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Cholera in South Africa 20002001

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concentration of V. cholerae in water that yields 50% chance of catching cholera ... The risks are particularly high because many villages have no latrines, and ... – PowerPoint PPT presentation

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Title: Cholera in South Africa 20002001


1
Cholera in South Africa 2000/2001
  • Catalina Anghel
  • Andrea Borowski

2
Overview
  • What is cholera?
  • Cholera in South Africa
  • Data
  • Models
  • SIR model
  • Modified SIR model according to Torres Codeco
  • Conclusions

3
1. What is cholera?
  • Acute intestinal infection
  • caused by the bacterium
  • Vibrio cholerae
  • Infection results in a diarrhoea that can lead to
    dehydration and death
  • Infected people
  • excrete bacteria between 7 and 14 days
  • lt20 show typical symptoms of cholera
  • Rarely person to person transmission

4
2. Cholera in South Africa in 2000/2001
  • Total number of infected 106 159
  • Start in mid august 2000
  • Affected region KwaZulu-Natal
  • population 9.3 mi.
  • most people use rivers and wells as their water
    supply
  • Heavy rainfall starting in November 2000

5
2.1. Data
  • total infected cases and deaths from October 13,
    2000 to April 16, 2001

6
  • ratio of total deaths to total number of infected
    people decreased, then stabilized

7
3. Models
8
3.1 SIR model
4
accumulative infectives c(t), fitted using SIR,
first trial
x 10
9
raw data
fitted data
8
7
6
  • Fitted a and ß numerically using a integration
    method embedded within a minimization routine
  • a 0.0086 1/day
  • ß 2.2 x 10-7 1/day

5
number of infected
4
3
2
1
0
0
20
40
60
80
100
120
140
160
180
200
days
9
  • Whole susceptible population becomes infected
  • Number of infected increases and decreases over
    time

10
  • Fitted a, ß and S0 using the same method
  • a - 0.025 1/day
  • ß 1.5 x 10-7 1/day
  • S0 82,500
  • Un-physical results
  • a lt 0
  • S0lt total infected.

11
3.2 Modified SIR model (Torres Codeco)
Infected (I)
r
Susceptible (S)
a
e
?(B)
Aquatic toxigenic V. cholerae (B)
m
12
(No Transcript)
13
  • Fitted a, r and e
  • a 1.332 (Codeco a 1)
  • r 0.012 (Codeco r 0.2)
  • Different definition for cholera cases
  • e 0.0654
  • (Codeco e 10)
  • Hospitalizing

14
  • S and I plots similar to SIR model

15
  • Heavy rains and flooding have increased the risk
    of contaminating rivers and drinking wells.
  • The risks are particularly high because many
    villages have no latrines, and human waste mixes
    with floodwaters.
  • 10 million households were cut off from water in
    2001.

16
  • modified e over time to take rainy season into
    consideration

17
  • a 0.110, r 0.319
  • e 1.566 (1sin(2p/365 -0.029))

18
  • Number of susceptibles decreases to 320,000 and
    stays constant
  • Infected population decreases at the beginning
    (start of the epidemic in august!)

19
Control mechanisms
  • Hygienic disposal of human feces
  • Adequate supply of safe drinking water
  • Hygienic measures washing hands, cooking food

20
How do control mechanisms influence the
parameters?
  • Good sanitation reduces parameter e and water
    treatment reduces parameter a.
  • The smaller these parameters are, the larger must
    be the susceptible pool in order to a cholera
    outbreak to develop.

21
4. Conclusions
  • Simple SIR model does not consider transmission
    through water supply.
  • SIR model taking into account the aquatic
    reservoir corresponds to our data
  • Through changing parameter e over time, we
    included the onset of the rainy season in the
    model.
  • FUTURE
  • Taking into account the onset of the epidemic
    (August-October)
  • Seasonal changes also in parameter a
  • Independent estimates for parameters to compare
    with fitted parameters
  • Using the model to fit data from other cholera
    outbreaks

22
References
  • www.who.int
  • www.textbookofbacteriology.net
  • Endemic and epidemic dynamics of cholera the
    role of the aquatic reservoir, Claudia Torres
    Codeco, BMC Infectious Diseases, 2001
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