[The use of computers and mathematical methods for optimizing epidemic control measures with respect to measles infection].
The potentialities of computers for the study of the effectiveness of immunization have been demonstrated and the mathematical model for the prediction of the proportion of children, seronegative to measles, derived on the basis of the data on the average measles morbidity in different groups for a given period. A multifactor analysis of a large scope of data obtained in seroepidemiological survey and a retrospective analysis of measles morbidity on the basis of data collected in two districts of Moscow have been carried out with the use of computers and mathematical methods.
Bezuglova
M S
MS
Rusakova
E V
EV
Frank
K D
KD
Drynov
I D
ID
Vasil'eva
V I
VI
Filatov
N N
NN
Mironova
V F
VF
D000367:Age Factors; D000914:Antibodies, Viral / Q000097:blood; D003198:Computer Simulation; D016208:Databases, Factual; D004196:Disease Outbreaks / Q000517:prevention & control* / Q000706:statistics & numerical data; D006801:Humans; D007117:Immunization, Secondary / Q000706:statistics & numerical data; D008433:Mathematics; D008457:Measles / Q000453:epidemiology / Q000276:immunology / Q000517:prevention & control*; D008459:Measles virus / Q000276:immunology; D015233:Models, Statistical; D009031:Moscow / Q000453:epidemiology; D016036:Seroepidemiologic Studies; D014505:Urban Population / Q000706:statistics & numerical data
D000914:Antibodies, Viral
Ispol'zovanie EVM i matematicheskikh metodov dlia optimizatsii protivoépidemicheskikh meropriiatiĭ v otnoshenii korevoĭ infektsii.