A Data-Driven Score Model to Assess Online News Articles in Event-Based Surveillance System

Alam, Syed Mehtab; Arsevska, Elena; Roche, Mathieu; Teisseire, Maguelonne

doi:10.1007/978-3-031-04447-2_18

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…Generally, surveillance can be classified into two categories: epidemiological surveillance and genomic surveillance [ 266 , 267 ]. Epidemiological surveillance includes rumor surveillance, monitoring of media sources, and informal and formal reporting networks inside and outside health facilities [ 268 , 269 ]. The current spread of ASF, while not comparable in scale of that of COVID-19, has been detected in several countries across Africa, Asia, and Europe.…”

Section: Disease Surveillancementioning

confidence: 99%

Bridging the Gap: Can COVID-19 Research Help Combat African Swine Fever?

Pakotiprapha,

Kuhaudomlarp,

Tinikul

et al. 2023

Viruses

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African swine fever (ASF) is a highly contagious and economically devastating disease affecting domestic pigs and wild boar, caused by African swine fever virus (ASFV). Despite being harmless to humans, ASF poses significant challenges to the swine industry, due to sudden losses and trade restrictions. The ongoing COVID-19 pandemic has spurred an unparalleled global research effort, yielding remarkable advancements across scientific disciplines. In this review, we explore the potential technological spillover from COVID-19 research into ASF. Specifically, we assess the applicability of the diagnostic tools, vaccine development strategies, and biosecurity measures developed for COVID-19 for combating ASF. Additionally, we discuss the lessons learned from the pandemic in terms of surveillance systems and their implications for managing ASF. By bridging the gap between COVID-19 and ASF research, we highlight the potential for interdisciplinary collaboration and technological spillovers in the battle against ASF.

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