In A Nutshell
A wide range of technologies are being developed and deployed in response to the COVID-19 pandemic. The material presented here is a selection of available resources in the following categories
General ICT Resources
Dashboards and Situational Awareness
Geographic Information Systems
Virtual Collaboration and Telehealth
Note: A summary on telehealth to support covid-19 response is available HERE
Ting et al. (2020). Digital technology and COVID-19[i]
The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.
The year 2020 should have been the start of an exciting decade in medicine and science, with the development and maturation of several digital technologies that can be applied to tackle major clinical problems and diseases. These digital technologies include the Internet of Things (IoT) with next-generation telecommunication networks [eg 5G]; big-data analytics; artificial intelligence (AI) that uses deep learning and blockchain technology. These technologies are highly interrelated: the proliferation of the IoT in devices and instruments in hospitals and clinics facilitates the establishment of a highly interconnected digital ecosystem, enabling real-time data collection at scale, which could then be used by AI and deep learning systems to understand healthcare trends, model risk associations and predict outcomes. This is enhanced by blockchain technology, a back-linked database with cryptographic protocols and a network of distributed computers in different organizations, integrating peer-to-peer networks to ensure that data are copied in multiple physical locations, with modified algorithms to ensure data are secured but traceable.
Reeves et al. (2020). Rapid Response to COVID-19: Health Informatics Support for Outbreak Management in an Academic Health System[ii]
Our [San Diego, CA] health system has confirmed prior and current cases of COVID-19. An Incident Command Center was established early in the crisis and helped identify electronic health record (EHR) based tools to support clinical care. We outline the design and implementation of EHR based rapid screening processes, laboratory testing, clinical decision support, reporting tools, and patient-facing technology related to COVID-19. The EHR is a useful tool to enable rapid deployment of standardized processes. UC San Diego Health built multiple COVID-19-specific tools to support outbreak management, including scripted triaging, electronic check-in, standard ordering and documentation, secure messaging, real-time data analytics, and telemedicine capabilities. Challenges included the need to frequently adjust build to meet rapidly evolving requirements, communication and adoption, and coordinating the needs of multiple stakeholders while maintaining high-quality, pre-pandemic medical care.
Conclusion: The EHR is an essential tool in supporting the clinical needs of a health system managing the COVID-19 pandemic.
Jahanbin et al. (2020). Using Twitter and web news mining to predict COVID-19 outbreak[iii]
Discusses web news mining of social networks such as Twitter to track and monitor the spread of the disease.
[i] Ting DSW, Carin L, Dzau V, Wong TY. Digital technology and COVID-19. Nat Med. 2020;26(4):459–461. doi:10.1038/s41591-020-0824-5.
[ii] Reeves JJ, Hollandsworth HM, Torriani FJ, et al. Rapid Response to COVID-19: Health Informatics Support for Outbreak Management in an Academic Health System [published online ahead of print, 2020 Mar 24]. J Am Med Inform Assoc. 2020;ocaa037. doi:10.1093/jamia/ocaa037.
[iii] Jahanbin, K. et al (2020). Using Twitter and web news mining to predict COVID-19 outbreak. Asian Pacific Journal of Tropical Medicine. http://www.apjtm.org/preprintarticle.asp?id=279651 [Accessed 06 April 2020]
World Economic Forum (2020). How digital infrastructure can help us through the COVID-19 crisis[i]
Our digital infrastructure needs strengthening to deal with the impact of COVID-19 and future public health crises:
MobiHealthNews (2020) [News Article]. Tech’s role in tracking, testing, treating COVID-19[ii]
With the incidence of new COVID-19 cases growing by the day, healthcare stakeholders are continuing to search for tools and medications to help stem the tide. We have seen the digital health community release new tools aiming to monitor the spread of the disease and facilitate better treatment. And it sounds as if there’s still more to come, as just this morning CNBC reported that tech giants Facebook, Amazon and Google were sitting down with the World Health Organization to talk about their role in combating the spread of disease as well as misinformation.
In terms of COVID-19, we are seeing another rise in digital epidemiology tools, chatbot helpers, EHR guidance tools and rapid-response test kits.
This article lists how health organizations, governments and digital health vendors are using technology to tackle the COVID-19 crisis.
