Literature DB >> 30228996

Relative importance of wildlife and livestock transmission route of brucellosis in southwestern Uganda.

Pius Mbuya Nina1,2,3, Herwig Leirs4, Samuel Mugisha2, Patrick Van Damme1,5.   

Abstract

The data in brief provides a descriptive summary of the field data collected using Eco-health approach in order to support local effort aimed at creating information base for taking evidence-based decisions, especially in regard to wildlife conservation outside protected area and range resource management. The data were collected between June 2012 and July 2014 on a range of issues including wild animals, livestock, household income and cost of diseases control in cattle. In a nutshell the data article shows spatial pattern of a declining brucellosis prevalence in cattle linked to animal population density with increasing distance away from the Lake Mburo National Park (LMNP) boundary in southwestern Uganda. It is the trend of animal distribution in private land that the pastoralist communities perceived as influencing economic losses associated with diseases affecting cattle production. The pastoralists strongly believe that wild ungulates grazing with cattle outside the park on a daily basis present a potential risk of disease transmission which adversely affects their cherished source of livelihood. This article refers to "Brucellosis in cattle and micro-scale spatial variability of pastoral household income from dairy production in south western Uganda. Acta tropica", Acta Tropica, 2018.

Entities:  

Year:  2018        PMID: 30228996      PMCID: PMC6140798          DOI: 10.1016/j.dib.2018.05.135

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The data variables indicate unique circumstances of brucellosis transmission in cattle and household income that might inform a monitoring plan for local disease control. The data provides information evidencing strong concerns the local communities have regarding the presence of wild species of animals on their private farms and ranches around Lake Mburo National Park in southwestern Uganda. Therefore, the data in this article allows other interested researchers access and use of raw facts in different ways that might extend statistical analysis and subsequently lead to a more comprehensive understanding of pastoralists’ development trajectory at the wildlife-livestock nexus.

Methods and materials

Data

The dataset in this article contains variables such as spatial pattern of wild animals outside the park, livestock species reared in Lake Mburo conservation area and economic losses pastoralist communities incur due to limitations imposed on cattle production by diseases. The Fig. 1 illustrates the study design adopted for animal surveys during the study that generated the data presented herein. Tables 1–4 show the spatial pattern of wild animals’ distribution and proportions of cattle breeds in each distance zone along a gradient from LMNP. Similarly, Tables 5–7 provide descriptive summary and statistics of major cattle diseases in the study area, brucellosis prevalence in cattle and symptomatic abortions.
Fig. 1

Map of Lake Mburo National Park indicating transect lines laid perpendicular to the northern boundary of LMNP for animal survey.

Table 4

Pooled data on density of wild ungulates and livestock per transect (T) and control (C.) lines collected between June 2012 and March 2013.

Species of wild animalsDistance from Park Boundary in Km
0–44–88–1212–1616–2020–24
Zebra - Equus burchelli [T]53.2575.2540.536.7518.50.5
Zebras - Equus burchelli [C]71.7510.516.2527.254.750
Bushbucks - Tragelaphus scriptus [T]17.254.7563.51.251
Bushbucks - Tragelaphus scriptus [C]10.25242.750.750
Impalas - Aepyceros melampus [T]47.7527.25256.51.50
Impalas - Aepyceros melampus [C]10.2596.2526.7522.252.251.75



Domestic animals grazing in the fields
Cows - Mixed Breeds [T]173.25320.25215253.25438.531.25
Cows - Mixed Breeds [C]328.75105.2518838433.750
Goats - Mixed Breeds [T]73.571.7576.562.7563.52
Goats - Mixed Breeds [C]35.25133.566.56661.750
Sheep – Local Breed [T]4.56.25017.52.751.75
Sheep – Local Breed [C]7.756.511.2517.7500

Note:Both wild species and domesticated animals sighted along each of the transects were counted and recorded along T = transect lines walked and C = control lines passing across the transect lines.

Table 7

Abortions in cattle perceived by pastoralists as symptomatic effect of zoonotic brucellosis.

