County Population

2022 ◽  
pp. 94-95
Keyword(s):  
County Population

scholarly journals Healthcare use prior to suicide in the Stockholm County population 2011-2016

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
J Narusyte ◽  
K Kosidou ◽  
C Dalman
Keyword(s):  
Age Groups ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Healthcare Use ◽  
Stockholm County ◽  
Suicide Death ◽  
Death Registry ◽  
County Population ◽  
Study Population ◽  
One Year

Abstract Background Suicide is a major public health problem. A detailed description of healthcare use prior to suicide can serve to improve prevention strategies. The aim of the study was to describe the patterns of primary, specialized outpatient, and inpatient healthcare use from two weeks and up to one year prior to suicide in Stockholm County. Methods The study population included all 15 year or older suicide victims who died in Stockholm County 2011-2016 (n = 1950) identified through National Cause of Death Registry. Data on number of visits and contacts with healthcare among suicide victims were obtained from VAL healthcare use registry in Stockholm County. Healthcare use was depicted from one year to up to two weeks prior to suicide death. Results Preliminary results showed that there were 65% and 57% of women and men, respectively, who had at least one contact with healthcare during the last two weeks before suicide death. Measured one year prior to suicide, there were 93% of women and 85% of men who had at least one contact with healthcare. Among those who had at least one contact with healthcare two weeks prior to suicide, there were 16% of women and 12% of men who were hospitalized, 55% of women and 47% of men who had a contact with specialized outpatient care, and 32% of women and 27% of men who had a contact with primary healthcare. The proportion of those who did not have any contact with healthcare during the six months prior to suicide decreased gradually with increasing age among men (23% at ages of 15-24 years old and 7% at ages of 65 and older). There were on average 7% of women in all age groups who did not have any contact with healthcare during the six months prior to suicide. Conclusions The majority of the suicide victims had a contact with healthcare during the last year prior to suicide death. The findings suggest that suicide prevention efforts may target improved tools for clinically-based risk assessment. Key messages The majority of the suicide victims had at least one contact with healthcare during the last year prior to suicide death. Those who did not have any contact with healthcare during six months prior to suicide were more likely to be young men.

scholarly journals Assessing COVID-19 Risk, Vulnerability and Infection Prevalence in Communities

2020 ◽  
Author(s):  
Amin Kiaghadi ◽  
Hanadi S. Rifai ◽  
Winston Liaw
Keyword(s):  
Health Care Systems ◽  
Principal Component ◽  
The United States ◽  
Infection Prevalence ◽  
Planning Tool ◽  
Harris County ◽  
Census Tracts ◽  
Medical Interventions ◽  
County Population ◽  
Care Systems

AbstractBackgroundThe spread of coronavirus in the United States with nearly one million confirmed cases and over 53,000 deaths has strained public health and health care systems. While many have focused on clinical outcomes, less attention has been paid to vulnerability and risk of infection. In this study, we developed a planning tool that examines factors that affect vulnerability to COVID-19.MethodsAcross 46 variables, we defined five broad categories: 1) access to medical, 2) underlying health conditions, 3) environmental exposures, 4) vulnerability to natural disasters, and 5) sociodemographic, behavioral, and lifestyle factors. We also used reported rates for morbidity, hospitalization, and mortality in other regions to estimate risk at the county (Harris County) and census tract levels.AnalysisA principal component analysis was undertaken to reduce the dimensions. Then, to identify vulnerable census tracts, we conducted rank-based exceedance and K-means cluster analyses.ResultsOur study showed a total of 722,357 (~17% of the County population) people, including 171,403 between the ages of 45-65 (~4% of County’s population), and 76,719 seniors (~2% of County population), are at a higher risk based on the aforementioned categories. The exceedance and K-means cluster analysis demonstrated that census tracts in the northeastern, eastern, southeastern and northwestern regions of the county are at highest risk. The results of age-based estimations of hospitalization rates showed the western part of the County might be in greater need of hospital beds. However, cross-referencing the vulnerability model with the estimation of potential hospitalized patients showed that part of the County has the least access to medical facilities.ConclusionPolicy makers can use this planning tool to identify neighborhoods at high risk for becoming hot spots; efficiently match community resources with needs, and ensure that the most vulnerable have access to equipment, personnel, and medical interventions.

