TY - JOUR
T1 - Spatio-temporal analysis of Salmonella surveillance data in Thailand
AU - Coutinho Calado Domingues, Ana Rita
AU - Vieira, Antonio
AU - Hendriksen, Rene S.
AU - Pulsrikarn, C.
AU - Aarestrup, Frank Møller
PY - 2014
Y1 - 2014
N2 - This study evaluates the usefulness of spatio-temporal statistical tools to detect outbreaks using routine surveillance data where limited epidemiological information is available. A dataset from 2002 to 2007 containing information regarding date, origin, source and serotype of 29 586 Salmonella isolates from Thailand was analysed. Data was grouped into human and non-human categories and the analysis was performed for the top five occurring serovars for each year of the study period. A total 91 human and 39 non-human significant spatio-temporal clusters were observed, accounting for 11% and 16% of the isolates, respectively. Serovar-specific associations between human and non-human clusters were also evaluated. Results show that these statistical tools can provide information for use in outbreak prevention and detection, in countries where only limited data is available. Moreover, it is suggested that monitoring non-human reservoirs can be relevant in predicting future Salmonella human cases.
AB - This study evaluates the usefulness of spatio-temporal statistical tools to detect outbreaks using routine surveillance data where limited epidemiological information is available. A dataset from 2002 to 2007 containing information regarding date, origin, source and serotype of 29 586 Salmonella isolates from Thailand was analysed. Data was grouped into human and non-human categories and the analysis was performed for the top five occurring serovars for each year of the study period. A total 91 human and 39 non-human significant spatio-temporal clusters were observed, accounting for 11% and 16% of the isolates, respectively. Serovar-specific associations between human and non-human clusters were also evaluated. Results show that these statistical tools can provide information for use in outbreak prevention and detection, in countries where only limited data is available. Moreover, it is suggested that monitoring non-human reservoirs can be relevant in predicting future Salmonella human cases.
U2 - 10.1017/S095026881300215X
DO - 10.1017/S095026881300215X
M3 - Journal article
SN - 0950-2688
VL - 142
SP - 1614
EP - 1624
JO - Epidemiology and Infection
JF - Epidemiology and Infection
IS - 8
ER -