Honors Convocation: February 18, 2016

Outstanding Teacher of the Year Recognition of Students with Honorshttps://spiral.lynn.edu/honors-convocation-programs/1007/thumbnail.jp

Financial Resources, Physical Resources and Performance of Public Health Institutions in Embu County, Kenya

Kenya constitution recognizes health as a fundamental right for all citizens in Kenya. Hence the Kenya government has invested resources heavily in the health sector in order to boost the performance of public health institutions. However, it has been a mere dream for many Kenyans to enjoy healthcare benefits as expected despite government commitment to improve the performance of health sector. The study sought to investigate the effect of financial and physical resources on the performance of public health institutions in Embu County, Kenya. The study used explanatory and descriptive research designs and targeted 550 employees and 769 outpatients drawn from all the five public hospitals in Embu County. The sample size comprised of 165 employees and 232 outpatients. Data was collected using semi-structured questionnaires and an interview guide. Quantitative data were analysed using descriptive and inferential statistics, while content analysis was used to analyse qualitative data. The findings of the study established that there was a positive and a statistically significant effect of financial and physical resources on the performance of public health institutions. Policy implications of these findings have been discussed. Keywords: physical resources, financial resources, performance of public health institution

Global mortality from dementia: Application of a newmethod and results from the global burden of disease study 2019

INTRODUCTION: Dementia is currently one of the leading causes of mortality globally, and mortality due to dementia will likely increase in the future along with corresponding increases in population growth and population aging. However, large inconsistencies in coding practices in vital registration systems over time and between countries complicate the estimation of global dementia mortality. METHODS: We meta-analyzed the excess risk of death in those with dementia and multiplied these estimates by the proportion of dementia deaths occurring in those with severe, end-stage disease to calculate the total number of deaths that could be attributed to dementia. RESULTS: We estimated that there were 1.62 million (95% uncertainty interval [UI]: 0.41–4.21) deaths globally due to dementia in 2019. More dementia deaths occurred in women (1.06 million [0.27–2.71]) than men (0.56 million [0.14–1.51]), largely but not entirely due to the higher life expectancy in women (age-standardized female-to-male ratio 1.19 [1.10–1.26]). Due to population aging, there was a large increase in all-age mortality rates from dementia between 1990 and 2019 (100.1% [89.1–117.5]). In 2019, deaths due to dementia ranked seventh globally in all ages and fourth among individuals 70 and older compared to deaths from other diseases estimated in the Global Burden of Disease (GBD) study. DISCUSSION: Mortality due to dementia represents a substantial global burden, and is expected to continue to grow into the future as an older, aging population expands globally

Global mortality from dementia: Application of a new method and results from the Global Burden of Disease Study 2019

Introduction: Dementia is currently one of the leading causes of mortality globally, and mortality due to dementia will likely increase in the future along with corresponding increases in population growth and population aging. However, large inconsistencies in coding practices in vital registration systems over time and between countries complicate the estimation of global dementia mortality. Methods: We meta-analyzed the excess risk of death in those with dementia and multiplied these estimates by the proportion of dementia deaths occurring in those with severe, end-stage disease to calculate the total number of deaths that could be attributed to dementia. Results: We estimated that there were 1.62 million (95% uncertainty interval [UI]: 0.41–4.21) deaths globally due to dementia in 2019. More dementia deaths occurred in women (1.06 million [0.27–2.71]) than men (0.56 million [0.14–1.51]), largely but not entirely due to the higher life expectancy in women (age-standardized female-tomale ratio 1.19 [1.10–1.26]). Due to population aging, there was a large increase in allage mortality rates from dementia between 1990 and 2019 (100.1% [89.1–117.5]). In 2019, deaths due to dementia ranked seventh globally in all ages and fourth among individuals 70 and older compared to deaths from other diseases estimated in the Global Burden of Disease (GBD) study. Discussion: Mortality due to dementia represents a substantial global burden, and is expected to continue to grow into the future as an older, aging population expands globally.This work was funded by the Bill and Melinda Gates Foundation, Seattle, WA, and by Gates Ventures, Seattle, WA. R. Akinyemi is supported as a FLAIR Research Fellow by the UK Royal Society and the African Academy of Science (Grants FLR/R1/191813 and FCG/R1/201034) U01HG010273 and from the National Institutes of Health (NIH), USA as part of the H3Africa Consortium. F. Carvalho and E. Fernandes acknowledge support from UID/MULTI/04378/2019 and UID/QUI/50006/2019 support with funding from FCT/MCTES, through national funds. L. F. S. Castro-de-Araujo is funded by The Wellcome Trust (Grant 202912/Z/16Z) via a research associate scholarship at Center of Data and Knowledge Integration for Health (CIDACS), Fundação Oswaldo Cruz (Fiocruz). A. Douiri acknowledges financial support from the National Institute for Health Research (NIHR) Biomedical Research and from the NIHR Collaboration for Leadership in Applied Health Research and Care South London at King’s College Hospital NHS Foundation Trust. The views expressed are those of the author and not necessarily those of the King’s College London, NHS, the NIHR or the Department of Health. B. B. Duncan was supported in part by IATS/FAPERGS (465518/2014-1). A. P. Kengne is supported by the South African Medical Research Council. Y. J. Kim was funded by a grant from the Research Management Centre, Xiamen University Malaysia (Grant number: XMUMRF/2020-C6/ITCM/0004). M. Kivimäki reports grants from the UK Medical Research Council (MRC S011676), the US National Institutes on Ageing (NIA R01AG056477) and NordForsk. W. Kukull acknowledges support from U01 AG016976. M Kumar acknowledges support from FIC/NIMHK43 TW010716-03. I. Landires is member of the Sistema Nacional de Investigación (SNI), which is supported by the Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT), Panamá. S. Lorkowski acknowledges institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig (Germany; German Federal Ministry of Education and Research; grant agreement number 01EA1808A). S. Mondello acknowledges support by grant number GR-2013-02354960 from the Italian Ministry of Health. M. R. Phillips is supported in part by Global Alliance for Chronic Diseases-National Natural Science Foundation of China (NSFC. No. 81761128031). P. S. Sachdev acknowledges funding support from NHMRC Australia (grant no 1093086). J. P. Silva acknowledges support from grant number UIDB/04378/2020 from the Applied Molecular Biosciences Unit (UCIBIO), supported through Portuguese national funds via FCT/MCTES. C. E. I. Szoeke is supported by the National Medical Health and Research Council, the Alzheimer’s Association, and The University of Melbourne. R. Tabarés-Seisdedos was supported in part by grant PI17/00719 from ISCIII-FEDER. C. Wu acknowledges support from the Ministry of Science and Technology (2020YFC2005600) and Suzhou Municipal Science and Technology Bureau (SS2019069).S

