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ift-unesp


              Resonances and bi-modality

                      in a model for cholera




                                                                       Roberto A. Kraenkel
  Joint work with Claudia Pio                     Institute for Theoretical Physics - UNESP
Ferreira and Rosângela Sanches                                              São Paulo, Brazil
          ( Botucatu)



                                 SMB Meeting - 2010
ift-unesp

Cholera
ift-unesp

Cholera
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                       Cholera


•Water-borne disease
ift-unesp

                         Cholera


•Water-borne disease
•Etiological agent: Vibrio Cholerae
ift-unesp

                      Cholera


•Water-borne disease
•Etiological agent: Vibrio Cholerae
•Symptoms vary greatly, from asymptomatic to intense diarrhea
ift-unesp

                      Cholera


•Water-borne disease
•Etiological agent: Vibrio Cholerae
•Symptoms vary greatly, from asymptomatic to intense diarrhea
•Most important transmission route: environmental-to-human
ift-unesp

                      Cholera


•Water-borne disease
•Etiological agent: Vibrio Cholerae
•Symptoms vary greatly, from asymptomatic to intense diarrhea
•Most important transmission route: environmental-to-human
•3–5 million cholera cases and 100 000–120 000 deaths due to
cholera every year
ift-unesp
ift-unesp


Endemic Cholera
ift-unesp


     Endemic Cholera

• Cholera is endemic in many regions, mainly
  in the Indian sub-continent, Asia, Africa &
  Latin America
ift-unesp


     Endemic Cholera

• Cholera is endemic in many regions, mainly
  in the Indian sub-continent, Asia, Africa &
  Latin America
• Usually displays one or two annual peaks
ift-unesp


     Endemic Cholera

• Cholera is endemic in many regions, mainly
  in the Indian sub-continent, Asia, Africa &
  Latin America
• Usually displays one or two annual peaks
• Spatial correlation suggests environmental
  causes for periodicity.
Models of Cholera
                    ift-unesp




   epidemics
Models of Cholera
                                          ift-unesp




      epidemics
• First model proposed by Capasso(1979)
Models of Cholera
                                           ift-unesp




      epidemics
• First model proposed by Capasso(1979)
• Two equations - infected individuals &
  aquatic population of V. Cholerae
Models of Cholera
                                           ift-unesp




      epidemics
• First model proposed by Capasso(1979)
• Two equations - infected individuals &
  aquatic population of V. Cholerae
Models of Cholera
                                              ift-unesp




      epidemics
• First model proposed by Capasso(1979)
• Two equations - infected individuals &
  aquatic population of V. Cholerae


• Model by Codeço : S I R B ( susceptibles,
  infected, removed and bacteria)
Codeço Model
               ift-unesp
Codeço Model
                               ift-unesp




                    C.T. Codeço
               BMC Infectious Diseases
                     (2001) 1:1
Codeço Model
                                                        ift-unesp




                                             C.T. Codeço
                                        BMC Infectious Diseases
                                              (2001) 1:1




Epidemic and Endemic solutions are possible
Codeço Model
                                                                 ift-unesp




                                                      C.T. Codeço
                                                 BMC Infectious Diseases
                                                       (2001) 1:1




        Epidemic and Endemic solutions are possible

Easily incorporates seasonality through time-dependence in the
parameters: endemic peaks, once a year, no bi-modal solutions.
ift-unesp


Extended model
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     Extended model

• incorporates loss of immunity
ift-unesp


     Extended model

• incorporates loss of immunity
• seasonality
ift-unesp


     Extended model

• incorporates loss of immunity
• seasonality
• control mechanisms
ift-unesp
ift-unesp
ift-unesp
ift-unesp


               Results

• If no seasonality and control   are present



 endemic equilibrium is stable if R_0 > 1
ift-unesp


 Effects of seasonality

• Approach to endemic equilibrium is
  through damped oscillations
• Seasonal forcing introduces sustained
  oscillations.
• The amplitude of oscillations depends on
  and    .
ift-unesp


Resonance approach
ift-unesp


Resonance approach
• plot the local maximum in terms of p
ift-unesp


Resonance approach
• plot the local maximum in terms of p
ift-unesp


     Resonance approach
      • plot the local maximum in terms of p

Resonance
  peak
ift-unesp


     Resonance approach
      • plot the local maximum in terms of p

Resonance
  peak




                                bimodality
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Solutions
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Solutions
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        Solutions

 uni-
modal
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        Solutions

 uni-                bi-
modal               modal
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Control mechanisms
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Control mechanisms
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        Control mechanisms
  hand-
 washing,
education..
ift-unesp


        Control mechanisms
  hand-
 washing,
education..


              sanitation
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        Control mechanisms
  hand-
 washing,
education..                  water
                           treatment
              sanitation
ift-unesp


        Control mechanisms
                           vaccination
  hand-
 washing,
education..                  water
                           treatment
              sanitation
ift-unesp


        Control mechanisms
                                      vaccination
  hand-
 washing,
education..                              water
                                       treatment
              sanitation

                           efficiency index
ift-unesp


        Control mechanisms
                                              vaccination
  hand-
 washing,
education..                                      water
                                               treatment
                      sanitation

