A Critical Analysis on Obtaining and Using Data and Information for Pandemic Management

2022 ◽  
pp. 1-16
Author(s):  
Mohammed Nasser Al-Suqri
Keyword(s):  
Critical Analysis ◽  
Information Source ◽  
Cloud Services ◽  
World Health ◽  
Death Rates ◽  
Current Strategy ◽  
Data Usage ◽  
Time Availability ◽  
Using Data ◽  
Health Cloud

The chapter provides an in-depth overview and analysis for developing policies and strategies for managing a pandemic based on information and data. While looking for the credibility of an information source, various parameters are subjected for considerations (i.e., infection and death rates per given time, availability of personal protective equipment [PPE], overall population attitude, current strategy response rate, society behaviors, outcomes of policies interventions for curbing the spread of the virus, and many more). To critically analyze pandemic information and data usage along with issues and challenges that arise in collecting, extracting, or using various forms of information and data for pandemic management, numerous national action plans, world health databases, pandemic monitoring smart applications, government published infection-to-death ratios, and health cloud services are interpreted and discussed.

Alcohol-Related Mortality in the WHO European Region: Sex-Specific Trends and Predictions

2019 ◽  
Vol 54 (6) ◽  
pp. 593-598 ◽  
Author(s):  
Nathalie Pruckner ◽  
Barbara Hinterbuchinger ◽  
Matthäus Fellinger ◽  
Daniel König ◽  
Thomas Waldhoer ◽  
...  
Keyword(s):  
Regional Differences ◽  
World Health ◽  
European Region ◽  
Drinking Patterns ◽  
Death Rates ◽  
Per Capita ◽  
Using Data ◽  
Health Organization ◽  
Per Capita Consumption ◽  
Related Mortality

Abstract Aims Alcohol is an important risk factor for morbidity and mortality, especially within the European region. Differences in per capita consumption and drinking patterns are possible reasons for regional differences and diverging trends in alcohol-related health outcomes. Methods Twenty-nine countries within the World Health Organization (WHO) European region were evaluated for trends and predictions in alcohol-related deaths within the last four decades using data available from the WHO Health for All database. Results Between 1979 and 2015, age-standardised death rates due to selected alcohol-related causes decreased significantly for both sexes in all assessed countries of the WHO European region, but regional differences are still pronounced. Assuming a similar trend in the future, the model predicted a further decrease until the year 2030. Conclusion Even though alcohol-related mortality may have decreased within the last decades, the detrimental effects of alcohol consumption and alcohol dependence remain a considerable burden of disease within Europe.

scholarly journals Disability, Frailty and Depression in the community-dwelling older adults with Osteosarcopenia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ki-Soo Park ◽  
Gyeong-Ye Lee ◽  
Young-Mi Seo ◽  
Sung-Hyo Seo ◽  
Jun-Il Yoo
Keyword(s):  
Older Adults ◽  
Short Form ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Community Dwelling ◽  
Normal Group ◽  
World Health ◽  
Common Disease ◽  
Using Data ◽  
Health Organization

Abstract Background The purpose of this study was to investigate the prevalence of osteosarcopenia in the over 60-year-old community and to evaluate whether osteosarcopenia is associated with disability, frailty and depression. Methods This study was performed using the baseline data of Namgaram-2, among the 1010 surveyed subjects, 885 study subjects who were 60 years or older and had all necessary tests performed were selected. The Kaigo-Yobo checklist (frailty), World Health Organization Disability Assessment Schedule (WHODAS) and Geriatric Depression Scale-Short Form-Korean (GDSSF-K) were used. The Asian Working Group for Sarcopenia (AWGS 2019) were applied in this study. Osteopenia was measured using data from dual energy X-ray absorptiometry (DEXA) and osteopenia was diagnosed when the T-score was less than − 1.0. The study subjects were divided into four groups: the normal group, in which both sarcopenia and osteopenia were undiagnosed, osteopenia only, sarcopenia only and the osteosarcopenia group, which was diagnosed with both sarcopenia and osteopenia. Results Of the 885 subjects over 60 years old evaluated, the normal group comprised 34.0%, the only osteopenia group 33.7%, the only sarcopenia group 13.1%, and the osteosarcopenia group 19.2%. WHODAS (17.5, 95% CI: 14.8-20.1), Kaigo-Yobo (3.0, 95% CI: 2.6-3.4), and GDSSF mean score (4.6, 95% CI: 3.9-5.4) were statistically significantly higher in the osteosarcopenia group compared the other groups. Partial eta squared (ηp2) of WHODAS (0.199) and Kaigo-Yobo (0.148) values ​​according to Osteosarcopenia were large, and GDSSF (0.096) was medium Conclusions Osteosarcopenia is a relatively common disease group in the older adults community that may cause deterioration of health outcomes. Therefore, when evaluating osteopenia or sarcopenia in the older adults, management of those in both disease groups should occur together.

