| Literature DB >> 30920176 |
Harvey K Kamboyi1, Michel de Garine-Wichatitsky2,3, Mudenda B Hang'ombe4, Musso Munyeme1.
Abstract
In Zambia, anthrax has emerged as a serious disease decimating humans, livestock and wildlife with devastating effects on eco-tourism resulting in the destabilization of major pristine wildlife sanctuaries. Consequently, the thrust of this study was to establish the spatial distribution of anthrax and determine ecological drivers of its recurrence, maintenance and epidemiological linkage to anthropogenic activities. Environmental and biological samples were collected within the livestock production and conservation areas (n = 80). Each sample was serially tested for Bacillus anthracis positivity through blood agar culture and Gram stain technique, and then confirmation by multiplex polymerase chain reaction (MPCR). Questionnaires (n = 113) were conducted at independently distinct villages in terms of space and time. Most respondents showed that animals that died from anthrax were not properly disposed off. More likely than not, poverty being the main driver for anthrax carcass dressing and meat distribution contributed to environmental contamination with anthrax spores in areas where the animals subsequently died resulting in further environmental contamination, which is the major source of primary infection for livestock and wildlife. From the samples, 15 pure isolates of anthrax were obtained which were spatially distributed across four districts. Twelve, biologically plausible variables were found to be highly significant on multivariable logistic regression analysis model for questionnaires which included herd size (odds = 10.46; P = 0.005; CI 8.8-16), carcass disposal method (odds = 6.9; P = 0.001; CI = 3.4-9.8), access to veterinary services (odds = 10.87; P = 0.004; CI = 4.8-15.9) and management system (odds = 2.57; P = 0.001; CI = 1.3-7.5). In summary, the majority (78.7%) of anthrax outbreaks were observed in areas with low veterinary services (χ2 = 8.6162, P = 0.013) within the newly created districts of Nalolo, Mwandi and Luampa.Entities:
Keywords: Zambia; anthrax; eco-anthropology; recurrence; risk mapping
Mesh:
Year: 2019 PMID: 30920176 PMCID: PMC6682801 DOI: 10.1002/vms3.168
Source DB: PubMed Journal: Vet Med Sci ISSN: 2053-1095
Figure 1Map of western province of Zambia showing the study area with important physical features.
Risk factors for anthrax in traditional cattle in upper Zambezi basin (questionnaire survey, November 2014 to August 2015, n = 113)
| Risk factor | Levels | n | Percentage | No. of anthrax cases | Percentage of the anthrax cases |
|---|---|---|---|---|---|
| Herd size | 0: ≤30 | 43 | 38.05 | 14 | 18.67 |
| 1: 31–60 | 51 | 45.13 | 41 | 54.67 | |
| 2: 61–90 | 15 | 13.27 | 16 | 21.33 | |
| 3: ≥91 | 4 | 3.54 | 4 | 5.33 | |
| Management system | 0: Transhumance | 75 | 66.37 | 63 | 85.11 |
| 1: Free range | 38 | 33.63 | 12 | 14.89 | |
| Grazing distance | 0: ≤5 km | 40 | 35.21 | 11 | 14.89 |
| 1: >5 km | 73 | 64.79 | 64 | 85.11 | |
| Grazing duration | 0: <1 month | 38 | 33.8 | 11 | 14.89 |
| 1: 1–2 months | 6 | 5.63 | 3 | 4.26 | |
| 2: >2 months | 68 | 60.56 | 61 | 80.85 | |
| Grazing months | 0: April to Nov | 62 | 54.93 | 53 | 70.21 |
| 1: Aug to Dec | 8 | 7.04 | 5 | 6.38 | |
| 2: Non‐specific | 43 | 38.03 | 18 | 23.41 | |
| Year of observation | 0: 2010 – 2014 | 88 | 77.46 | 64 | 85.11 |
| 1: 2004 – 2009 | 25 | 22.54 | 11 | 14.89 | |