                                   efficiency index

 model allows to obtain critical values for eradication
eradication thresholds
                                                               ift-unesp




     hand-washing,
                                     water treatment
      education..
                                                continous
                continous
                                no eradication with periodic
 no eradication with periodic



       sanitation                       vaccination
                continous
no eradication with periodic                          periodic
ift-unesp




Thanks for your attention


                         Roberto Kraenkel
                     kraenkel@ift.unesp.br

      http://www.ift.unesp.br/users/kraenkel

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Resonances and bi-modality in a model for cholera

  • 1. ift-unesp Resonances and bi-modality in a model for cholera Roberto A. Kraenkel Joint work with Claudia Pio Institute for Theoretical Physics - UNESP Ferreira and Rosângela Sanches São Paulo, Brazil ( Botucatu) SMB Meeting - 2010
  • 4. ift-unesp Cholera •Water-borne disease
  • 5. ift-unesp Cholera •Water-borne disease •Etiological agent: Vibrio Cholerae
  • 6. ift-unesp Cholera •Water-borne disease •Etiological agent: Vibrio Cholerae •Symptoms vary greatly, from asymptomatic to intense diarrhea
  • 7. ift-unesp Cholera •Water-borne disease •Etiological agent: Vibrio Cholerae •Symptoms vary greatly, from asymptomatic to intense diarrhea •Most important transmission route: environmental-to-human
  • 8. ift-unesp Cholera •Water-borne disease •Etiological agent: Vibrio Cholerae •Symptoms vary greatly, from asymptomatic to intense diarrhea •Most important transmission route: environmental-to-human •3–5 million cholera cases and 100 000–120 000 deaths due to cholera every year
  • 11. ift-unesp Endemic Cholera • Cholera is endemic in many regions, mainly in the Indian sub-continent, Asia, Africa & Latin America
  • 12. ift-unesp Endemic Cholera • Cholera is endemic in many regions, mainly in the Indian sub-continent, Asia, Africa & Latin America • Usually displays one or two annual peaks
  • 13. ift-unesp Endemic Cholera • Cholera is endemic in many regions, mainly in the Indian sub-continent, Asia, Africa & Latin America • Usually displays one or two annual peaks • Spatial correlation suggests environmental causes for periodicity.
  • 14. Models of Cholera ift-unesp epidemics
  • 15. Models of Cholera ift-unesp epidemics • First model proposed by Capasso(1979)
  • 16. Models of Cholera ift-unesp epidemics • First model proposed by Capasso(1979) • Two equations - infected individuals & aquatic population of V. Cholerae
  • 17. Models of Cholera ift-unesp epidemics • First model proposed by Capasso(1979) • Two equations - infected individuals & aquatic population of V. Cholerae
  • 18. Models of Cholera ift-unesp epidemics • First model proposed by Capasso(1979) • Two equations - infected individuals & aquatic population of V. Cholerae • Model by Codeço : S I R B ( susceptibles, infected, removed and bacteria)
  • 19. Codeço Model ift-unesp
  • 20. Codeço Model ift-unesp C.T. Codeço BMC Infectious Diseases (2001) 1:1
  • 21. Codeço Model ift-unesp C.T. Codeço BMC Infectious Diseases (2001) 1:1 Epidemic and Endemic solutions are possible
  • 22. Codeço Model ift-unesp C.T. Codeço BMC Infectious Diseases (2001) 1:1 Epidemic and Endemic solutions are possible Easily incorporates seasonality through time-dependence in the parameters: endemic peaks, once a year, no bi-modal solutions.
  • 24. ift-unesp Extended model • incorporates loss of immunity
  • 25. ift-unesp Extended model • incorporates loss of immunity • seasonality
  • 26. ift-unesp Extended model • incorporates loss of immunity • seasonality • control mechanisms
  • 30. ift-unesp Results • If no seasonality and control are present endemic equilibrium is stable if R_0 > 1
  • 31. ift-unesp Effects of seasonality • Approach to endemic equilibrium is through damped oscillations • Seasonal forcing introduces sustained oscillations. • The amplitude of oscillations depends on and .
  • 33. ift-unesp Resonance approach • plot the local maximum in terms of p
  • 34. ift-unesp Resonance approach • plot the local maximum in terms of p
  • 35. ift-unesp Resonance approach • plot the local maximum in terms of p Resonance peak
  • 36. ift-unesp Resonance approach • plot the local maximum in terms of p Resonance peak bimodality
  • 39. ift-unesp Solutions uni- modal
  • 40. ift-unesp Solutions uni- bi- modal modal
  • 43. ift-unesp Control mechanisms hand- washing, education..
  • 44. ift-unesp Control mechanisms hand- washing, education.. sanitation
  • 45. ift-unesp Control mechanisms hand- washing, education.. water treatment sanitation
  • 46. ift-unesp Control mechanisms vaccination hand- washing, education.. water treatment sanitation
  • 47. ift-unesp Control mechanisms vaccination hand- washing, education.. water treatment sanitation efficiency index
  • 48. ift-unesp Control mechanisms vaccination hand- washing, education.. water treatment sanitation efficiency index model allows to obtain critical values for eradication
  • 49. eradication thresholds ift-unesp hand-washing, water treatment education.. continous continous no eradication with periodic no eradication with periodic sanitation vaccination continous no eradication with periodic periodic
  • 50. ift-unesp Thanks for your attention Roberto Kraenkel kraenkel@ift.unesp.br http://www.ift.unesp.br/users/kraenkel