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4.10: Morbidity and Mortality

  • Page ID
    116197
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    The mortality or fatality rate is the rate at which people die, either from a specific cause or from all causes. At an individual level, we all have the same death rate -- we each get exactly one death! But mortality rates vary across populations. In a population with high rates of disease, for example, there may be a higher overall death rate (more deaths each year) than in a healthier population.

    Morbidity (which means sickness or ill health) is calculated using a few different rates. Two main rates to measure morbidity are prevalence and incidence.HiLoIncidence.png

    Prevalence is the proportion of the population affected by an illness or injury or other health problem at a given time. For example, if a town reports a prevalence of 10% for asthma in 2020, it means that in that specific year, one in ten people have asthma in that town.

    Incidence is the rate of NEW cases -- for example, we could calculate the proportion of the healthy population that got infected with influenza (flu) in 2015, and that would be the annual incidence of influenza (flu) for that year. The incidence rate counts new cases of flu and divides that number by the population at risk. It does NOT include cases of flu that were diagnosed before January 1, 2015, even if the person is still sick at the start of 2015.

    For chronic conditions (chronic diseases), we usually use prevalence rates and NOT incidence rates, since these diseases develop slowly and last a long time.

    Your textbook also discusses attack rate, an incidence rate calculated for a particular population for a single disease outbreak; expressed as a percentage, useful with any illness or injury that comes on quickly. For example, if there was a sudden outbreak of disease on an airplane, you would want to know what proportion of the passengers on that flight got sick. You could calculate the attack rate to understand that.

    Here is a video example of calculating incidence and prevalence (about 3 minutes, optional).

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    If you want to see even more about how incidence and prevalence interact in determining the overall burden of disease in a population, you might enjoy this short video (4 minutes) using the metaphor of a bathtub.

    Age-Adjusted Rates

    Different populations are of different ages.

    For example, Florida has a higher percent of residents over age 60 than California. So if you are looking at disease that affects older adults (like Alzheimer's disease), you have to take that into account when comparing Florida and California. For that reason, we have age-adjusted rates. (See the example in Chapter 3 of ICPH about Alaska versus Florida.)

    Recently, I have seen some controversy about whether California or Florida, with their different policy responses to Covid-19, did a better job of protecting older adults from death from covid. When the data is age-adjusted, the rates between the two states look much more similar than they do if you only look at the number of adults over age 65 who died.

    Rates can be adjusted for other factors too, besides the age-composition of the population. You don't need to know the math that goes into making those adjustments -- but I do want you to understand why we adjust rates: it is to make better and fairer comparisons.


    This page titled 4.10: Morbidity and Mortality is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Janey Skinner.