2006
DOI: 10.2460/javma.229.7.1090
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Evaluation of ProMED-mail as an electronic early warning system for emerging animal diseases: 1996 to 2004

Abstract: ProMED-mail provided global coverage, but gaps in coverage for individual countries were detected. The value of a global electronic reporting system for monitoring emerging diseases over a 9-year period illustrated how new technologies can augment disease surveillance strategies. The number of animal and zoonotic diseases highlights the importance of animals in the study of emerging diseases.

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Cited by 47 publications
(38 citation statements)
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“…As such, PMM has been noted by others as a useful benchmark for assessment studies due to its record of reporting accuracy (Brownstein et al 2009, Collier 2010. In particular, PMM has been noted for its local coverage of China and India outbreak events in spite of the potential language barriers (Cowen et al 2006, Collier 2010.…”
Section: Surveillance Performance á Methodsmentioning
confidence: 97%
“…As such, PMM has been noted by others as a useful benchmark for assessment studies due to its record of reporting accuracy (Brownstein et al 2009, Collier 2010. In particular, PMM has been noted for its local coverage of China and India outbreak events in spite of the potential language barriers (Cowen et al 2006, Collier 2010.…”
Section: Surveillance Performance á Methodsmentioning
confidence: 97%
“…The primary data sources were (1) the Morbidity and Mortality Weekly Reports (MMWR), a CDC official publication also used by Dato et al [9], and (2) ProMed-Mail [14], a moderated open-source system that has been validated as a useful and accurate source of information in prior research, including in the study conducted by Cowen et al [14].…”
Section: Data Sourcesmentioning
confidence: 99%
“…For infectious diseases with pandemic potential, different surveillance concepts exist; for example symptom surveillance [17] or global surveillance for gathering information about emerging infections [18,19]. The current analysis focused on national surveillance measures for gathering data on the disease burden by analysing national laboratory or hospital recordings.…”
Section: Early Case Detection and Disease Surveillancementioning
confidence: 99%