Fig 1.
Life-cycle of cystic echinococcosis, involving definitive hosts (Canidae species), intermediate hosts (sheep and dogs) and humans.
Table 1.
List of collected variables, in association with variable definition and macroarea of argument based on source of collection: Slaughterhouse, National Italian Database (BDN), hospital discharge records (HDRs), and National Institute of Statistics (ISTAT).
Fig 2.
BetaBuster software output derived from mode of 0.19 and 95% certainty of the value being less than 0.4.
Obtaining beta parameters (3.9968, 13.7759).
Fig 3.
Baseline distribution of Sardinian farm main characteristics, including number of infected farms, number of total sheep, number of total sheep farms, and number of CE cases in the human population, by province.
Table 2.
Descriptive analysis of baseline variables collected in Sardinian provinces from 2010 to 2015.
Data are presented as mean (standard deviation [SD]); median (interquartile range [IQR]) per year.
Fig 4.
Choropleth map of average sample tau distribution and regional cystic echinococcosis (CE) prevalence estimation by Bayesian modelling.
Fig 5.
Plots of the median sample tau distribution and regional cystic echinococcosis (CE) prevalence estimation by Bayesian modelling.
a. Abruzzo; b. Basilicata; c. Calabria; d. Campania; e. Emilia Romagna; f. Lazio; g. Lombardia; h. Marche; i. Molise; j. Piemonte; k. Puglia; l. Umbria; m. Veneto.
Table 3.
Coefficient estimation, confidence interval and p-value arising from negative binomial regression modelling (NBRM), fitted on Sardinian cystic echinococcosis (CE) data.
Data are presented as β regression coefficient with 95% confidence interval, and p-value.
Table 4.
Predicted prevalence of cystic echinococcosis in Italian farms stratified by region and presented as median with 95% Bayesian credible interval.