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Measles Case Study: Afghanistan

Measles Case Study: Afghanistan

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Measles Case Study: Afghanistan. Afghanistan Case Study. Question 1 Are you concerned?. Is vaccination coverage really high? What was vaccine effectiveness Every year susceptible accumulating Case fatality rates may be high because of malnutrition Diarrhea may contribute to malnutrition - PowerPoint PPT Presentation

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Page 1: Measles Case Study: Afghanistan

Measles Case Study: Afghanistan

Page 2: Measles Case Study: Afghanistan

Afghanistan Case Study

Page 3: Measles Case Study: Afghanistan

Question 1Are you concerned?

• Is vaccination coverage really high?• What was vaccine effectiveness• Every year susceptible accumulating• Case fatality rates may be high because of

malnutrition• Diarrhea may contribute to malnutrition• Access to good case management?• One micronutrient deficiency may mean more

Page 4: Measles Case Study: Afghanistan

Question 2What activities?

• Order supplies• Microplanning• Inform and mobilize community leaders• Training• Social mobilization• Pre-positioning of supplies• Vaccine delivery• Campaign• Supervision• Collection of results• Return of equipment

Page 5: Measles Case Study: Afghanistan

CampTarget pop

Teams

Super Doses AD Syr Cold

(vials) syr Dilution boxes

Mukjar 27,225 13 5 1,911 38,224 1,911 3

Omar 18,900 9 3 1,327 26,536 1,327 2

Logar 6,750 7 3 474 9,477 474 2

Kapisa 4,500 5 2 316 6,318 316 1

Total 57,375 34 13 4,028 80,555 4,028 8

Supply Table – Part 1

Page 6: Measles Case Study: Afghanistan

VaccineIce

packs Vit A Vit A Cars Ice pack

carriers 100,000 IU 200,000 IU freezers

26 254 1,210 10,890 1 1

18 172 840 7,560 1 1

14 156 300 2,700 1 1

10 90 200 1,800 1 1

68 672 2,550 22,950 4 4

Supply Table – Part 2

Page 7: Measles Case Study: Afghanistan

Question 4Vulnerable Groups?

• Malnourished

• Sick

• Child headed households

• Female headed households

• Minority populations

• Mobile populations

Page 8: Measles Case Study: Afghanistan

Question 9Calculate number of susceptibles

127,500 X .18 = 22,860

Vaccinated: 22,860 X .90 = 20,574

Protected: 20,574 X .90 = 18,517

Unprotected: = 22,860 – 18,517 = 4,344

Deaths 4,344 X .05 = 218