449e499b2465791f75d36aa344f65d6a.ppt
- Количество слайдов: 32
AIACC AF 91 HEALTH Presented by Dr. A. K Githeko Ph. D Head: Climate and Human Health Research Unit, Kenya Medical Research Institute
Scope of primary data collection n Indicators of wealth Knowledge, attitude and practice Impacts This presentation will focus on malaria in Western Kenya Highlands
A typical malaria epidemic in Western Kenya
Factors affecting Malaria impacts n n n n Geographic location Climate variability Quality of housing Vector control Immunity Accuracy of diagnoses Availability of medical facilities n n n Accessibility of health facilities Efficacy of drugs Affordability of drugs Frequency of infections Size of susceptible population
Parameterization of factors n n n The contributing factors to vulnerability will be converted into numerical parameters reflecting their linearity or non-linearity Summation of the factors will provide a composite index of estimating vulnerability This index is a measure of departure from the ideal health conditions required for adaptation
Risk parameterization matrix House location Hill Mid-hill Valley Population Risk freq level 32. 5% 48. 3% 19. 3% 0. 26 0. 40 0. 70 Max Temp Anomaly 1 2 3 4 Level of risk O. 03 0. 13 0. 30 0. 54
Conceptual framework n n Exposure + vulnerability = Disease (Impacts) Adaptation is the ability to reduce exposure and vulnerability to diseases Exposure to infection is reduced by vector control Disease is controlled with effective drugs
Location of households
Level of education
Marital status
Number of people in house hold
Source of income
Total cash per month
Proportion of families without enough food in some days
Land ownership
Access to information
House quality
Accessibility of health facilities Type of facility Proportion of people using facility Dispensary 64. 9 Health Centre 33. 4 Accessibility Owner of by foot facility 98 GK
Proportion of people visiting or admitted in hospitals in the last three months
Cost of last treatment in K. Sh
How do you consider the cost of treatment ? Fair 24. 5% High 72. 7%
How do you cope with more malaria ? Sell some animals Sell some food 30% 56. 1%
Drugs bought for self treatment
Awareness about malaria treatment and prevention Category Linking health and weather Correct treatment of malaria Prevention with bed nets Malaria is a serious diseases Proportion aware % 94. 5 71 23. 1 96
Number of bed nets per house
Other malaria control methods Method Indoor spraying IRS Proportion using method 0 Mosquito coils 3. 3 Bush clearing 62. 3 Drainage 11. 3 Screening 0. 7
Future directions in data collection
Anomalies in Max temperatures in Western Kenya
Frequency of = >3 C events: observed and expected: Possible scenarios
Increase in significant events per decade follows an exponential model
Malaria outbreaks occur after positive maximum temperature anomalies
Acknowledgement n n n n Faith Githui MSc Ph. D trainee Richard Oriedo MSc Ph. D Trainee James Kathuri MSc Eugene Apindi BSc Lydia Olaka MSc Dr. Maggie Opondo Ph. D Dr. Dan Olago Ph. D Prof. Shem Wandiga
449e499b2465791f75d36aa344f65d6a.ppt