Distance in kmH/steadsAbortions per km2Abortions in 100 cattle
Mean ± SE (95% CI)P-value
0 – 460144.7510.52(9.76–11.26)0.006
4 – 858136.258.25(7.45–9.05)0.014
8 – 1264116.758.30(7.83–8.77)0.025
12 – 166045.254.64(3.66–5.62)0.001
16 – 206229.752.96(2.04–3.88)0.001
20 – 2462202.27(1.75–2.79)0.001

Note: Selected homesteads within each distance zone were the data collection points.

Map of Lake Mburo National Park indicating transect lines laid perpendicular to the northern boundary of LMNP for animal survey. Spatial distribution of cattle breeds along a distance gradient from LMNP boundary. Descriptive summary of cattle breeds, disease risks, milk production and unit price of milk per household per month. Average household expenditure on disease control against income from sale of milk in UGX at each distance category from Lake Mburo National Park boundary. Pooled data on density of wild ungulates and livestock per transect (T) and control (C.) lines collected between June 2012 and March 2013. Note:Both wild species and domesticated animals sighted along each of the transects were counted and recorded along T = transect lines walked and C = control lines passing across the transect lines. Diseases of great concern to the pastoralist communities around Lake Mburo National Park. Brucellosis sero-prevalence in cattle reared within Lake Mburo Conservation Area. Abortions in cattle perceived by pastoralists as symptomatic effect of zoonotic brucellosis. Note: Selected homesteads within each distance zone were the data collection points.

Experimental design, materials and methods

A population survey of wild ungulates was carried out along 3 transect lines in order to determine any spatial association between location of animals and homesteads from Lake Mburo National Park (LMNP) boundary. Wild ungulates sighted on livestock grazing farms/ranches along a distance gradient from the LMNP were counted and recorded from June 2012 to July 2014), using a standard method described by Buckland et al. [2] for estimating animal density and abundance. Three transect lines about 8 km apart were laid perpendicular to the northern boundary of LMNP, since wild animals were dispersed to the ranches and farms located on the northern side of the park (Fig. 1).
Subject areaAgricultural and Biological Sciences
More specific subject areaEcohealth approach to disease control at wildlife-livestock nexus
Type of dataTables, text file and a figure
How data was acquiredTwo data sets were obtained one focusing on serological surveys and another on socio-economics of pastoralist households. The first set of data were collected through serological surveys where blood samples were collected from cattle at household level and analyzed for brucellosis in cattle[4]. Another data set contained socio-economic data which were collected through interviews with respondents from randomly selected households. The households were mapped prior to the study using a hand-held GPS receiver for easy identification. Cattle blood sample were from the same homesteads selected for the interviews. We also surveyed wild animals’ distribution outside protected area using established transect lines[3].
Data formatRaw, filtered and analyzed
Experimental factorsSera were collected from 1962 cattle between August 2012 and June 2013 from 330 homesteads that were proportionately distributed in samples of 55 across six zones along a distance gradient from LMNP. All blood samples were centrifuged and the sera stored at −80°C in the microbiology laboratory of Mbarara University, Mbarara before carrying out screening and subsequent confirmatory tests for brucellosis.
Experimental featuresAn indirect multi-species immunosorbent assay (iELISA) using Brucella S-LPS antigen was developed. Serial testing of the cattle sera for anti-B. abortus antibodies was conducted using the Rose Bengal Plate Test (RBPT)[1], and later confirmed with iELISA. A confirmatory positive sample was one that tested positive for both RBPT and I-ELISA (titers 1:80).
Data source locationKiruhura District of western Uganda
Data accessibilityData are contained within this article
Table 1

Spatial distribution of cattle breeds along a distance gradient from LMNP boundary.

Dependent variablesDistance from Lake Mburo National Park in Km
N0–44–88–1216–2016–2020–24
Number of all cattle26,923550388205451294430901115
Surviving cattle offspring6752143617851620730865316
Abortions in past month190057954546715110435
Indigenous breed of cattle11,5752729370428031079891369
Cross breed of cattle865119473566171780452889
Exotic breed of cattle6844827156095110531779674
Cattle given veterinary services3541717911754433519207
Cattle recovered after the treatment3276619860725415473184
Table 2

Descriptive summary of cattle breeds, disease risks, milk production and unit price of milk per household per month.

