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Using HealthMap to Analyse Middle East Respiratory Syndrome (MERS) Data.

Identifieur interne : 001675 ( Ncbi/Checkpoint ); précédent : 001674; suivant : 001676

Using HealthMap to Analyse Middle East Respiratory Syndrome (MERS) Data.

Auteurs : Nassif Hossain [Australie] ; Mowafa Househ [Arabie saoudite]

Source :

RBID : pubmed:27350507

Descripteurs français

English descriptors

Abstract

In this paper, a web-based disease surveillance platform known as HealthMap is used to retrieve and analyze data pertaining to the Middle East Respiratory Syndrome (MERS) within the geographical confinements of the Arab World and North African countries. An account was opened with HealthMap to gain access to data related to MERS for the time-period 9 September 2015 to 7 March 2015. HealthMap accumulates and assesses outbreak data from a range of sources, this includes news media (Google News (Arabic)), validated official alerts (WHO) and expert-curated accounts (ProMED). Search terms "MERS" and "Coronavirus" were used to search HealthMap for relevant alerts pertaining to MERS. The search terms were geographically limited to the Arab World and North African countries. Our results show that the prevalence of MERS still remains to be the highest in Saudi Arabia, however, between 9 September 2015 and 7 March 2015 there has been a slight overall trend in decreasing number of MERS related alerts within Saudi Arabia and the Arab world. All countries other than Saudi Arabia such as, UAE, Tunisia, Qatar, Oman, Lebanon, Kuwait, Jordan and Egypt together amounted for only 25.6% (n=214) of total MERS alerts (n=837). Our findings show that the rise in the aggregated contribution of internet based participatory surveillance systems for tracking non-communicable diseases such as MERS has aided in improving the accuracy, sensitivity and timeliness for monitoring disease outbreaks. Use of resources such as HealthMap can aid in the timely assessment of risk factors, vaccination development initiatives, prevention strategies and measured allocation of healthcare resources while running at a low cost with greater flexibility and increased scalability compared to isolated diseases surveillance systems.

PubMed: 27350507


Affiliations:


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pubmed:27350507

Le document en format XML

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<div type="abstract" xml:lang="en">In this paper, a web-based disease surveillance platform known as HealthMap is used to retrieve and analyze data pertaining to the Middle East Respiratory Syndrome (MERS) within the geographical confinements of the Arab World and North African countries. An account was opened with HealthMap to gain access to data related to MERS for the time-period 9 September 2015 to 7 March 2015. HealthMap accumulates and assesses outbreak data from a range of sources, this includes news media (Google News (Arabic)), validated official alerts (WHO) and expert-curated accounts (ProMED). Search terms "MERS" and "Coronavirus" were used to search HealthMap for relevant alerts pertaining to MERS. The search terms were geographically limited to the Arab World and North African countries. Our results show that the prevalence of MERS still remains to be the highest in Saudi Arabia, however, between 9 September 2015 and 7 March 2015 there has been a slight overall trend in decreasing number of MERS related alerts within Saudi Arabia and the Arab world. All countries other than Saudi Arabia such as, UAE, Tunisia, Qatar, Oman, Lebanon, Kuwait, Jordan and Egypt together amounted for only 25.6% (n=214) of total MERS alerts (n=837). Our findings show that the rise in the aggregated contribution of internet based participatory surveillance systems for tracking non-communicable diseases such as MERS has aided in improving the accuracy, sensitivity and timeliness for monitoring disease outbreaks. Use of resources such as HealthMap can aid in the timely assessment of risk factors, vaccination development initiatives, prevention strategies and measured allocation of healthcare resources while running at a low cost with greater flexibility and increased scalability compared to isolated diseases surveillance systems. </div>
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