Geographic Variance in Maryland’s Potentially Preventable Emergency Visits: Comparison of Explanatory Models

2019 ◽  
Vol 42 (7) ◽  
pp. 503-513
Author(s):  
Gina C. Rowe
Keyword(s):  
Hot Spots ◽  
Urban Areas ◽  
Regression Models ◽  
Explanatory Models ◽  
Education Levels ◽  
Per Capita ◽  
Highly Correlated ◽  
Female Headed Households ◽  
B Test ◽  
Best Fit

The use of emergency departments (EDs) for potentially preventable visits is costly and inefficient. In Maryland, about 20%–30% of such visits are ambulatory care sensitive and thus potentially preventable. The uninsured are often perceived to account for a disproportionate share of such visits. This analysis aimed to (a) compare and explain the geographic variance in Maryland’s potentially preventable ED visit (PPV) rates for the total and uninsured populations and (b) test the predictive value of regression models developed. Geographic hot spots of increased PPV rates were highly correlated for uninsured and total populations, but uninsured rates were more clustered in urban areas. Poisson and geographically weighted regression (GWR) models best fit the data and predicted 40%–52% and 46% of the variance in 2009 total and uninsured rates, respectively. Significant predictors of increased PPV rates were social determinants of health: lower per capita income and education levels, and higher percentage of female-headed households.

scholarly journals Assessment of Rainwater Harvesting Potential from Roof Catchments through Clustering Analysis

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2623
Author(s):  
Rubén Villar-Navascués ◽  
Alfredo Pérez-Morales ◽  
Salvador Gil-Guirado
Keyword(s):  
Hot Spots ◽  
Clustering Analysis ◽  
Urban Areas ◽  
Supervised Classification ◽  
Rainwater Harvesting ◽  
Spatial Clustering ◽  
Runoff Coefficient ◽  
Harvesting Systems ◽  
Cold Spots ◽  
Per Capita

Rainwater harvesting from rooftop catchments represents a climate change adaptation measure that is especially significant in areas affected by water scarcity. This article develops a Geographic Information Systems-based methodology to evaluate the spatial distribution of rainwater catchment potential to identify the most favorable urban areas for the installation of these infrastructures. Since performance and water saving potential of rainwater harvesting systems greatly depends on population density and roof size, this assessment was performed for each residential plot on a per capita basis, based on cadastral data and a method of demographic disaggregation. Furthermore, to evaluate spatial variation of runoff coefficient per building, a supervised classification was carried out to consider the influence of roof types on the rainwater catchment potential. After calculating rainwater catchment potential per capita for each residential plot, the spatial clustering of high (hot spots) and low values (cold spots) was assessed through the Getis-Ord General G statistic. Results indicate a spatial pattern of high rainwater catchment potential values in low-density urban areas, where rainwater catchment systems are expected to offer a better performance and a shorter amortization period. These results may be useful for the enactment of local legislation that regulates the obligation to install these infrastructures or offers subsidies for their implementation.

Cannabis use in Switzerland: The role of attribution of drug use to friends, urbanization and repression 1The study was supported by the Swiss Federal Office of Public Health (Bundesamt für Gesundheit BAG) Grant 316.96.5980.

2001 ◽  
Vol 60 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Holger Schmid
Keyword(s):  
Drug Use ◽  
Urban Areas ◽  
Hierarchical Linear Model ◽  
Cannabis Use ◽  
School Aged Children ◽  
Structural Variables ◽  
Hbsc Study ◽  
Nationally Representative ◽  
Highly Correlated ◽  
Individual Use

Cannabis use does not show homogeneous patterns in a country. In particular, urbanization appears to influence prevalence rates, with higher rates in urban areas. A hierarchical linear model (HLM) was employed to analyze these structural influences on individuals in Switzerland. Data for this analysis were taken from the Switzerland survey of Health Behavior in School-Aged Children (HBSC) Study, the most recent survey to assess drug use in a nationally representative sample of 3473 15-year-olds. A total of 1487 male and 1620 female students indicated their cannabis use and their attributions of drug use to friends. As second level variables we included address density in the 26 Swiss Cantons as an indicator of urbanization and officially recorded offences of cannabis use in the Cantons as an indicator of repressive policy. Attribution of drug use to friends is highly correlated with cannabis use. The correlation is even more pronounced in urban Cantons. However, no association between recorded offences and cannabis use was found. The results suggest that structural variables influence individuals. Living in an urban area effects the attribution of drug use to friends. On the other hand repressive policy does not affect individual use.

