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disease taxonomy
the study of how diseases are classified, in a way that ensures people are refering to the same disease
international classification of diseases ICD
provides standardized labels for diseases and conditions
how is icd organized
by bosy system with additional detain of disease and cause
where can icd codes be found
medical records and on death certificates
who maintains icd
who
uses of ICD
can track morbidity and mortality, surveillance data
what can surveillance data help with?
identify where prevalent, changes over time, and direct prevention and research resources
depending on trends oublic health agencies may
issue public health alerts, update clinical guidance, support hospitals, increase surveillance
medical coders
extract billable info and translate it into cofes for records and billing
classifying dieases by body system catagories
muscular, digestive, urinary, reproductive, circulatory, endocrince, lymphatic, respiratory, skeletal
etiology
classifying diseases by cause
classifying diseases by cause catagories
infectious diseases, genetic, enviornmental
infectious diseases
causes by infectious agents, bacteria fungi viruses, and parasites some involve more than one contributing cause
genetic diseases
causes by change in genetic material that can lead to faulty protiens of protien function
enviornmental
result of too much of a harmful exposure or too little of something essential
disease cuases and risk factors
nutritional deficiency disease, food insecurity
classification by cause
example covid 19 as an infectiou disease, depends on disease and question being asked
classification by mortality
can reveal differance in their overall impact, people worry more about new or unfamilliar threats than persistant risks around them, catagories may affect how statistics are interpreted
excess mortality
refers to deaths above an expected baseline
what trends do we see ine xcess mortality graphs
deaths fluctuate seasonally, high during winter, yellow line serves as threshhold deaths above line may signal a cause for alarm, how data is graphed can skew perception
measuring disease impact
case fatality rate, prevalance,incidence and morbidity
case fatality rate
also calles case fatality ratio, it is the proportion of identified cases that result in death, depends on age, demographics and access to health care, can be overestimated when cases are diagnoses
morbidity
how many people are affected by a disease
prevalance
counts all existing cases in a population, can be reported as a percentage or cases per number of people, normalizing population size supports comparisons across populations
incidence
counts new cases over a defined period of time
surveilance and case classification
disease stats come from surveillance and reporting systems, classifications include confirmed probable and suspect