|
Prevention Paradox
The prevention paradox describes the seemingly contradictory situation where the majority of cases of a disease come from a population at low or moderate risk of that disease, and only a minority of cases come from the high risk population (of the same disease). This is because the number of people at high risk is small. The prevention paradox was first formally described in 1981 by the epidemiologist Geoffrey Rose. Especially during the COVID-19 pandemic of 2020, the term "prevention paradox" was also used to describe the apparent paradox of people questioning steps to prevent the spread of the pandemic because the prophesied spread did not occur. This however is instead an example of a self-defeating prophecy or a preparedness paradox. Hypothetical case study For example, Rose describes the case of Down syndrome where maternal age is a risk factor. Yet, most cases of Down syndrome will be born to younger, low risk mothers (this is true at least in populations where most w ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
High Risk Population
A high-risk individual or high-risk person or high-risk population is a human being or beings living with an increased risk for severe illness due to age, medical condition, pregnancy/post-pregnant conditions, geographical location, or a combination of these risk factor In epidemiology, a risk factor or determinant is a variable associated with an increased risk of disease or infection. Due to a lack of harmonization across disciplines, determinant, in its more widely accepted scientific meaning, is often use ...s. High-risk people qualification High-risk people can be of any age. High-risk populations are vulnerable to serious illness. Globally, societal factors including limited access to Health care, healthcare and inadequate hygiene facilities can result in high-risk individuals. Access to proper healthcare is essential to the health and treatment of high-risk individuals, particularly high-risk mothers and infants. High-risk individuals can require long-term care. In ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Epidemiology
Epidemiology is the study and analysis of the distribution (who, when, and where), patterns and determinants of health and disease conditions in a defined population. It is a cornerstone of public health, and shapes policy decisions and evidence-based practice by identifying risk factors for disease and targets for preventive healthcare. Epidemiologists help with study design, collection, and statistical analysis of data, amend interpretation and dissemination of results (including peer review and occasional systematic review). Epidemiology has helped develop methodology used in clinical research, public health studies, and, to a lesser extent, basic research in the biological sciences. Major areas of epidemiological study include disease causation, transmission, outbreak investigation, disease surveillance, environmental epidemiology, forensic epidemiology, occupational epidemiology, screening, biomonitoring, and comparisons of treatment effects such as in clinical t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Geoffrey Rose (epidemiologist)
Geoffrey Arthur Rose (19 April 1926 – 12 November 1993) was an eminent epidemiologist whose ideas have been credited with transforming the approach to strategies for improving health. He was formerly the Emeritus Professor of Epidemiology at the Department of Epidemiology, London School of Hygiene and Tropical Medicine. Early life and career Geoffrey Rose was born in London on 19 April 1926 to Arthur Norman Rose, a Methodist minister, and Mary née Wadsworth, who was the daughter of a Methodist minister. In 1958 he joined the epidemiology department of the London School of Hygiene and Tropical Medicine (LSHTM) and became a part-time Reader in 1964. In 1970 he became the visiting professor of Epidemiology and Preventive Medicine and was elected to Full Professor of Epidemiology in 1977. In his time at the LSHTM he worked with many pioneering epidemiologists, including Donald Reid. He was also responsible for starting the Masters in Epidemiology course. He died 12 November 199 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
COVID-19 Pandemic
The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The novel virus was first identified in an outbreak in the Chinese city of Wuhan in December 2019. Attempts to contain it there failed, allowing the virus to spread to other areas of Asia and later COVID-19 pandemic by country and territory, worldwide. The World Health Organization (WHO) declared the outbreak a public health emergency of international concern on 30 January 2020, and a pandemic on 11 March 2020. As of , the pandemic had caused COVID-19 pandemic cases, more than cases and COVID-19 pandemic deaths, confirmed deaths, making it one of the deadliest pandemics in history, deadliest in history. COVID-19 symptoms range from Asymptomatic, undetectable to deadly, but most commonly include fever, Nocturnal cough, dry cough, and fatigue. Severe illness is more likely ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Self-defeating Prophecy
A self-defeating prophecy (''self-destroying'' or ''self-denying'' in some sources) is the complementary opposite of a self-fulfilling prophecy; a prediction that prevents what it predicts from happening. This is also known as the prophet's dilemma. A self-defeating prophecy can be the result of rebellion to the prediction. If the audience of a prediction has an interest in seeing it falsified, and its fulfillment depends on their actions or inaction, their actions upon hearing it will make the prediction less plausible. If a prediction is made with this outcome specifically in mind, it is commonly referred to as reverse psychology or warning. Also, when working to make a premonition come true, one can inadvertently change the circumstances so much that the prophecy cannot come true. It is important to distinguish a self-defeating prophecy from a self-fulfilling prophecy that predicts a negative outcome. If a prophecy of a negative outcome is made, and that negative outcome is ach ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Preparedness Paradox
