur within a 100 meter radius, so the Oesapa Community Health Center work area is a high risk area for dengue transmission. Mosquito Nest Eradication Activities can be carried out by the community to prevent the spread of dengue disease.

scholarly journals Spatial analysis of dumpsites volumes from rural territory Case study: Neamt County, Romania

2016 ◽  
Author(s):  
Florin Constantin MIHAI
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Waste Management ◽  
Local Level ◽  
Environmental Policies ◽  
Local Scale ◽  
Local Communities ◽  
Environmental Implications ◽  
Proper Analysis

Open dumps were the main option for the local communities in householdwaste management, this practice being banned after July 16, 2009. The paperexamines the correlation between dumpsites volumes, population density, andlocal geographical conditions in the context that in most ruraladministrative-territorial units of the county there were no facilities forwaste collection. The geographical distribution of dumpsites volumesreflects the disparities between different areas of the county and on theother hand, it highlights the spaces exposed to pollution. Also, thecomparative analysis between 2004 (pre-accession) and 2009 (post-accession)reflects a rudimentary waste management system in this period which favoredthe waste dumping. This paper analyses the issues of rural waste managementand its environmental implications at local scale. Such approaches arenecessary for a proper analysis of EU environmental policies implementationat regional and local level

scholarly journals Evaluation of Personal and Built Environment Attributes to Physical Activity: A Multilevel Analysis on Multiple Population-Based Data Sources

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Wei Yang ◽  
Karen Spears ◽  
Fan Zhang ◽  
Wai Lee ◽  
Heidi L. Himler
Keyword(s):  
Physical Activity ◽  
Air Quality ◽  
Spatial Analysis ◽  
Population Density ◽  
Built Environment ◽  
Data Sources ◽  
Environment Factors ◽  
Multiple Data ◽  
Commute Time ◽  
Level Data

Background. Studies have documented that built environment factors potentially promote or impede leisure time physical activity (LTPA). This study explored the relationship between multiple built environment factors and individual characteristics on LTPA.Methods. Multiple data sources were utilized including individual level data for health behaviors and health status from the Nevada Behavioral Risk Factor Surveillance System (BRFSS) and community level data from different data sources including indicators for recreation facilities, safety, air quality, commute time, urbanization, population density, and land mix level. Mixed model logistic regression and geographic information system (GIS) spatial analysis were conducted.Results. Among 6,311 respondents, 24.4% reported no LTPA engagement during the past 30 days. No engagement in LTPA was significantly associated with (1) individual factors: older age, less education, lower income, being obesity, and low life satisfaction and (2) community factors: more commute time, higher crime rate, urban residence, higher population density, but not for density and distance to recreation facilities, air quality, and land mix.Conclusions. Multiple data systems including complex population survey and spatial analysis are valuable tools on health and built environment studies.

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