2017
DOI: 10.21753/vmoa.4.1.435
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Using spatial tools for high impact zoonotic agents’ surveillance design in backyard production systems from central Chile

Abstract: Specific locations of backyard production systems (BPSs) in Chile remain unclear, creating dificulties for designing surveillance activities for promptly detecting zoonotic agents with high impacts on health, such as avian influenza and Salmonella spp. This study aims to prove the use of spatial tools for improving the surveillance of BPSs in central Chile. A stratified and proportional random sampling was performed in 15 provinces of the Valparaiso, Libertador General Bernardo O'Higgins and Metropolitana regi… Show more

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Cited by 5 publications
(9 citation statements)
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“…A proportional stratified random sampling approach was used, based on the 15 provinces included in the study area, using a random allocation of sampling points, as previously described [20]. Equation (1) was used adjusted by equation (2) to estimate the sample size [21]: where n = sample size, Z α = the value of Z α required for confidence level = 1 − α , where α corresponds to the level of confidence; Z α is the percentile of a standard normal distribution (1 − α /2); p = the expected prevalence of the pathogen, q = (1 − p) and L = the precision of the estimation, also known as ‘allowable error’ or ‘margin of error’.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A proportional stratified random sampling approach was used, based on the 15 provinces included in the study area, using a random allocation of sampling points, as previously described [20]. Equation (1) was used adjusted by equation (2) to estimate the sample size [21]: where n = sample size, Z α = the value of Z α required for confidence level = 1 − α , where α corresponds to the level of confidence; Z α is the percentile of a standard normal distribution (1 − α /2); p = the expected prevalence of the pathogen, q = (1 − p) and L = the precision of the estimation, also known as ‘allowable error’ or ‘margin of error’.…”
Section: Methodsmentioning
confidence: 99%
“…in BPS located in central Chile, sample size was calculated based on a prevalence of 50%, ensuring maximum sample size possible when using an estimating a proportion approach [21], a confidence level of 95% and a precision of 5%. Pigs reared on BPS were used for sample size calculation, assuming that they would also breed poultry, the number of BPS, by province, were obtained from the last available agricultural census from 2007 [19, 20]. A final sample size of 329 BPS was used (Table 1).…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, a dataset of 16,289 random geolocations was generated and stratified by province (Figure 1) according to the census information using the Surface Tool in ArcGIS-10 software (Esri, California, USA). This methodology was previously validated in Chile by Alegria-Moran et al (30) indicating that the approach followed a realistic spatial distribution.…”
Section: Geolocationmentioning
confidence: 96%
“…Bernardo O'Higgins. The target population included BPS in central Chile that raised poultry and were no larger than 100 birds (13). According to data from the last agricultural and forestry census in 2007 (Instituto Nacional de Estadísticas), the number of BPS that raise birds in this area was 16.289 units.…”
Section: Study Area and Determination Of Sample Size The Study Was Conducted Between 2013 And 2015 In Central Chile Which Includes The Rementioning
confidence: 99%
“…El estudio fue llevado a cabo entre 2013 y 2015 en la zona central de Chile, que incluye las regiones de Valparaíso, Metropolitana y Libertador General Bernardo O'Higgins. La población objetivo del presente estudio contempló SPT de la zona central de Chile que criaban aves de corral y cuyo tamaño no superaba las 100 aves (13). Según datos del último censo agropecuario y forestal de 2007 (Instituto Nacional de Estadísticas), el número de SPT que crían aves en esta área era de 16.289 unidades.…”
Section: Materiales Y Métodosunclassified