Use of mathematical models in the interpretation of data concerning the evolution of measles morbidity in Rumania
Măgureanu, E.; Feller, H.; Cristea, A.; Copelovici, Y.; Cajal, N.; Cernescu, C.; Strulovici, D.
Revue Roumaine de Virologie 10(4): 301-317
1973
ISSN/ISBN: 0300-158X PMID: 4787793 Document Number: 63962
Document emailed within 1 workday
Related Documents
Cristea, A.L.; Petrescu, A.L.; Copelovici, Y. 1975: Use of a mathematical model of the evolution of morbidity of various virus diseases for the characterization of the epidemiology of influenza in the People's Republic of Rumania. Note I Virologie 26(2): 87-97Walensky, R.P. 2013: Combination HIV prevention: the value and interpretation of mathematical models Current Hiv/Aids Reports 10(3): 195-198
Cazacu, E.; Bălan, A.; Dinică, V. 1994: The evolution of measles morbidity and mortality in Romania after the introduction of antimeasles vaccination Bacteriologia Virusologia Parazitologia Epidemiologia 39(1-2): 35-44
Sager, G. 1983: Mathematical interpretation of radius growth in the human using Gindhart's (1976) data Anatomischer Anzeiger 153(5): 447-457
Mlcek, M.; Kittnar, O. 2004: Significance of the mathematical model of cardiac electrical field for the interpretation of experimental data Casopis Lekaru Ceskych 143(9): 608-613
Agafonova, I.I. 1991: Characteristics of mathematical interpretation of experimental data during analysis of affinity distribution of serum IgG specific for influenza virus Vestnik Akademii Meditsinskikh Nauk SSSR 4: 11-14
Agafonova, I.I. 1991: Characteristics of mathematical interpretation of experimental data during analysis of affinity distribution of serum IgG specific for influenza virus Vestnik Akademii Meditsinskikh Nauk SSSR 29(4): 11-14
Ronin-Walknowska, E.; Drelichowski, L.; Kornacki, Z. 1977: Use of multiform regression models in perinatal diagnosis as a standard of partial (off line) data processing system. II. Interpretation of results and the use of multiform regression models Ginekologia Polska 48(3): 259-264
Peil, J.; Warchol, J.B.; Scharf, J.H. 1972: Mathematical models for the kinetics of tetrazolium salt reduction in histochemical reactions demonstrating tetrazolium salt reductase. II. Mathematical-numerical models Acta Histochemica 43(1): 59-70
Del Amparo, R.; Arenas, M. 2021: HIV Protease and Integrase Empirical Substitution Models of Evolution: Protein-Specific Models Outperform Generalist Models Genes 13(1)
Trebici, V. 1976: Mathematical models in demography Economic Computation and Economic Cybernetics Studies and Research 4: 3-12
Close, W.H.; Pettigrew, J.E. 1990: Mathematical models of sow reproduction Journal of Reproduction and Fertility. Suppl 40: 83-88
Pesek, J.; Rozkosný, V. 1980: Mathematical models in epizootiology Veterinarni Medicina 25(5): 257-265
Koziorowski, C.; Wasikowa, R. 1971: Assessment of insulin secretion ability of the pancreas in diabetic children in its mathematical interpretation Pediatria Polska 46(4): 471-474
Larsen, J.; Pedersen, S.A. 2000: Mathematical models behind advanced simulators in medicine Studies in Health Technology and Informatics 71: 203-216
Whittemore, A.S. 1979: Mathematical models of cancer and their use in risk assessment Journal of Environmental Pathology and Toxicology 3(1-2): 353-362
Epstein, Y.; Heled, Y.; Moran, D.; Shapiro, Y. 2000: Prediction of physiological response from mathematical models Harefuah 138(9): 713-8 808
Burton, R.R. 2000: Mathematical models for predicting G-duration tolerances Aviation Space and Environmental Medicine 71(10): 981-990
Waniewski, J. 1999: Mathematical models for peritoneal transport characteristics Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 19(Suppl 2): S193-S201
Boev, B.V.; Bondarenko, V.M.; Prokop'eva, N.V.; Raigosa Anaya, M.; García de Alba, H.; San Román, R.T. 1993: A mathematical model of the seasonal morbidity of shigellosis Zhurnal Mikrobiologii Epidemiologii i Immunobiologii 4: 41-46