Lecture 5 Flashcards
increases in population density
Industrial Revolution –> demographic transition
Sanitary problems:
- accumulation of sewage, grey water, garbage. Provision of clean water, food, energy
- solutions: management systems = sewers systems, garage management, clean water supply
Public health problems - solutions for the masses:
- hospitals
- public health campaigns (e.g., vaccination)
Helping the enemy (pathogens)
The short generational time of most pathogens result in the rapid evolution of new reproductive and transmission strategies
Our strategies to fight them, turns out, can also help them
Hospitals have contributed to a outbreaks of highly virulent strains of E Coli, salmonella, staphylococcus and streptococcus bacteria
one the positive side, hospitals contribute to the origins of epidemiology
it was outbreaks of infectious diseases that gave place to epidemiology as one of the main components of the modern health sciences
The birth of quantitative epidemiology (and modern medicine) are linked to?
- the understanding that human health and disease patterns follow mathematical laws (William Farr)
In sum, the emergence of medical maths lead to the emergence and establishment of epidemiology as a field
Evolutionary epidemiology
“A particle of small-pox matter, so minute as to be borne by the wind, must multiply itself many thousandfold in a person thus inoculated; and so with the contagious matter of scarlet fever. It has recently been ascertained that a minute portion of the mucous discharge from an animal infected with rinderpest, if placed in the blood of a healthy ox, increases so fast that in a short space of time ‘the whole mass of blood, weighing many pounds, is infected, and every small particle of that blood contains enough poison to give, within less than fort-eight hours, the disease to another animal”
Epidemiology today
A discipline that studies the causes of disease looking at WHO is affected, WHERE diseases occur, WHEN they occur and the social, environmental and lifestyle correlation of disease occurrence
what is disease?
a biomedically measurable lesion, or an anatomical or physiological “irregularity”
what is epidemiology?
a discipline that studies the causes of lesions, or anatomical or physiological irregularities looking at WHO is affected, WHERE diseases occur, WHEN they occur and the social, environmental, dietary and lifestyle correlates of disease occurrence
disease “traditional biomedical” approach
Dichotomous
- individuals are healthy or sick
The limit between health and disease is not always clear
Conventional criteria = Functional impairment
Conventional Critiera: rely on observable symptoms and measurable impairments in function
Functional impairment: describes a decrease in an individual’s ability to perform normal daily activities or functions
- suffering
- statistical deviance
- physical lesion
Often correlate but are not sufficient to diagnosed a disorder
illness from the perspective of the individual
Experience of being unwell entails the experience of suffering
The experience of suffering varies across cultures
Main categories:
- somatic experiences
- mental dysfunction
- suffering due to misfortune
- On occasion the carrier of the illness is not the one suffering, as it happens sometimes with some psychiatric conditions
- On occasion illness can be associated with higher reproductive success
Antisocial personality disorder (psychopathies)
- deceitful and manipulative
- superficial charm but lack empathy. contemptuous of the feelings, rights, and suffering of others
How do psychopaths fare in life?
- 50% go through life undiagnosed and undetected
- Those scoring higher in Psychopathic Checklist - Revised (PCL-R) tend to be rated higher in physical attractiveness and have higher number of children
- In addition, psychopathic offenders score lower than non-psychopathic offenders on fluctuating asymmetry, a reliable measure of past developmental perturbations
Now that this type of behaviour could be “biologically” adaptive does not mean we have to accept it or tolerate it - the natural fallacy
Some cognitive mechanisms are hypothesised to have evolved because they allow us to detect psychopaths. Furthermore, we have develop legal tools to protect the rest of us from them.
Most traditional approachs to health challenges tend to focus on 2 things
- treatment of immediate symptoms
- proximate causes (mechanisms)
Evolutionary perspective - Why pain, fever, cancer, and negative emotions?
Ultimate: evolutionary origin and function of the reaction
Why pain, fever, cancer, and negative emotions?
Because, despite their obvious costs, they increase the chances of surviving those challenges. Fever creates a poor environment for bacteria to survive and reproduce. Pain helps avoid injury or further tissue damage. Cell duplication allows tissue healing. Negative emotions help note negative social situations and can promote taking action to change their course.
health status from an evolutionary perspective
Health status: is multidimensional, and a spectrum, it is not binary
The integrity and function of the body can be affected by various factors, including:
- lesions
- genetic mutations
- malfunction
- environmental challenges (physical or social)
Those changes in health status may result in undesirable, painful or uncomfortable outcomes
To decide if those undesirable outcomes can be avoided and develop strategies to prevent them or reduce their impact is useful to understand their ultimate causes
A wholistic perspective should include:
A full explanation. An analysis of both proximate and ultimate explanations
- it would be mistake to focus only one of the two types of causation or to study them independently
evolutionary theory and its contribution to epidemiology
to solve undesirable, painful, or uncomfortable outcomes is important to investigate and differentiate between “true malfunction” and the “uncomfortable secondary effects” (side effects) of adaptations.
Understanding this difference is critical to avoid suppressing natural defences
How do we study health and disease at the population level?
Collection of Epidemiological data
- analysis of vital statistics on morbidity (disease) and mortality (death)
- analysis of large-scale population surveys and surveillance (CDC, WHO)
Governments, religious authorities, nurses, doctors, and local health centres collect this data
Two main “quantifiable” outcomes
- measures of morbidity
- measures of mortality
Measures of morbidity
incidence and prevalence of a disease (population and time-specific measures)