20 research outputs found
HDSS-Dogs_SA_2012-2013
This dataset presents data from a Health and Demographic Surveillance System in Dogs (HDSS-Dogs) in Hluvukani settlement in Bushbuckridge Local Municipality, Mpumalanga Province, South Africa, from 1st January 2012 through 1st January 2014. Each row represents one residence episode for a dog in a household or ‘stand’ (a plot or parcel of land). Residence episodes within households begin with birth or in-migration (e.g. purchase or receipt of a dog), and terminate with death or out-migration (e.g. sale or gifting of dog to another household). Data collected are all owner-reported, collected by the study team during regular, repeat visits every 4-6 months (‘rounds’) to all households in the demographic surveillance area
sj-pdf-1-vet-10.1177_03009858221146095 – Supplemental material for Histology, prevalence, and environmental sources for pulmonary silicates depositions in domestic and wild animals
Supplemental material, sj-pdf-1-vet-10.1177_03009858221146095 for Histology, prevalence, and environmental sources for pulmonary silicates depositions in domestic and wild animals by Randall T. Walker, Oscar Illanes, Anne Conan, Bruce H. Williams, David Hilchie and Pompei Bolfa in Veterinary Pathology</p
Owner-reported (A) and simulated (B, C) rabies vaccination coverage in owned dogs in the demographic surveillance area, from 1<sup>st</sup> January 2012 to 1<sup>st</sup> January 2014.
<p>Coverage estimates assume a duration of protective immunity of three years following vaccination. Shaded areas represent minimum/maximum coverage based on 1,000 Monte Carlo simulations. Horizontal dashed line shows the theoretical critical vaccination threshold of 40%. A. Owner-reported vaccination coverage. B. Results of a simulated vaccination campaign on 1<sup>st</sup> January 2012, reaching a randomly-selected 70% of the dog population present on that date. C. Results of simulated vaccination campaigns on 1<sup>st</sup> January 2012 and on 1<sup>st</sup> January 2013, reaching a randomly-selected 70% of the dog population present on those dates.</p
Location of the owned dog demographic surveillance area (DSA) in Hluvukani, South Africa, and of all stands within the DSA.
<p>Location of the owned dog demographic surveillance area (DSA) in Hluvukani, South Africa, and of all stands within the DSA.</p
Demographic characteristics of the owned dog population present in the demographic surveillance area (DSA) on the first day of each quarter, from 1<sup>st</sup> January 2012 to 1<sup>st</sup> January 2014.
<p>* Males per female</p><p>Demographic characteristics of the owned dog population present in the demographic surveillance area (DSA) on the first day of each quarter, from 1<sup>st</sup> January 2012 to 1<sup>st</sup> January 2014.</p
Owner-reported causes of death of owned dogs in the demographic surveillance area, from 1<sup>st</sup> January 2012 to 1<sup>st</sup> January 2014.
<p>Owner-reported causes of death of owned dogs in the demographic surveillance area, from 1<sup>st</sup> January 2012 to 1<sup>st</sup> January 2014.</p
Entry (top panel) and exit (bottom panel) events of owned dogs from households in the demographic surveillance area, from 1<sup>st</sup> January 2012 to 1<sup>st</sup> January 2014.
<p>Entry (top panel) and exit (bottom panel) events of owned dogs from households in the demographic surveillance area, from 1<sup>st</sup> January 2012 to 1<sup>st</sup> January 2014.</p
Bar charts showing the distribution of cases with documented and undocumented (including asymptomatic) dates of symptom onset within the population.
<p>(a) gender of cases, (b) age group of cases in years, (c) education level of cases: No schooling (N), Primary school (P), Secondary school (S), (d) occupation of cases: Student (S), Stay at home (H), Factory worker (W), Construction worker (C), Child (Ch), Vendor (V), Farmer (F).</p
Parameters and values used in numerical simulations.
<p>Parameters and values used in numerical simulations.</p
Events and rates in the stochastic model.
<p>Events and rates in the stochastic model.</p