Open AccessPREDICTIVE MODELS OF ALOPECIA AREATA PREVELENCE FORMING BASED ON THE CONTENT OF METALS IN THE ENVIRONMENT OBJECTS
Author(s) -
Н. П. Сетко,
Т. В. Николаева,
Л Г Воронина
Publication year - 2017
Publication title -
zdorovʹe naseleniâ i sreda obitaniâ
Language(s) - English
Resource type - Journals
eISSN - 2619-0788
pISSN - 2219-5238
DOI - 10.35627/2219-5238/2017-289-4-14-18
Subject(s) - alopecia areata , zinc , nickel , dermatology , incidence (geometry) , chromium , medicine , metallurgy , environmental chemistry , chemistry , materials science , mathematics , geometry
The article presents data showing the effect of environmental factors on the prevelence of autoimmunedisorders, the example of alopecia areata. The results of mathematical modeling of the formation of thisdermatosis prevalence depending on the content of zinc, copper, nickel, chromium and lead in theenvironment were described. It was found that an increase in the content of these metals in the soilincreases the likelihood of the formation of high levels of incidence of alopecia areata. However, the contentof the same metals in the air has no effect on the formation of prevelence of this autoimmune skin disease.Using data on the content of zinc, copper, nickel, chromium and lead in the soil developed logit-modelallows us to predict the prevalence rates of alopecia areata and make appropriate management decisions.