Demographic analysis and modeling of human populations exposed to ionizing radiation.
The health effects of ionizing radiation on human populations are often analyzed using epidemiological statistical methods. Because of the complexity of the health consequences of ionizing radiation and the prolonged period during which the consequences emerge, we propose to evaluate these health effects using mathematical models that are based on the best theoretical reasoning and prior biological evidence about disease mechanisms. We believe this will improve the ability of the model to identify health effects and reduce erroneous inferences.
Manton
K G
KG
Duke University, Center for Demographic Studies, 2117 Campus Drive, Box 90408, Durham, NC 27708-0408, USA. kgm@cds.duke.edu
Akushevich
I
I
Kulminski
A
A
D003710:Demography; D004307:Dose-Response Relationship, Radiation; D006801:Humans; D016013:Likelihood Functions; D008954:Models, Biological; D015233:Models, Statistical; D008962:Models, Theoretical; D011153:Population; D011210:Power Plants; D011829:Radiation Dosage; D011832:Radiation Injuries / Q000453:epidemiology*; D011835:Radiation Protection; D011836:Radiation Tolerance; D011839:Radiation, Ionizing; D018788:Radioactive Hazard Release; D011853:Radiobiology; D012306:Risk; D018570:Risk Assessment; D014455:Ukraine