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

scholarly journals Decomposition of Water Footprint of Food Consumption in Typical East Chinese Cities

2021 ◽  
Vol 13 (1) ◽  
pp. 409
Author(s):  
Ruogu Huang ◽  
Xiangyang Li ◽  
Yang Liu ◽  
Yaohao Tang ◽  
Jianyi Lin
Keyword(s):  
Food Consumption ◽  
Urban Areas ◽  
Water Footprint ◽  
Utilization Efficiency ◽  
Diet Shift ◽  
City Development ◽  
Intensity Effect ◽  
Consumption Level ◽  
Positive Effects ◽  
Per Capita

Water scarcity has put pressure on city development in China. With a particular focus on urban and rural effects, logarithmic mean Divisia index decomposition (LMDI) was used to analyze the water footprint per capita (WFP) of food consumption in five East China cities (Beijing, Tianjin, Shanghai, Qingdao, and Xiamen) from 2008 to 2018. Results show that the WFP of food consumption exhibited an upward tendency among all cities during the research period. Food consumption structure contributed the most to the WFP growth, mainly due to urban and rural residents’ diet shift toward a livestock-rich style. Except in Beijing, the food consumption level mainly inhibited the WFP growth due to the decrease in food consumption level per capita in urban areas. Urbanization had less influence on WFP growth for two megacities (Beijing and Shanghai) due to the strictly controlled urban population inflow policy and more positive effects for other cities. The water footprint intensity effect among cities was mainly due to uneven water-saving efficiency. Meanwhile, Beijing and Tianjin have achieved advancement in water utilization efficiency.

scholarly journals Prediction of Hourly Effect of Land Use on Crime

2018 ◽  
Vol 8 (1) ◽  
pp. 16 ◽  
Author(s):  
Irina Matijosaitiene ◽  
Peng Zhao ◽  
Sylvain Jaume ◽  
Joseph Gilkey Jr
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Logistic Regression ◽  
Hot Spots ◽  
Urban Areas ◽  
Prediction Models ◽  
Hot Spot ◽  
Time Range ◽  
Land Uses ◽  
Police Departments

Predicting the exact urban places where crime is most likely to occur is one of the greatest interests for Police Departments. Therefore, the goal of the research presented in this paper is to identify specific urban areas where a crime could happen in Manhattan, NY for every hour of a day. The outputs from this research are the following: (i) predicted land uses that generates the top three most committed crimes in Manhattan, by using machine learning (random forest and logistic regression), (ii) identifying the exact hours when most of the assaults are committed, together with hot spots during these hours, by applying time series and hot spot analysis, (iii) built hourly prediction models for assaults based on the land use, by deploying logistic regression. Assault, as a physical attack on someone, according to criminal law, is identified as the third most committed crime in Manhattan. Land use (residential, commercial, recreational, mixed use etc.) is assigned to every area or lot in Manhattan, determining the actual use or activities within each particular lot. While plotting assaults on the map for every hour, this investigation has identified that the hot spots where assaults occur were ‘moving’ and not confined to specific lots within Manhattan. This raises a number of questions: Why are hot spots of assaults not static in an urban environment? What makes them ‘move’—is it a particular urban pattern? Is the ‘movement’ of hot spots related to human activities during the day and night? Answering these questions helps to build the initial frame for assault prediction within every hour of a day. Knowing a specific land use vulnerability to assault during each exact hour can assist the police departments to allocate forces during those hours in risky areas. For the analysis, the study is using two datasets: a crime dataset with geographical locations of crime, date and time, and a geographic dataset about land uses with land use codes for every lot, each obtained from open databases. The study joins two datasets based on the spatial location and classifies data into 24 classes, based on the time range when the assault occurred. Machine learning methods reveal the effect of land uses on larceny, harassment and assault, the three most committed crimes in Manhattan. Finally, logistic regression provides hourly prediction models and unveils the type of land use where assaults could occur during each hour for both day and night.

Urban Homeownership and Mental Health: Mediating Effect of Perceived Sense of Control

2012 ◽  
Vol 11 (4) ◽  
pp. 409-430 ◽  
Author(s):  
Kim R. Manturuk
Keyword(s):  
Mental Health ◽  
Low Income ◽  
Urban Areas ◽  
Regression Models ◽  
Mediating Effect ◽  
Sense Of Control ◽  
Using Data ◽  
The Relationship ◽  
Subjective Trust ◽  
Control Part

What are the mechanisms responsible for homeowners’ better mental health? Social disorganization theory suggests that the relationship between homeownership and mental health is mediated by perceived sense of control, trust in neighbors, and residential stability. This hypothesis is tested using data collected from respondents in 30 low–wealth urban areas. Using propensity score matching and regression models, I find that low–income homeowners report a greater sense of control and trust in their neighbors than comparable renters. Homeownership likewise has an impact on mental health, but the effect is entirely mediated by perceived sense of control. Part of that mediating effect is related to avoiding serious delinquency in mortgage payments. However, subjective trust and residential mobility did not mediate the relationship between homeownership and mental health. The study findings are discussed in light of the need for a cohesive theory of homeownership, particularly given changing economic realities.