Sea-level rise and sub-county population projections in coastal Georgia

2015 ◽  
Vol 37 (1) ◽  
pp. 44-62 ◽  
Author(s):  
Mathew E. Hauer ◽  
Jason M. Evans ◽  
Clark R. Alexander
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Population Projections ◽  
County Population

scholarly journals NWS Tornado Warnings with Zero or Negative Lead Times

2009 ◽  
Vol 24 (1) ◽  
pp. 140-154 ◽  
Author(s):  
J. Brotzge ◽  
S. Erickson
Keyword(s):  
Population Density ◽  
Lead Time ◽  
Large Scale ◽  
Weather Forecast ◽  
Sociological Factors ◽  
Tornado Warnings ◽  
County Population ◽  
Tornado Warning ◽  
Tornado Event ◽  
Difficult Challenge

Abstract During a 5-yr period of study from 2000 to 2004, slightly more than 10% of all National Weather Service (NWS) tornado warnings were issued either simultaneously as the tornado formed (i.e., with zero lead time) or minutes after initial tornado formation but prior to tornado dissipation (i.e., with “negative” lead time). This study examines why these tornadoes were not warned in advance, and what climate, storm morphology, and sociological factors may have played a role in delaying the issuance of the warning. This dataset of zero and negative lead time warnings are sorted by their F-scale ratings, geographically by region and weather forecast office (WFO), hour of the day, month of the year, tornado-to-radar distance, county population density, and number of tornadoes by day, hour, and order of occurrence. Two key results from this study are (i) providing advance warning on the first tornado of the day remains a difficult challenge and (ii) the more isolated the tornado event, the less likelihood that an advance warning is provided. WFOs that experience many large-scale outbreaks have a lower proportion of warnings with negative lead time than WFOs that experience many more isolated, one-tornado or two-tornado warning days. Monthly and geographic trends in lead time are directly impacted by the number of multiple tornado events. Except for a few isolated cases, the impacts of tornado-to-radar distance, county population density, and storm morphology did not have a significant impact on negative lead-time warnings.

scholarly journals Truck and Multivehicle Truck Accidents with Injuries Near Colorado Oil and Gas Operations

2018 ◽  
Vol 15 (9) ◽  
pp. 1861 ◽  
Author(s):  
Benjamin Blair ◽  
John Hughes ◽  
William Allshouse ◽  
Lisa McKenzie ◽  
John Adgate
Keyword(s):  
Traffic Accidents ◽  
Oil And Gas ◽  
Count Models ◽  
Independent Variables ◽  
The People ◽  
Truck Accidents ◽  
County Population ◽  
Capita Rate ◽  
Oil And Gas Operations ◽  
Conventional Oil

Unconventional and conventional oil and gas (O&G) operations raise public health concerns, such as the potential impacts from trucking activity in communities that host these operations. In this work, we used two approaches to evaluate accidents in relation to O&G activities in the State of Colorado. First, we calculated the rate of truck accidents by computing the ratio of accident count and county population. When comparing counties with increased O&G operations to counties with less activity, we found that counties with more activity have greater rates of truck traffic accidents per capita (Rate Ratio = 1.07, p < 0.05, 95% CI: 1.01–1.13). Second, we laid a grid over the eleven counties of interest and counted, for each cell, the number of truck accidents, the number of multivehicle accidents with injuries, the number of homes, and the number of O&G wells. We then applied hurdle count models, using the accident counts as the outcomes and the number of homes and number of wells as independent variables. We found that both independent variables are significant predictors of truck accidents and multivehicle truck accidents. These accidents are of concern since they can have an impact on the people who live near O&G operations.

scholarly journals Is Urbanization Good for the Climate? A Cross-County Analysis of Impervious Surface, Affluence, and the Carbon Intensity of Well-Being

2020 ◽  
Vol 6 ◽  
pp. 237802311989689 ◽  
Author(s):  
Patrick Trent Greiner ◽  
Daniel A. Shtob ◽  
Jordan Fox Besek
Keyword(s):  
Population Density ◽  
Urban Space ◽  
Well Being ◽  
Impervious Surface ◽  
Random Coefficients ◽  
Carbon Intensity ◽  
Median Income ◽  
Industrial Emissions ◽  
County Population ◽  
Social Settlement

We contribute to literature exploring the socioecological impact of urban development as a multidimensional project, one in which changes to landscape features complement changes in demographic and administrative measures to co-constitute the socioecological impact of urbanity. We use a random coefficients modeling approach to examine U.S. relationships between the intensity of impervious surface within a county, population density in impervious areas, and carbon intensity of well-being (CIWB)—here constructed using industrial emissions. We then explore the moderating association that another component of social settlement patterns, household median income, has on the impervious surface–population density–CIWB nexus. Findings suggest that landscapes featuring greater development of impervious surface are associated with increased CIWB. Further exploration indicates that income acts to attenuate the association of urban space and CIWB. Ultimately, we argue that such attenuation indicates that more affluent areas are able to shift production-based processes associated with urban forms to less affluent areas.

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