Investigating the Spread of Coronavirus Disease via Edge-AI and Air Pollution Correlation

2021 ◽  
Vol 21 (4) ◽  
pp. 1-10
Author(s):  
V. Gomathy ◽  
K. Janarthanan ◽  
Fadi Al-Turjman ◽  
R. Sitharthan ◽  
M. Rajesh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Pollution ◽  
Mortality Rate ◽  
Respiratory Diseases ◽  
Past Research ◽  
Viral Disease ◽  
Machine Learning Method ◽  
Learning Method ◽  
Death Rates ◽  
Using Data

Coronavirus Disease 19 (COVID-19) is a highly infectious viral disease affecting millions of people worldwide in 2020. Several studies have shown that COVID-19 results in a severe acute respiratory syndrome and may lead to death. In past research, a greater number of respiratory diseases has been caused by exposure to air pollution for long periods of time. This article investigates the spread of COVID-19 as a result of air pollution by applying linear regression in machine learning method based edge computing. The analysis in this investigation have been based on the death rates caused by COVID-19 as well as the region of death rates based on hazardous air pollution using data retrieved from the Copernicus Sentinel-5P satellite. The results obtained in the investigation prove that the mortality rate due to the spread of COVID-19 is 77% higher in areas with polluted air. This investigation also proves that COVID-19 severely affected 68% of the individuals who had been exposed to polluted air.

scholarly journals Cardiovascular Risk Assessment in Angolan Adults: A Descriptive Analysis from CardioBengo, a Community-Based Survey

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
João M. Pedro ◽  
Miguel Brito ◽  
Henrique Barros
Keyword(s):  
Cardiovascular Risk ◽  
Risk Prediction ◽  
Disease Risk ◽  
Descriptive Analysis ◽  
World Health Organisation ◽  
World Health ◽  
Lipid Lowering ◽  
Community Based ◽  
Risk Factor Surveillance ◽  
Using Data

From a community-based survey conducted in Angola, 468 individuals aged 40 to 64 years and not using drug therapy were evaluated according to the World Health Organisation STEPwise Approach to Chronic Disease Risk Factor Surveillance. Using data from tobacco use, blood pressure, blood glucose, and total cholesterol levels, we estimated the 10-year risk of a fatal or nonfatal major cardiovascular event and computed the proportion of untreated participants eligible for pharmacological treatment according to clinical values alone and total cardiovascular risk. The large majority of participants were classified as having a low (<10%) 10-year cardiovascular risk (87.6%), with only 4.5% having a high (≥ 20%) cardiovascular risk. If we consider the single criteria for hypertension, 48.7% of the population should be considered for treatment. This value decreases to 22.0% if we apply the risk prediction chart. The use of hypoglycaemic drugs does not present any differences (19.0% in both situations). The use of lipid-lowering drugs (3.8%) is only recommended by the risk prediction chart. This study reveals the need of integrated approaches for the treatment of cardiovascular disorders in this population. Risk prediction charts can be used as a way to promote a better use of limited resources.

scholarly journals CRITICAL ANALYSIS OF RAJASWALA CHARYA IN RELATION WITH ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD) IN CHILDREN - A SURVEY STUDY

2021 ◽  
Vol 9 (8) ◽  
pp. 1711-1716
Author(s):  
Shamna T.V ◽  
Venkatakrishna K.V
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Critical Analysis ◽  
Mental Stress ◽  
World Health ◽  
Survey Study ◽  
Abnormal Behaviour ◽  
Hyperactivity Disorder ◽  
Alternative And Complementary Medicine ◽  
Health Organization

Attention deficit hyperactivity disorder or ADHD is the commonest neurological disorder that affects the behaviour of children.1 World Health Organization put forth that, mental disorders are to shoot up by 50% in 2020 at international level. Indian studies rate the psychopathology among children as 5-15% and ADHD has the highest incidence among all the other developmental disorders2. There is no disease by the name ADHD described in Ayurveda, but some conditions of abnormal behaviour can be screened from Ayurvedic literature like Anavasthita Chittatva3, Manovibhrama4, Buddhivibhrama5, Smritivibhrama 4, Sheelavibhrama6 Cheshtavibrama7, and Acharavibhrama. It is found that emergence of the ADHD does not follow a single responsible factor7 and thus a single line of treatment does not cure it7,2. The prevalence of ADHD is increased recently, and people started turning to alternative and complementary medicine especially Ayurveda, it is worthwhile to understand the probable aetiology to prevent the emergence of disease. It is known that the Rajaswala period is the largest and most important period among women's life and need to be healthy in this phase to have a better progeny. But in the present era, women are in hurry to reach the mainstream of society and under much physical and mental stress ends up with lack of care on their health even during menstruation which may lead to ill effect in later life8. This study is to put light on the importance of following regimens and avoiding Apathyas especially during menstruation explained in Ayurvedic classics concerning ADHD. Keywords: Rajaswala, ADHD, paricharya

