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Mapping of Rift valley fever risk areas in
Somaliland
Thesis
STVS
BY: Osman Abdulahi FarahRoll number: STVS/0087
Supervisor Dr. Ismail kan
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introduction
Rift Valley fever (RVF) is a per acute or acute disease
of domestic animals in Africa and Madagascar, caused
by a mosquito- borne virus and characterized hepatitis
and haemorrhagic state, but infection are frequently in
apparent or mild, RVF affect sheep, goat, cattle camel,
Wild ruminants, buffaloes and human.
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introduction
RVF is a member of the phlebovirus of the Family
Bunyaviriadae. It is spread by the bite of infected
mosquitoes, typically the Aedes or Culex genera.
The mode of RVF virus transmission may be vector-
borne, or from direct contact with body fluids of infectedanimals.
Signs of disease is anorexia, photophobia weakness and
excessive salivation, but Human, comma, muscle pain,
ocular discharge
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General and Specific
Objectives
The general objectives of this mini thesis is to show
areas of risk of rift valley fever in Somaliland
Specific is To indicate high risk areas in Somaliland
regions by using ArcGIS software.
To indicate prevalence of surveyed four regions
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Table 1: Structure of the different administrative levelsof sampling
Included in
the above
administrat
ive level
Region District Location Sites
Total
4
12
30
900
Mode Nill 164 30 313Average 225 75 30 331Range 198 134 5 38
Material and Methods
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Table 2: List of relevant variables included in the database
along with the number of observations available
Variable Number of samples for
which it was recorded
% of samples for which it
was recorded
LocalizationRegion 900 100%
District 900 100%
Location 900 100%
Site 900 100%
Species
Goat 456 51%
Sheep 444 49%
Age 1-5
Sex
Male 356 40%
Material and Methods
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Material and Methods
Data Collection
The input of data was obtained from SAHSP office in
Hargeisa, where relevant information was expected to
be available Data Management and Analysis
Data from SAHSP were managed and entered into
databases by using ArcGIS version 9.3.1 due to short
time of study. For the statistical analysis the softwareStata IC/11Also were used data input of excel
Microsoft.
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Administrative structure of
Somaliland The Somaliland administrative structure has
frequently been subject to Modification, to
this serological study of mapping RVF thereare 4 regions composed of (12) districts.
Each region composed 30 locations and out of
this four districts were collected 900 samples.
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RESULTS
Regions
Number of samples
collected in each region and
% of the whole survey
Prevalence with 95%
Confidence Intervals
Hargeisa 60 (7%) 0.15 (0.05-0.25)
Sanaag 318 (35%) 0.116352201 (0.11-0.15)
Sool 270 (30%) 0.1858185185 (0.18-0.25)
Togdheer 252 (28%) 0.107142827 (0.10-0.14)
Total 900 0.1367 (0.13-0.15)
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RESULTS
Map 5 shows Somaliland Rift Valley Risk Areas
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RESULTS
Map3 shows Rift Valley Risk sites serological status
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DISCUSSION
the study has shown that the sool(0.18.5) and
Maroodi jeex(0.15) are the highest risk areas of
rift Valley fever disease compared to other
regions such as Sanaag(0.11.6) and
Togdheer(0.10.7) with CI respectively,
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DISCUSSION
prevalence of RVF in four surveyed regions inSomaliland with their interval confidence respectively,shows that Sool 0.18%, (0.18-0.25,
Hargiesa 0.15%(0.05-0.25) Sanaag 0.11.6% (0.11-0.15),Togdheer 0.10.%(0.10-0.14),
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CONCLUSION This study was aimed at producing by mapping risk
areas of RVF disease in Somaliland regions, so that itcan help to improve the management and control ofRVF vector in those four regions, although the
environment drivers that determine the life cycle of thevector with high risks as result of this study of mappingusing arcGIS, like Sool, Sanaag and Togdheer regions.
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Recommendation
Based on finding of this study of mapping risk areas
four of Somaliland regions, following
recommendations were given as follows
Ministry of livestock and local NGOs should developthe capacity to use ArcGIS technologies for the
effective identification ecological of mosquito born
diseasein those regions.
Those four regions were at risk to RVF, so insecticidesshould be provided to avoid human.
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