A Review on Event-Based Epidemic Surveillance Systems that Support the Arabic Language

Alruily, Meshrif

doi:10.14569/ijacsa.2018.0911102

Cited by 2 publications

(1 citation statement)

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“…Sensitivity and timeliness of detection were therefore limited given some events would not have been detected or subject to delay until signals were in English. However, language restrictions are not unique to Nigeria’s EBS system ( 16 ).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of National Event-Based Surveillance, Nigeria, 2016–2018

Beebeejaun¹,

Elston²,

Oliver³

et al. 2021

Emerg. Infect. Dis.

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Nigeria Centres for Disease Control and Prevention established an event-based surveillance (EBS) system in 2016 to supplement traditional surveillance structures. The EBS system is comprised of an internet-based data mining tool and a call center. To evaluate the EBS system for usefulness, simplicity, acceptability, timeliness, and data quality, we performed a descriptive analysis of signals received during September 2017–June 2018. We used questionnaires, semistructured interviews, and direct observation to collect information from EBS staff. Amongst 43,631 raw signals detected, 138 (0.3%) were escalated; 63 (46%) of those were verified as events, including 25 Lassa fever outbreaks and 13 cholera outbreaks. Interviewees provided multiple examples of earlier outbreak detections but suggested notifications and logging could be improved to ensure action. EBS proved effective in detecting outbreaks, but we noted clear opportunities for efficiency gains. We recommend improving signal logging, standardizing processes, and revising outputs to ensure appropriate public health action.

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Section: Discussionmentioning

confidence: 99%