Literature DB >> 27350507

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

Nassif Hossain1, Mowafa Househ2.   

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.

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Mesh:

Year:  2016        PMID: 27350507

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

Review 1.  Dynamics of scientific publications on the MERS-CoV outbreaks in Saudi Arabia.

Authors:  Ali A Rabaan; Shamsah H Al-Ahmed; Ali M Bazzi; Jaffar A Al-Tawfiq
Journal:  J Infect Public Health       Date:  2017-06-24       Impact factor: 3.718

2.  An updated roadmap for MERS-CoV research and product development: focus on diagnostics.

Authors:  Cassandra Kelly-Cirino; Laura T Mazzola; Arlene Chua; Christopher J Oxenford; Maria D Van Kerkhove
Journal:  BMJ Glob Health       Date:  2019-02-01

3.  Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics.

Authors:  Maged N Kamel Boulos; Estella M Geraghty
Journal:  Int J Health Geogr       Date:  2020-03-11       Impact factor: 3.918

4.  Deep Learning and Medical Image Processing for Coronavirus (COVID-19) Pandemic: A Survey.

Authors:  Sweta Bhattacharya; Praveen Kumar Reddy Maddikunta; Quoc-Viet Pham; Thippa Reddy Gadekallu; Siva Rama Krishnan S; Chiranji Lal Chowdhary; Mamoun Alazab; Md Jalil Piran
Journal:  Sustain Cities Soc       Date:  2020-11-05       Impact factor: 7.587

5.  What Can COVID-19 Teach Us about Using AI in Pandemics?

Authors:  Krzysztof Laudanski; Gregory Shea; Matthew DiMeglio; Mariana Rastrepo; Cassie Solomon
Journal:  Healthcare (Basel)       Date:  2020-12-01

Review 6.  Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies.

Authors:  Hyeoun-Ae Park; Hyesil Jung; Jeongah On; Seul Ki Park; Hannah Kang
Journal:  Healthc Inform Res       Date:  2018-10-31
  6 in total

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