Association of Suicide Rates of Elderly Persons with Fertility Rates

2008 ◽  
Vol 102 (2) ◽  
pp. 369-376 ◽  
Author(s):  
Ajit Shah
Keyword(s):  
Social Integration ◽  
The Elderly ◽  
World Health Organisation ◽  
World Health ◽  
Elderly Persons ◽  
Fertility Rates ◽  
Suicide Rates ◽  
Proxy Measure ◽  
Males And Females ◽  
Using Data

A negative correlation between societal suicide rates and social integration has been reported, but rarely specifically examined for suicide rates of the elderly although suicide rates of elderly persons are among the highest. The associations of suicide rates of elderly persons and fertility rates for 81 countries were examined using data from the World Health Organisation and United Nations. Fertility rates were considered a proxy measure for social integration. Multiple regression analysis indicated that suicide rates for males and females in the age bands 65–74 years and 75+ years were independently (negative) correlated with fertility rates. Fertility rates, as a measure of social integration, may interact with, modify and mediate the effect of cultural factors on suicide rates of elderly persons.

Slicing, Tokenization, and Encryption Based Combinational Approach to Protect Data-at-Rest in Cloud Using TF-Sec Model

2020 ◽  
Vol 17 (12) ◽  
pp. 5296-5306
Author(s):  
N. Keerthana ◽  
Viji Vinod ◽  
Sudhakar Sengan
Keyword(s):  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Erasure Coding ◽  
Cloud Data ◽  
Data Usage ◽  
Dispersion Technique ◽  
Definition Of ◽  
The Given ◽  
Cloud Users

Data in the Cloud, which applies to data as a cloud service provider (CSP), transmits stores, or manages it. The company will enforce the same definition of data usage while the data is resident within the enterprise and thus extend the required cryptographic security criteria to data collected, exchanged, or handled by CSP. The CSP Service Level Agreements cannot override the cryptographic access measures. When the data is transferred securely to CSP, it can be securely collected, distributed, and interpreted. Data at the rest position applies to data as it is processed internally in organized and in the unstructured ways like databases and file cabinets. The Data at the Rest example includes the use of cryptography for preserving the integrity of valuable data when processed. For cloud services, computing takes multiple forms from recording units, repositories, and many unstructured items. This paper presents a secure model for Data at rest. The TF-Sec model suggested is planned for use with Slicing, Tokenization, and Encryption. The model encrypts the given cloud data using AES 256 encryption, and then the encrypted block is sliced into the chunks of data fragments using HD-Slicer. Then it applies tokenization algorithm TKNZ to each chunk of data, applies erasure coding technique to tokens, applies the data dispersion technique to scramble encrypted data fragments, and allocates to storage nodes of the multiple CSP. In taking the above steps, this study aims to resolve the cloud security problems found and to guarantee the confidentiality of their data to cloud users due to encryption of data fragments would be of little benefit to a CSP.

scholarly journals MODELLING SOCIO-ECONOMIC DIFFERENCES IN MORTALITY USING A NEW AFFLUENCE INDEX

2019 ◽  
Vol 49 (03) ◽  
pp. 555-590 ◽  
Author(s):  
Andrew J.G. Cairns ◽  
Malene Kallestrup-Lamb ◽  
Carsten Rosenskjold ◽  
David Blake ◽  
Kevin Dowd
Keyword(s):  
Mortality Data ◽  
National Register ◽  
Death Rates ◽  
Modelling Framework ◽  
Projection Properties ◽  
Key Features ◽  
Using Data ◽  
Model Fits

AbstractWe introduce a new modelling framework to explain socio-economic differences in mortality in terms of an affluence index that combines information on individual wealth and income. The model is illustrated using data on older Danish males over the period 1985–2012 reported in the Statistics Denmark national register database. The model fits the historical mortality data well, captures their key features, generates smoothed death rates that allow us to work with a larger number of sub-groups than has previously been considered feasible, and has plausible projection properties.

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