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  2. Force of mortality - Wikipedia

    en.wikipedia.org/wiki/Force_of_mortality

    Thus the force of mortality at these ages is zero. The force of mortality μ(x) uniquely defines a probability density function f X (x). The force of mortality () can be interpreted as the conditional density of failure at age x, while f(x) is the unconditional density of failure at age x. [1]

  3. Mathematical modelling of infectious diseases - Wikipedia

    en.wikipedia.org/wiki/Mathematical_modelling_of...

    This is often well-justified for developed countries where there is a low infant mortality and much of the population lives to the life expectancy. Homogeneous mixing of the population, i.e., individuals of the population under scrutiny assort and make contact at random and do not mix mostly in a smaller subgroup.

  4. List of human disease case fatality rates - Wikipedia

    en.wikipedia.org/wiki/List_of_human_disease_case...

    Human infectious diseases may be characterized by their case fatality rate (CFR), the proportion of people diagnosed with a disease who die from it (cf. mortality rate).It should not be confused with the infection fatality rate (IFR), the estimated proportion of people infected by a disease-causing agent, including asymptomatic and undiagnosed infections, who die from the disease.

  5. Force of infection - Wikipedia

    en.wikipedia.org/wiki/Force_of_infection

    In epidemiology, force of infection (denoted ) is the rate at which susceptible individuals acquire an infectious disease. [1] Because it takes account of susceptibility it can be used to compare the rate of transmission between different groups of the population for the same infectious disease, or even between different infectious diseases.

  6. Epidemiology - Wikipedia

    en.wikipedia.org/wiki/Epidemiology

    Epidemiology research to examine the relationship between these biomarkers analyzed at the molecular level and disease was broadly named "molecular epidemiology". Specifically, "genetic epidemiology" has been used for epidemiology of germline genetic variation and disease. Genetic variation is typically determined using DNA from peripheral ...

  7. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    Survival analysis is a branch of statistics for analyzing the expected duration of time until one event occurs, such as death in biological organisms and failure in mechanical systems. This topic is called reliability theory , reliability analysis or reliability engineering in engineering , duration analysis or duration modelling in economics ...

  8. Prostate cancer cases spike in this US state as doctors share ...

    www.aol.com/prostate-cancer-cases-spike-us...

    Although cases rose, prostate cancer mortality rates declined 2.6% per year from 2004 to 2012, and plateaued from 2012 to 2021. These trends were similar across age, race, ethnicity and region ...

  9. Compartmental models in epidemiology - Wikipedia

    en.wikipedia.org/wiki/Compartmental_models_in...

    For the full specification of the model, the arrows should be labeled with the transition rates between compartments. Between S and I, the transition rate is assumed to be (/) / = /, where is the total population, is the average number of contacts per person per time, multiplied by the probability of disease transmission in a contact between a susceptible and an infectious subject, and / is ...