A spatiotemporal analysis of cattle herd movement in relation to drinking-water sources: implications for Cryptosporidium control in rural Kenya

Environ Sci Pollut Res Int. 2022 May;29(23):34314-34324. doi: 10.1007/s11356-021-17888-3. Epub 2022 Jan 17.

Abstract

Given the increasing evidence that domestic contact with livestock is a risk factor for child diarrhoea in low- and middle-income countries, there have been calls for greater quantification of human-livestock contact in such countries. This study aimed to quantify seasonality in cattle proximity to domestic water sources and household compounds and develop a preliminary landscape model of faecal deposition by cattle. A total of 120 cattle in smallholder herds in the Asembo area of Siaya County, Kenya, were tracked over 1 week in April 2018 to July 2018 and November 2018 to February 2019 using GPS tracking devices. Dung deposition and behaviour were observed among 33 cattle from these herds over 185.4 hours. Mean cattle home ranges were small at 3.78 km2 and 5.85 km2 in the wet and dry seasons, respectively. There were significant differences between seasons in home range size, distance travelled from the household, and time spent tethered, but not in the time spent at domestic water sources or home range overlap with other herds. On average, 0.76 dung deposition events/hour were observed, with higher frequency in bulls. Variation in cattle proximity to household compounds and water sources did not account for seasonal variation in child diarrhoea in this population. The preliminary landscape model of faecal deposition by cattle could be further developed to inform interventions for safe separation of livestock and people, such as fencing and separate water troughs.

Keywords: Animal movement; Cryptosporidium; Kenya; Landscape; Livestock; Water contamination.

MeSH terms

  • Animals
  • Cattle
  • Cryptosporidiosis*
  • Cryptosporidium*
  • Diarrhea / epidemiology
  • Diarrhea / veterinary
  • Drinking Water*
  • Humans
  • Kenya
  • Livestock
  • Male
  • Spatio-Temporal Analysis

Substances

  • Drinking Water