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E P I D E M I C A L E R T A N D R E S P O N S E
Epidemiological surveillance and response in humanitarian crisis
- Dr. Augusto Pinto
FETP Thailand June 2007 Dr. Augusto Pinto CDS/CSR Bangkok sub-unit - - PowerPoint PPT Presentation
Epidemiological surveillance and response in humanitarian crisis FETP Thailand June 2007 Dr. Augusto Pinto CDS/CSR Bangkok sub-unit WHO-SEARO E P I D E M I C A L E R T A N D R E S P O N S E 1 Cours objectives To present the tools for
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Indonesia 2004-05 Darfur 2003-04 Tchechnia 2000 Kosovo / Albania 1999 Rwanda / Zaire 1994 Somalia 1979-81, 1992 Ethiopia / Sudan 1984-85 Cambodia / Thailand 1975
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The ten most deadly conflicts The ten most deadly conflicts
Conflict Years Estimated No
Rwanda 1994 500,000 - 1,000,000 Angola 1992-94 100,000 - 500,000 Somalia 1991-99 48,000 - 300,000 Bosnia 1992-95 35,000 - 250,000 Liberia 1991-6 25,000 - 200,000 Burundi 1993 30,000 - 200,000 Chechnya 1994-6 30,000 - 90,000 Tajikistan 1992-9 20,000 - 120,000 Algeria 1992-99 30,000 - 100,000 Gulf war 1990-1 4,300 - 100,000
Source: Murray et. Al, 2002
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(10 minutes)
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source : Refugee Health, MSF
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adapted after Ockwell, 2002
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(source : Refugee Health, MSF)
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a)
Starting from a corner
b)
Adjust the GPS
c)
Note the coordinates
d)
Move to the next corner
e)
Note the coordinates
f)
Repeat on all perimeter
Latitude 39º38'91" N Longitude 104º40'52"W
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Family shelters Water pumps Collective shelters Health structures patways
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Water pumps High density Collective shelters Health structures patways Low density
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Material and human resources
25m 25m 25m 25m
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Inside Inside Outside Outside
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2 1 2 ^ i m i i T
=
m SE
T T
2 ) (
^ ^
γ γ =
T
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Grais F. et Al. Disasters 2005
Homogeneity of population Quadrat : 15-17 points T square :45-50 points Quadrat: design the quadrat T square : intrusive,
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25m 25m
Material and human resources
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25m 25m
Inside Inside Inside Outside Outside
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Easy to implement Not intrusive Few points 10-15 Quick Accept zero values
Still linked to expensive GIS Computation still laborious
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Running Kriging on the shapefile by using the value of population density Generate the interpolated surface on the study area
The interpolated surface represent the population density in the study area
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Using the grid points to extract the population value from the i Using the grid points to extract the population value from the interpolated surface nterpolated surface
X Y Predicted StdError Error Stdd_Error 530211.87 1477944.04 0.00000000000 0.00250103099 0.00000000000 0.00000000000 530241.87 1477944.04 0.00000000000 0.00219448208 0.00000000000 0.00000000000 530211.87 1477974.04 0.00000000000 0.00222658854 0.00000000000 0.00000000000 530241.87 1477974.04 0.00006889087 0.00175459122 0.00006889087 0.03926320054 530271.87 1477974.04 0.00000000000 0.00127230458 0.00000000000 0.00000000000 530301.87 1477974.04 0.00008977212 0.00167010604 0.00008977212 0.05375234601
Each record represents a point that hold data
Calculate the population based the grid size (e.g. for 30m grid: Estimated population = sum of Predicted pop value * 30* 30) Predicted population density Using GIS to extract value from the interpolated surface
Create a point layer of 30 * 30 sq. meters over the study area
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Thacker SB. Surveillance. In : Gregg MB, editor. Field Epidemiology. New York : Oxford University Press, 1996:16-32.
