AGE STRUCTURED MODEL FOR SYMPTOMATIC AND ASYMPTOMATIC INFECTIONS OF DENGUE DISEASE

P. Pongsumpun∗

References

  1. [1] http://w3.whosea.org/searono29/ch7.htm
  2. [2] WHO, Dengue Haemorrhagic fever : Diagnosis treatment andcontrol (Geneva: World Health Organization, 1997).
  3. [3] D.S. Burke, A. Nisalak, D. Johnson, & R.M. Scott, A prospec-tive study of dengue infections in bangkok, American Journalof Tropical Medicine and Hygiene, 38, 1988, 172–180.
  4. [4] G. Kuri, P. Mas, M. Soler, & A. Goyenechea, Dengue hem-orrhagic fever in Cuba, 1981: rapid diagnosis of the etiologicagent, Bulletin of Pan American Health Organization, 17,1983, 126–132.
  5. [5] L. Esteva & C.Vargas, Analysis of a dengue disease transmissionmodel, Mathematical Bioscience, 150, 1998, 131–151.
  6. [6] M. Robert, Stability and Complexity in Model Ecosystem (NewJersey: Princeton university press, 1973).
  7. [7] Z. Feng & J.X. Velsco-Hernandez , Competitive exclusions in avector-host model for the dengue fever, Journal of mathematicalBiology, 35, 1997, 523–544.204
  8. [8] C.A. Marques, O.P. Forattini, & E. Massad, The basic repro-duction number for Dengue fever in San Paulo state, Brazil:1990–1991 Epidemic, Transaction of Royal Society TropicalMedicine and Hygiene, 88, 1994, 58–59.
  9. [9] J.S. Koopman, D.R. Prevots, M.A.V. Mann, et al. Determi-nants and predictors of dengue infection in Mexico, AmericanJournal of Epidemiology, 133, 1991, 1168–178.
  10. [10] L. Molineaux & G. Gramiccia, The Garki project: research onthe epidemiology and control of malaria in the Sudan savannaof West Africa (Geneva: World Health Organization, 1980).
  11. [11] P. Pongsumpun, K. Patanarapelert, M. Sripom, S. Varamit,& I.M. Tang, Infection risk to travelers going to dengue feverendemic regions, Southeast Asian Journal of Tropical Medicineand Public Health, 35, 2004, 155–159.
  12. [12] P. Pongsumpun, Dengue disease model with the effect ofextrinsic incubation period, WSEAS Transactions on Biologyand Biomedicine, 3, 2006, 139–144.

Important Links:

Go Back