OPTIMIZATION MODEL FOR ALLOCATION OF HOSPITAL BEDS UNDER THE TREND OF AGING POPULATION

Author(s):  
Y. Gu
2020 ◽  
Author(s):  
Janaki Imbulana Arachchi ◽  
Shunsuke Managi

Abstract Background: Covid-19 pandemic shows a continuously increasing trend with a huge variation in the number of Covid-19 deaths across countries. In response, many countries have implemented non-pharmaceutical methods of intervention such as social distancing and lockdowns. This study aims to investigate the relationship between the four dimensions of social capital (community attachment, social trust, family bond, and security) with several control variables of Covid-19 deaths. Methods: We retrieved data from open access databases and our survey data. Covid-19 deaths related data were collected from the website “Center for Systems Science and Engineering (CSSE) at Johns Hopkins University”. Social capital related data was collected from a large-scale survey of 100,956 respondents across 37 countries that including web-based and face-to-face surveys covering all regions/provinces/states of 37 countries in 2017. Data regarding population density, hospital beds numbers, and population age 65 or older, was retrieved from the World Development Indicators (WDI). Data on country lockdown was obtained from the website “National responses to the 2019-20 coronavirus pandemic”. Linear regressions were applied to identify the relationship between social capital and Covid-19 deaths. Results: We found that Covid-19 deaths are associated with social capital both positively and negatively. Community attachment and social trust were associated with more Covid-19 deaths and family bond and security were associated with less deaths. Covid-19 deaths were positively associated with population density, aging population, and interactions between four dimensions of social capital related factors and aging population. Furthermore, number of hospital beds and early lockdown policy were negatively associated with Covid-19 deaths. Conclusions: The results indicate that the role of social capital on dynamically evolving threats such as the current Covid-19 pandemic does not always negatively or positively. Therefore, countries require changes of behavior of people to response Covid-19 threat.


2011 ◽  
Vol 281 ◽  
pp. 151-154
Author(s):  
Jie Fang Liu

In this paper, we consider the problem of the use of hospital beds. According to the actual situation of patient’s psychological, we analyzed the factors that influenced the hospital beds arrangement and patient’s psychological. Then we built the optimization model. This model concerned the following factors such as reasonable allocation patients, arrangement, bed utilization of the hospital and the turnover. Before modeling of original data we do the following preparation: the processing of data classification, the disease is divided into five different type of case, namely cataract, cataract (eyes), glaucoma, retinal disease, trauma to guarantee the requirements of different diseases. We used excel, MATLAB to calculation different type of disease hospital patients, and discharge time, waiting time for one time and so on, and then analysis the data that needed. At last, we get satisfactory conclusion.


ASHA Leader ◽  
2013 ◽  
Vol 18 (3) ◽  
Author(s):  
Aaron Ziegler ◽  
Edie Hapner
Keyword(s):  

Learn how SLPs can help restore the youthful voice of an aging population.


2004 ◽  
Vol 171 (4S) ◽  
pp. 139-139
Author(s):  
Aksam A. Yassin ◽  
Fadi Schukfeh
Keyword(s):  

GeroPsych ◽  
2015 ◽  
Vol 28 (2) ◽  
pp. 67-76
Author(s):  
Grace C. Niu ◽  
Patricia A. Arean

The recent increase in the aging population, specifically in the United States, has raised concerns regarding treatment for mental illness among older adults. Late-life depression (LLD) is a complex condition that has become widespread among the aging population. Despite the availability of behavioral interventions and psychotherapies, few depressed older adults actually receive treatment. In this paper we review the research on refining treatments for LLD. We first identify evidence-based treatments (EBTs) for LLD and the problems associated with efficacy and dissemination, then review approaches to conceptualizing mental illness, specifically concepts related to brain plasticity and the Research Domain Criteria (RDoc). Finally, we introduce ENGAGE as a streamlined treatment for LLD and discuss implications for future research.


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