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Table 1 ECF prevalence, incidence and case-fatality rates from studies conducted in traditional crop-livestock and livestock-dependent systems in Kenya

From: Epidemiology of East Coast fever (Theileria parva infection) in Kenya: past, present and the future

Region/Province

District

Prevalence (cattle ages sampled)

Annual incidence rate

Case-fatality rates

Epidemiological factors

References

Lake Victoria basin/ Nyanza region

Rusinga island

>70%

NA

NA

Region very suitable for the tick vector

[6]

 

Rusinga island

NA

22%

21%

 

[7]

 

Kisumu, Siaya and Bondo

60% (4–18 months)

NA

NA

 

[8]

Coastal lowlands/ Coast

Kaloleni/Kilifi

22% - 85% (4–18 months)

NA

NA

Region very suitable for the tick vector

[9]

Western Kenya highlands

Uasin Gishu

60%a, 73%b

32%a, 39%b

NA

Farm management practices influenced epidemiology

[10]

Central highlands (Central Kenya)

Murang’a (AEZ: UM4*)

72% (6–18 months)

90%

16%

AEZ suitability for tick vector differs, age, breed, grazing system

[11, 12]

Western province

Busia district

7% - 8%c

NA

NA

-

[13]

Southern Rift Valley (Maasailand)

Trans Mara

~ 100% <6 months

NA

3%

Age

[14, 15]

Eastern Province (Arid-semi arid region)

Mbeere District

All age categories 4% – 48%

NA

NA

AEZ suitability for tick vector differs, presence of vector tick on the farm, calf tick control frequency, herd size

[16]

 

Machakos District

All age categories 60%

NA

NA

-

[17]

Southern Rift Valley (Maasailand)

Kenya-Tanzania border

NA

NA

30% to 60%

Precipitation levels

[18]

  1. a: Rural area; b: Peri-urban; * Upper midlands 4; c: parasitological data.