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General
Control morbidity and mortality due to epidemic prone diseases
Specifics
in need of intervention/response of public health
WHO/MOH/Humanitarian partners to adjust public health intervention
to optimize the resource allocation
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Health event Definition
Acute Watery Diarrhoea Acute watery diarrhoea with severe dehydration in a patients older than five years of age . Diarrhoea with blood (Dysentery) More than 3 loose stools per day (24 hours) with visible blood Acute respiratory infection Fever and at least one of the following : rhinitis, cough, redness or soreness of throat OR Fever and fast breath (> 50 breaths/min) and at least one of the following : cough, difficulty in breathing Suspected Measles Rash with fever and cough, runny nose or conjunctivitis Acute Jaundice syndrome Acute onset of yellows eyes or skin Suspected meningitis 12 months and over: sudden onset of fever (> 38° C) with stiff neck Under 12 months: fever with bulging fontanel AFP Acute flaccid paralysis in a child aged < 15 years, including Guillain Barré syndrome or any acute paralytic illness in a person of any age. Malaria Person with fever or history of fever >38°C within the last 48 hours with one or more of the following symptoms: such as nausea, vomiting and diarrhoea, headache, back joint pain, chills, myalgia) with positive laboratory test for malaria parasites blood film (thick or thin smear) or rapid diagnostic test . Neonatal tetanus Suspected case: Any neonatal death between 3 and 28 days of age in which the cause of death is unknown or any neonate reported as having suffered from neonatal tetanus between 3 and 28 days of age and not investigated Confirmed case: Any neonate with a normal ability to suck and cry during the first two days of life, and who between 3 and 28 days of age cannot suck normally, and becomes stiff or has convulsions or both Injuries Any person with traumas or wounds from any cause that require surgical treatment and hospitalisation Severe malnutrition Malnutrition: In children 6 to 59 months (65cm to 110cm in height): <70%Weight for height (W/H) index OR < –3z scores (on table of NCHS/WHO normalized reference values of weight-for-height by sex). OR MUAC < 11 cm Bilateral pitting oedema irrespective of W/H, in absence of other causes. Unexplained fever Fever (> 38°C) for more than 48 hours and not meeting the above case definitions Others All others medical conditions not meeting the above case definitions This category is used to compute Total Attendance
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Report Data Public health alert
Capture Filter Verify Collect Analyse Interpret Assess
Surveillance: Response Event-based Indicator-based Post-outbreak strengthening
Evaluate Investigate Control
Signal
Strengthen
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event by week
and 5+)
level
geographical level
level,
geographical level
population per week
week
Weekly
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Health Health structures structures reporting reporting Darfur, Darfur, weeks weeks 21 to 30, 2004 21 to 30, 2004
Number IDPs camps (129) Number of reporting units weeks
5 10 15 20 25 30 35 40 45 21 22 23 24 25 26 27 28 29 30 weeks reporting units
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F ig . 4 : N u m b e r o f c a s e s
lo
y d ia rrh
a in A b u S h
k c a m p , N
D a rfu r, fro m w e e k 2 1 s t to 3 th , 2 4
.0 5 .0 1 .0 1 5 .0 2 .0 2 5 .0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 3 w e e k s
Fig 5: Number of cases of Acute Jaundice in Morni, West Darfur, from week 21 to week 30, 2004 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0 21 22 23 24 25 26 27 28 29 30 weeks
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< 5 ans 5 ans et + 10 20 30 15 16 17 18 19 < 5 ans 5 ans et + 1 2 15 16 17 18 19
Proportional morbidity Diarrheas / cardiovascular Number of reported cases
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20 40 60 80 100 120 140 15 16 17 18 19 ONG
5000 10000 15000 20000 25000 30000 15 16 17 18 19
Numbers of consultations Numbers of health structures Weeks Weeks
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Number of cases and deaths in Abushok weeks 21-27, North Darfur
20 40 60 80 100 120 140 160 180 200 220 240 21 22 23 24 25 26 27 weeks BLDIAR DEATHS
Laboratory Confirmed 3 cases Sh. Dys. 1 30 june 5 deaths Under five Increase population 26800 -> 35040
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Prospective data collection Retrospective survey
deaths/10000/jour deaths/10000/jour
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Disasters 2001; 25(2): 164-71
Kosovar refugees in Albania, April-Kune 1999” Eurosurveillance 1999; 4 (9): 92-7
(5): 43-5
surveillance et de réponse. Surveillance épidémiologique lors d’urgences humanitaires, Médecine Tropicale 2002; 62:391-5
June 2003” JAMA. 2003;290:654-8.
« Setting up an early warning system for epidemic-prone diseases in Darfur: a participative approach » Disasters,2005, 29(4): 310-322