The preparedness paradox is the proposition that if a society or individual acts effectively to mitigate a potential disaster such as a pandemic, natural disaster or other catastrophe so that it causes less harm, the avoided danger will be perceived as having been much less serious because of the limited damage actually caused. The paradox is the incorrect perception that there had been no need for careful preparation as there was little harm, although in reality the limitation of the harm was due to preparation. Several cognitive biases can consequently hamper proper preparation for future risks. Background The term "preparedness paradox" has been used occasionally since at least 1949 in different contexts, usually in the military and financial system. The term regained traction in reference to the Covid-19 pandemic and to the overall government response worldwide. Another notable citation of the term was in 2017 by Roland Berger regarding executives in the aerospace and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Down Syndrome
Down syndrome or Down's syndrome, also known as trisomy 21, is a genetic disorder caused by the presence of all or part of a third copy of chromosome 21. It is usually associated with child development, physical growth delays, mild to moderate intellectual disability, and Facies (medical), characteristic facial features. The average IQ of a young adult with Down syndrome is 50, equivalent to the mental ability of an eight- or nine-year-old child, but this can vary widely. The parents of the affected individual are usually genetically normal. The probability increases from less than 0.1% in 20-year-old mothers to 3% in those of age 45. The extra chromosome is believed to occur by chance, with no known behavioral activity or environmental factor that changes the probability. Down syndrome can be identified during pregnancy by prenatal screening followed by diagnostic testing or after birth by direct observation and genetic testing. Since the introduction of screening, Down syndr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Burden Of Disease
Disease burden is the impact of a health problem as measured by financial cost, mortality, morbidity, or other indicators. It is often quantified in terms of quality-adjusted life years (QALYs) or disability-adjusted life years (DALYs). Both of these metrics quantify the number of years lost due to disability (YLDs), sometimes also known as years lost due to disease or years lived with disability/disease. One DALY can be thought of as one year of healthy life lost, and the overall disease burden can be thought of as a measure of the gap between current health status and the ideal health status (where the individual lives to old age without disease and disability). According to an article published in '' The Lancet'' in June 2015, low back pain and major depressive disorder were among the top ten causes of YLDs and were the cause of more health loss than diabetes, chronic obstructive pulmonary disease, and asthma combined. The study based on data from 188 countries, considere ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
False Positive Paradox
The base rate fallacy, also called base rate neglect or base rate bias, is a type of fallacy in which people tend to ignore the base rate (i.e., general prevalence) in favor of the individuating information (i.e., information pertaining only to a specific case). Base rate neglect is a specific form of the more general extension neglect. False positive paradox An example of the base rate fallacy is the false positive paradox. This paradox describes situations where there are more false positive test results than true positives. For example, if a facial recognition camera can identify wanted criminals 99% accurately, but analyzes 10,000 people a day, the high accuracy is outweighed by the number of tests, and the program's list of criminals will likely have far more false positives than true. The probability of a positive test result is determined not only by the accuracy of the test but also by the characteristics of the sampled population. When the prevalence, the proportion ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Preparedness Paradox
The preparedness paradox is the proposition that if a society or individual acts effectively to mitigate a potential disaster such as a pandemic, natural disaster or other catastrophe so that it causes less harm, the avoided danger will be perceived as having been much less serious because of the limited damage actually caused. The paradox is the incorrect perception that there had been no need for careful preparation as there was little harm, although in reality the limitation of the harm was due to preparation. Several cognitive biases can consequently hamper proper preparation for future risks. Background The term "preparedness paradox" has been used occasionally since at least 1949 in different contexts, usually in the military and financial system. The term regained traction in reference to the Covid-19 pandemic and to the overall government response worldwide. Another notable citation of the term was in 2017 by Roland Berger regarding executives in the aerospace and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Medical Terminology
Medical terminology is a language used to precisely describe the human body including all its components, processes, conditions affecting it, and procedures performed upon it. Medical terminology is used in the field of medicine Medical terminology has quite regular morphology, the same prefixes and suffixes are used to add meanings to different roots. The root of a term often refers to an organ, tissue, or condition. For example, in the disorder known as hypertension, the prefix "hyper-" means "high" or "over", and the root word "tension" refers to pressure, so the word "hypertension" refers to abnormally high blood pressure. The roots, prefixes and suffixes are often derived from Greek or Latin, and often quite dissimilar from their English-language variants. This regular morphology means that once a reasonable number of morphemes are learnt it becomes easy to understand very precise terms assembled from these morphemes. Much medical language is anatomical terminology, con ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