Global mortality from dementia : application of a newmethod and results from the Global Burden of Disease Study 2019

Introduction: Dementia is currently one of the leading causes of mortality globally, and mortality due to dementia will likely increase in the future along with corresponding increases in population growth and population aging. However, large inconsistencies in coding practices in vital registration systems over time and between countries complicate the estimation of global dementia mortality. Methods: We meta-analyzed the excess risk of death in those with dementia and multiplied these estimates by the proportion of dementia deaths occurring in those with severe, end-stage disease to calculate the total number of deaths that could be attributed to dementia. Results: We estimated that there were 1.62 million (95% uncertainty interval [UI]: 0.41–4.21) deaths globally due to dementia in 2019. More dementia deaths occurred in women (1.06 million [0.27–2.71]) than men (0.56 million [0.14–1.51]), largely but not entirely due to the higher life expectancy in women (age-standardized female-tomale ratio 1.19 [1.10–1.26]). Due to population aging, there was a large increase in allage mortality rates from dementia between 1990 and 2019 (100.1% [89.1–117.5]). In 2019, deaths due to dementia ranked seventh globally in all ages and fourth among individuals 70 and older compared to deaths from other diseases estimated in the Global Burden of Disease (GBD) study. Discussion: Mortality due to dementia represents a substantial global burden, and is expected to continue to grow into the future as an older, aging population expands globally

Global mortality from dementia : Application of a new method and results from the Global Burden of Disease Study 2019

Introduction Dementia is currently one of the leading causes of mortality globally, and mortality due to dementia will likely increase in the future along with corresponding increases in population growth and population aging. However, large inconsistencies in coding practices in vital registration systems over time and between countries complicate the estimation of global dementia mortality. Methods We meta-analyzed the excess risk of death in those with dementia and multiplied these estimates by the proportion of dementia deaths occurring in those with severe, end-stage disease to calculate the total number of deaths that could be attributed to dementia. Results We estimated that there were 1.62 million (95% uncertainty interval [UI]: 0.41-4.21) deaths globally due to dementia in 2019. More dementia deaths occurred in women (1.06 million [0.27-2.71]) than men (0.56 million [0.14-1.51]), largely but not entirely due to the higher life expectancy in women (age-standardized female-to-male ratio 1.19 [1.10-1.26]). Due to population aging, there was a large increase in all-age mortality rates from dementia between 1990 and 2019 (100.1% [89.1-117.5]). In 2019, deaths due to dementia ranked seventh globally in all ages and fourth among individuals 70 and older compared to deaths from other diseases estimated in the Global Burden of Disease (GBD) study. Discussion Mortality due to dementia represents a substantial global burden, and is expected to continue to grow into the future as an older, aging population expands globally.Peer reviewe

Commencement Program [Winter 1984]

St. Cloud State University commencement program for winter 1984https://repository.stcloudstate.edu/commpro/1158/thumbnail.jp

What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective

Algorithmic fairness has attracted increasing attention in the machine learning community. Various definitions are proposed in the literature, but the differences and connections among them are not clearly addressed. In this paper, we review and reflect on various fairness notions previously proposed in machine learning literature, and make an attempt to draw connections to arguments in moral and political philosophy, especially theories of justice. We also consider fairness inquiries from a dynamic perspective, and further consider the long-term impact that is induced by current prediction and decision. In light of the differences in the characterized fairness, we present a flowchart that encompasses implicit assumptions and expected outcomes of different types of fairness inquiries on the data generating process, on the predicted outcome, and on the induced impact, respectively. This paper demonstrates the importance of matching the mission (which kind of fairness one would like to enforce) and the means (which spectrum of fairness analysis is of interest, what is the appropriate analyzing scheme) to fulfill the intended purpose