scholarly journals ANALISIS PENGARUH SOSIAL EKONOMI TERHADAP PENGELOLAAN SAMPAH DI SUMATERA BARAT (STUDI KASUS DAERAH PERKOTAAN)

2020 ◽  
Vol 2 (1) ◽  
pp. 107
Author(s):  
Nesyana Dewi ◽  
Melti Roza Adry
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Waste Management ◽  
Cross Section ◽  
Urban Areas ◽  
Secondary Data ◽  
Cross Section Data ◽  
Income Per Capita ◽  
Section Data ◽  
Per Capita

This study aims to determine the effect of education, income per capita, age and knowledge on waste management in urban areas West Sumatera. This study uses secondary data in the form of cross section data of urban West Sumatera. Data obtained from BPS- Susenas West Sumatera. This study uses logistic regression analysis. The result of this study indicate that (1) education has not significant effect on waste management in urban areas West Sumatera (2) income per capita has not significant effect on waste management  in urban areas West Sumatera (3) age has not significant effect on waste management in urban areas West Sumatera (4) knowledge has a significant effect on waste management in urban areas West Sumatera

scholarly journals Planning, Analysis and Design of Advanced Township at Thodupuzha in Kerala

2021 ◽  
Vol 9 (12) ◽  
pp. 1170-1188
Author(s):  
Crisbin Joseph Mathew
Keyword(s):  
Structural Analysis ◽  
Urban Areas ◽  
Rainwater Harvesting ◽  
Bending Moment ◽  
Demographic Analysis ◽  
Analysis And Design ◽  
The People ◽  
Daily Water ◽  
Per Capita ◽  
Proper Disposal

Abstract: Due to the rise in population and increase in urbanisation levels in our country, most of the settlements are in urban areas. As the cities that already existing are heavily populated along with a great deal of limitations in the infrastructure, emergence of an advanced township away from the vicinity of these overpopulated urban areas offer safer and better accommodation for the people. The planning and layout of the project is shown using autoCAD and for the structural analysis we use STADD Pro V.18i. Demographic analysis is done among specific clientele. Development of roof top rainwater harvesting(sump)has been carried out in order to provide source of water for the whole population of the township. Use of intze tank which is a circular overhead tank to meet the daily water requirement of the population inside the township.For the proper disposal and processing of the waste generated, almost 30 acres of land is being used to hold the per capita waste generated which managed after calculating factors like total waste generated, estimated landfill, total area required for land etc. The salient features a major advantages of this township is discussed in detail. Keywords: IS - Indian Standard BM - Bending Moment BIS - Bureau of Indian Standards cm - CentiMeters mm - MilliMeters m - Meter C - Celsius

scholarly journals Parking System for Smart Cities

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3535-3538
Keyword(s):  
Urban Areas ◽  
Traffic Management ◽  
Smart Cities ◽  
High Tech ◽  
World Population ◽  
Public Places ◽  
Contemporary World ◽  
Shopping Centre ◽  
The Government ◽  
Best Fit

As we know due to increase in world population there is an increase in problems related to locomotive management, especially in urban areas. Being in contemporary world everyone faces a lot of problems every mundane morning with the traffic , which is inexorable. Even if the government becomes prodigal enough to spend on traffic management, it will not solve this problem easily. So the best solution to solve this is to solve the horrendous parking problem. Parking solution proposed by us is easy to implement. In this we have used sensors like IR sensor, RFID sensor to find vacant parking slot available. Here the driver can find the vacant slot using an application on mobile. This solution saves time and cost also it is tangible, flexible and also caters security. The application of our proposed system is best fit for places like shopping centre, High-tech business areas , public places etc

scholarly journals The Influence Of Mother’s Motivation And Preferences On Fish Consumption Behavior In Rural And Urban Families

2018 ◽  
Vol 3 (1) ◽  
pp. 39 ◽  
Author(s):  
Ririn Purnama Sari ◽  
Istiqlaliyah Muflikhati
Keyword(s):  
Family Size ◽  
Fish Consumption ◽  
Urban Areas ◽  
Capita Income ◽  
Linear Regression Analysis ◽  
Urban Families ◽  
Per Capita Income ◽  
Consumption Behavior ◽  
Rural And Urban ◽  
Per Capita

<pre>The aims of this study is to analyze the differences and the effects of mother’s motivation and preference on behavior of fish consumption in families in rural and urban areas. The research design which used was cross sectional study with purposive location selection in Duwet Village, Pekalongan Regency, and Kandang Panjang, Pekalongan City. The sample in this study is 100 families consisted of 50 families in rural areas and 50 families in urban areas. The results show that urban families prefer fresh sea fish, while rural families prefer pindang fish. The result of multiple linear regression analysis showed that factors affecting the fish consumption behavior of rural family is family size, and per capita income, while fish consumption behavior of urban family  influenced by family size, per capita income, and preference.</pre>

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