2018
DOI: 10.3389/fpubh.2018.00090
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Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature

Abstract: AimAccording to the World Health Organization (WHO), communicable tropical and sub-tropical diseases occur solely, or mainly in the tropics, thriving in hot, and humid conditions. Some of these disorders termed as neglected tropical diseases are particularly overlooked. Communicable tropical/sub-tropical diseases represent a diverse group of communicable disorders occurring in 149 countries, favored by tropical and sub-tropical conditions, affecting more than one billion people and imposing a dramatic societal… Show more

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Cited by 34 publications
(26 citation statements)
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“…There are various types of Big Data, based on their sources: (i) molecular Big Data (obtained by means of wet-lab techniques and OMICS-based approaches, such as genomics, and post-genomics specialties, including proteomics, and interactomics); (ii) imaging-based Big Data (like radiomics or the massive data-mining approach to extract clinically meaningful, high-dimensional information from images); (iii) sensor-based Big Data (wearable sensors); and (iv) digital and computational Big Data (with an incredible wealth of data produced by the internet, smart phones, and other mobile devices) [10][11][12][13].…”
Section: The Currently Ongoing Covid-19 Outbreakmentioning
confidence: 99%
“…There are various types of Big Data, based on their sources: (i) molecular Big Data (obtained by means of wet-lab techniques and OMICS-based approaches, such as genomics, and post-genomics specialties, including proteomics, and interactomics); (ii) imaging-based Big Data (like radiomics or the massive data-mining approach to extract clinically meaningful, high-dimensional information from images); (iii) sensor-based Big Data (wearable sensors); and (iv) digital and computational Big Data (with an incredible wealth of data produced by the internet, smart phones, and other mobile devices) [10][11][12][13].…”
Section: The Currently Ongoing Covid-19 Outbreakmentioning
confidence: 99%
“…These digital health technologies also have indirect effect by updating timely information, and optimizing transportation network to manage the NTDs. Within the era of digital health, a new source of information such as web searches generated data or social media updates, are emerging as a new promising approach in surveillance, and decision-making support for NTDs [ 39 , 40 ].…”
Section: Discussionmentioning
confidence: 99%
“…The same conclusion was drawn during the Ebola outbreak [ 31 ]. In a systematic review on the use of novel data streams for tropical and subtropical communicable diseases [ 32 ], 24 studies were related to arbovirus infections with the majority (16) of them exploring the use of NDS for ZIKV and one for CHIKV infection. In the latter study [ 33 ], the Twitter monitoring was used to integrate a spatio-temporal model as a proxy of human behavior against mosquitoes during the 2014 outbreak in Martinique.…”
Section: Non-traditional Data Sourcesmentioning
confidence: 99%