ParametersNRangeMinimumMaximumSumMeanStd. errorStd. deviation
Total number of cattle366557055731,11085.004.1779.71
Surviving offspring36580080787321.570.7213.60
Number of abortions in past three months3663503519715.390.315.99
Ankole breed of cattle366357035712,03632.892.4747.28
Cross breed of cattle3664330433988427.012.3344.53
Friesian breed of cattle3663160316933625.511.8334.92
Treated cows in past one month36645045389710.650.387.22
Cows recovered after treatment3664004035679.750.356.71
Milk price in rainy season366470300500149,505408.4813.19252.36
Milk price in dry season366300600900259,900710.114.8192.05
Average milk prices366452450903204,702559.307.66146.48
Table 3

Average household expenditure on disease control against income from sale of milk in UGX at each distance category from Lake Mburo National Park boundary.

NMeanStd. deviationStd. errorMean at 95% CI
MinimumMaximum
Lower boundUpper bound
Total disease control cost0 – 460561500.00370217.8747794.92465862.58657137.420.001500000.00
4 – 858718103.45418127.4354902.82608162.44828044.450.001440000.00
8 – 1264514921.88281314.2235164.28444651.67585192.0885000.001160000.00
12 – 1660483750.00221492.6728594.58426532.38540967.620.001075000.00
16 – 2062473548.39207282.1526324.86420908.58526188.210.00960000.00
20 – 2462446048.39172852.4821952.29402152.08489944.710.00710000.00
Total366530969.95301886.4515779.86499939.10562000.790.001500000.00
Milk sales0 – 460493166.67309107.4739905.60413315.74573017.590.001200000.00
4 – 858621551.72350827.6046065.92529306.31713797.140.001300000.00
8 – 1264745390.63310725.3538840.67667773.74823007.5190000.001500000.00
12 – 1660843000.00742447.4095849.55651205.501034800.060.006000000.00
16 – 2062961612.90548948.9069716.58822205.991101000.600.003000000.00
20 – 2462805645.16271647.2034499.23736659.69874630.630.001400000.00
Total366747254.09475544.2924857.10698373.01796135.210.006000000.00
Table 5

Diseases of great concern to the pastoralist communities around Lake Mburo National Park.

Major diseasesSpatial ranking of cattle diseases ( 0 - 24 km)
0 – 44 – 88 –.1212.– 1616 – 2020 – 24
(n = 60)(n = 58)(n = 64)(n = 60)(n = 62)(n = 62)
Tick & Tick-borne diseases40(66.7%)42(72.4%)47(73.5%)43(71.7%)45(72.6)44(72.6%)
Brucellosis14(33.3%)13(22.4%)13(20.3%)10(16.7%)8(12.9%)9(12.9%)
Foot and mouth2(3.3%)2(3.4%)2(3.1%)3(5%)4(6.5%)4(6.5%)
Others4(6.7%)1(1.7%)2(3.1%)4(6.6%)5(8.1%)5(8.1%)
Table 6

Brucellosis sero-prevalence in cattle reared within Lake Mburo Conservation Area.

Distance (km)TestedSeropositive% PrevalenceSero-positive at household level
MinimumMaximumMean ± SE
0–429217660.27053.26 ± 0.12
4–829115151.89152.80 ± 0.11
8–12.29215252.05152.81 ± 0.11
12–1629211439.04042.11 ± 0.13
16–202929432.19041.74 ± 0.14
20–242917927.15031.45 ± 0.14
  1 in total

1.  Brucellosis in cattle and micro-scale spatial variability of pastoral household income from dairy production in south western Uganda.

Authors:  Pius Mbuya Nina; Samuel Mugisha; Herwig Leirs; Gilbert Isabirye Basuta; Patrick Van Damme
Journal:  Acta Trop       Date:  2016-11-25       Impact factor: 3.112

  1 in total

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