| Kraal mortality numbers | 0: ≤ 10 | 75 | 66.67 | 49 | 65.96 |
| 1: 11–50 | 35 | 31.25 | 24 | 31.91 | |
| 2: ≥ 50 | 3 | 2.08 | 2 | 2.13 | |
| Village mortality numbers | 0: ≤ 10 | 39 | 43.66 | 41 | 55.32 |
| 1: 11–50 | 27 | 23.94 | 24 | 31.91 | |
| 2: ≥ 50 | 37 | 32.39 | 10 | 12.77 | |
| Disease management | 0: Treatment | 74 | 65.38 | 49 | 65.96 |
| 1: Do nothing | 26 | 34.62 | 26 | 34.04 | |
| Carcass disposal | 0: Dressed | 104 | 92 | 69 | 91.49 |
| 1: Disposed | 9 | 8 | 6 | 8.51 | |
| Vet‐services | 0: None | 44 | 39.44 | 37 | 48.94 |
| 1: Low‐Med | 32 | 28.17 | 22 | 29.79 | |
| 2: High | 37 | 32.39 | 16 | 21.77 |
Final multivariate logistic regression analysis of risk factors for anthrax outbreaks in cattle
| Risk factor | SE | Odds |
| 95% CI |
|---|---|---|---|---|
| Herd size | 0.1 | 10.46 | 0.005 | 8.8–16 |
| Management system | 0.05 | 2.57 | 0.001 | 1.3–7.5 |
| Grazing distance | 1 | 14.99 | 0.0001 | 7.3–24.4 |
| Grazing duration | 1.9 | 14.84 | 0.0001 | 5.4–17.58 |
| Grazing months | 2.1 | 4.08 | 0.001 | 2.8–7.3 |
| Year of observation | 0.8 | 3.1 | 0.003 | 1.5–4.9 |
| Kraal mortality | 2.57 | 17.96 | 0.001 | 15.4–27.9 |
| Village | 1.36 | 5.69 | 0.0001 | 3.6–7.2 |
| Disease management | 0.42 | 4.32 | 0.02 | 2.2–6.2 |
| Carcass disposal | 1.23 | 6.9 | 0.001 | 3.4–9.8 |
| Vet‐services | 0.6 | 10.87 | 0.004 | 4.8–15.9 |
Not significant (P > 0.05), Likelihood ratio = 45.91.
Number of observations in the model = 113.
Hosmer–Lemeshow chi2 (8) = 6.71, Prob > chi2 = 0.938.
Figure 2(a) A cow that died from anthrax with visible blood oozing from the anus and was heavily bloated. (b) Smoked beef from an anthrax carcass, Nakapungu village, −16.19932S 23.17062E Sioma Ngwezi district 2015.
Figure 3(a) Greyish white non‐haemolytic colonies of Bacillus anthracis on blood agar and (b) Gram positive B. anthracis rods at ×100.
Figure 4Multiplex PCR products, positive sample showing characteristic separation into four clear gene bands at the same level as the positive control. Negative samples had less or more than four unclear gene bands at different levels.
Figure 5Spatial distribution of anthrax at village level. The yellow dots indicate the coverage of the sampling exercise (both within and outside the KAZA‐TFCA), whereas the red crosses represent samples that tested positive on PCR (refer to Table 3).
Biological and environmental sample that tested positive for Bacillus anthracis
| SN | ID | District | Latitude (S) | Longitude (E) | Sample |
|---|---|---|---|---|---|
| 1 | Mbende | Sioma Ngwezi | −16.4523 | 23.40017 | Soil |
| 2 | Mbende | Sioma Ngwezi | −16.4523 | 23.40017 | Horn |
| 3 | Katolo | Mwandi | −17.1593 | 24.52506 | Soil |
| 4 | Katolo | Mwandi | −17.1596 | 24.52514 | Soil |
| 5 | Nambwele | Sioma Ngwezi | −16.20358 | 23.19485 | Soil |
| 6 | Nangweshi Field 2 | Sioma Ngwezi | −16.34428 | 23.34861 | Soil |
| 7 | Nakapungu Kalongola 3 | Sioma Ngwezi | −16.19932 | 23.17062 | Ear |
| 8 | Nakapungu Kalongola 4 | Sioma Ngwezi | −16.19932 | 23.17062 | Spleen |
| 9 | Libunguta | Senanga | −15.83903 | 23.26246 | Soil |
| 10 | Libunguta | Senanga | −15.83807 | 23.26484 | Water |
| 11 | ZibaZako Grave | Nalolo | −16.10482 | 23.10377 | Soil |
| 12 | Maombe | Nalolo | −16.23252 | 23.07052 | Soil |
| 13 | Luampa | Kaoma | −15.039 | 24.434 | Soil |
| 14 | Namando | Kaoma | −15.239 | 24.565 | Ear |
| 15 | Nalwashi | Sioma Ngwezi | −16.374 | 23.039 | Soil |