scholarly journals Wider Action Plan and Multidisciplinar Approach Could Be a Wining Idea in Creation of Friendly Environment

2012 ◽  
Vol 2012 ◽  
pp. 1-7
Author(s):  
Natasa Gojkovic-Bukvic ◽  
Nenad Bukvic
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Performance Indicators ◽  
Action Plan ◽  
Phenotypic Expression ◽  
Population Level ◽  
Health Science ◽  
Genomic Variation ◽  
Supportive Environment ◽  
Environmental Health Science

Herein, we proposed planning of wide transdisciplinary actions, which bring a solution for economic activity such as transportation, strongly related to pollution output with possible repercussions on climate change and public health. To solve logistics problem by introduction of common intermodal policy, and creation of more friendly transport solution, it is possible to obtain sustainable development, climate change prevention, government policy, and regulation which are all related to human health and creation of health-supportive environment. This approach permits environmental and biological monitoring same as economic results measurement by key performance indicators. This approach implementing emerging scientific knowledge in environmental health science such as genetic epidemiology aimed at understanding how genomic variation impacts phenotypic expression and how genes interact with the environment at the population level with subsequent translation into practical information for clinicians as well as for public health policy creation.

scholarly journals Psychological Aspects of Tobacco Control

2017 ◽  
Author(s):  
Jennifer McGowan ◽  
Lion Shahab
Keyword(s):  
Public Health ◽  
Tobacco Control ◽  
Tobacco Use ◽  
Population Level ◽  
Social Pressure ◽  
Health Science ◽  
Morbidity And Mortality ◽  
Personality Factors ◽  
Tobacco Products ◽  
The Cost

Worldwide, tobacco use is a leading cause of morbidity and mortality. However, the health effects of smoking are reversible, making smoking cessation an important target for public health policy. Tobacco control is a field of public health science dedicated to reducing tobacco use and, thereby, to reducing cigarette-related morbidity and mortality. For tobacco control to be effective, it is necessary for policy makers to understand the personal and interpersonal factors which encourage people to smoke, factors which motivate smokers to quit (e.g., health, social pressure, cost), and the personal and population-level methods that are most effective at encouraging and prolonging attempts to quit. Research has identified that social norms, mental health, and individual personality factors are most associated with smoking uptake, so interventions which reduce social smoking (e.g., smoking bans, plain packaging) would be most effective at preventing uptake. Conversely, the use of cigarettes is maintained by nicotine addiction and attempts to quit are often motivated by health concerns, social pressure and the cost of tobacco products. As such, interventions that address physiological and behavioral addiction inherent in tobacco product use (e.g., nicotine replacement therapy combined with counselling), that create social pressure to stop (e.g., mass media campaigns), or that increase the cost of tobacco products are most likely to be effective at encouraging attempts to quit.

scholarly journals Development of a Climate Change Vulnerability Assessment Using a Public Health Lens to Determine Local Health Vulnerabilities: An Ontario Health Unit Experience

2018 ◽  
Vol 15 (10) ◽  
pp. 2237 ◽  
Author(s):  
Morgan Levison ◽  
Ainslie Butler ◽  
Steven Rebellato ◽  
Brenda Armstrong ◽  
Marina Whelan ◽  
...  
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Vulnerability Assessment ◽  
Action Plan ◽  
Local Level ◽  
Health Agency ◽  
Health Impacts ◽  
Research Approach ◽  
Local Health ◽  
Local Public Health

Climate change is negatively impacting the health of Canadians and is accordingly expected to have a significant impact on public health agencies and their response to these health impacts throughout the twenty-first century. While national and international research and assessments have explored the potential human health impacts of climate change, few assessments have explored the implications of climate change from a local public health perspective. An applied research approach to expand local knowledge and action of health vulnerabilities through a climate change action plan and vulnerability assessment was utilized by a local public health agency. Adoption and adaptation of the approach used may be valuable for public health organizations to assist their communities. Through completing a vulnerability assessment, an evidentiary base was generated for public health to inform adaptation actions to reduce negative health impacts and increase resiliency. Challenges in completing vulnerability assessments at the local level include the framing and scoping of health impacts and associated indicators, as well as access to internal expertise surrounding the analysis of data. While access to quantitative data may be limiting at the local level, qualitative data can enhance knowledge of local impacts, while also supporting the creation of key partnerships with community stakeholders which can ensure climate action continues beyond the scope of the vulnerability assessment.

PENERAPAN CLUSTERING PADA PENDUDUK YANG MEMPUNYAI KELUHAN KESEHATAN DENGAN DATAMINING K-MEANS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nurul Rofiqo ◽  
Agus Perdana Windarto ◽  
Dedy Hartama
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Population Level ◽  
Research Data ◽  
Health Complaints ◽  
Public Health Services ◽  
National Statistics ◽  
Central Java ◽  
Indonesian Population ◽  
The Government

This study aims to utilize Clushtering Algorithm in grouping the number of people who have health complaints with the K-means algorithm in Indonesia. The source of this research data was collected based on the documents of the provincial population which had health complaints produced by the National Statistics Agency. The data used in this study are data from 2013-2017 consisting of 34 provinces. The method used in this research is K-means Algorithm. Data will be processed by clushtering in 3 clushter, namely clusther high health complaints, clusther moderate and low health complaints. Centroid data for high population level clusters 37.48, Centroid data for moderate population level clusters 27.08, and Centroid data for low population level clusters 14.89. So that obtained an assessment based on the population index that has health complaints with 7 provinces of high health complaints, namely Central Java, Yogyakarta, Bali, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, Gorontalo, 18 provinces of moderate health complaints, and 9 other provinces including low health complaints. This can be an input to the government to give more attention to residents in each region who have high health complaints through improving public health services so that the Indonesian population becomes healthier without health complaints.Keywords: data mining, health complaints, clustering, K-means, Indonesian residents

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