Asia Times (2020) [News Article]. South Korea turns to tech to take on COVID-19[iii]
This article discusses a range of innovative technologies including: diagnostic apps; telecommuting solutions; an interactive Coronoavirus map; CCTV data mining and mobile phone location information; apps for home quarantine, self-diagnosing and contact with monitoring staff; apps for immigrants to communicate their health status on a daily basis. A commercial company Seegene uses an artificial intelligence-powered automated production system to produce tests with a 6-hour turnaround, supplying Italy and Germany. Two other biotech start-ups produce a portable, battery-powered scan device that can detect COVID-19 infection in 30 minutes.
Coronavirus Tech Handbook[iv]
The Coronavirus Tech Handbook is a crowd-sourced library for technologists, civic organizations, private institutions, researchers and specialists working on [technological] responses to the pandemic. It is a rapidly evolving resource with thousands of expert contributors.
[i] World Economic Forum 1 April 2020. How digital infrastructure can help us through the COVID-19 crisis. https://www.weforum.org/agenda/2020/04/digital-infrastructure-public-health-crisis-covid-19/ [Accessed 06 APRIL 2020]
[ii] MobiHealthNews 2 April 2020. Tech’s role in tracking, testing, treating COVID-19. https://www.mobihealthnews.com/news/roundup-techs-role-tracking-testing-treating-covid-19 [Accessed 06 APRIL 2020]
[iii] Asia Times 12 March 2020. South Korea turns to tech to take on COVID-19. https://asiatimes.com/2020/03/south-korea-turns-to-tech-to-take-on-covid-19/ [Accessed 06 APRIL 2020]
[iv] Coronavirus Tech Handbook. https://coronavirustechhandbook.com/home [Accessed 06/04/2020]
World Health Organization Health Emergency Dashboard[i]
The World Health Organization (WHO) Health Emergency Dashboard is a platform which aims to share information about public health events and emergencies. The data on the dashboard is refreshed every 15 minutes and data is accurate as at time of refreshing. The WHO Health Emergency Dashboard is not a comprehensive representation of all the events and emergencies; the events displayed are a subset of those reported through official channels as mandated by the International Health Regulations. The size of the pie charts corresponds to the number of events in a given country or territory; the size does not indicate the severity or risk associated with the events.
Health System Response Monitor (HSRM)[ii]
The Health System Response
Monitor (HSRM) has been designed in response to the COVID-19 outbreak to
collect and organize up-to-date information on how countries in the WHO
European Region are responding to the crisis. It focuses primarily on the
responses of health systems but also captures wider public health initiatives.
This is a joint undertaking of the WHO Regional Office for Europe, the European
Commission and the European Observatory on Health Systems and Policies.
[i] World Health Organization Health Emergency Dashboard. https://extranet.who.int/publicemergency [Accessed 07/04/2020]
[ii] Health System Response Monitor. https://w Coronavirus Tech Handbook ww.covid19healthsystem.org/mainpage.aspx [Accessed 07/04/2020]
Dong et al. (2020). An interactive web-based dashboard to track COVID-19 in real time[i]
In response to this
ongoing public health emergency, we developed an online interactive dashboard,
hosted by the Center for Systems Science and Engineering (CSSE) at Johns
Hopkins University, Baltimore, MD, USA, to visualise and track reported cases
of coronavirus disease 2019 (COVID-19) in real time. The dashboard, first
shared publicly on Jan 22, illustrates the location and number of confirmed
COVID-19 cases, deaths, and recoveries for all affected countries. It was
developed to provide researchers, public health authorities, and the general
public with a user-friendly tool to track the outbreak as it unfolds. All data
collected and displayed are made freely available, initially through Google
Sheets and now through a GitHub repository, along with the feature layers of the
dashboard which are now included in the ESRI Living Atlas.
[i] Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time [published online ahead of print, 2020 Feb 19]. Lancet Infect Dis. 2020;S1473-3099(20)30120-1. doi:10.1016/S1473-3099(20)30120-1
The dashboard reports cases at the province level in China; at the city level in the USA, Australia, and Canada; and at the country level otherwise. During Jan 22–31, all data collection and processing were done manually, and updates were typically done twice a day, morning and night. As the outbreak evolved, the manual reporting process became unsustainable; therefore, on Feb 1, we adopted a semi-automated living data stream strategy. Our primary data source is DXY, an online platform run by members of the Chinese medical community, which aggregates local media and government reports to provide cumulative totals of COVID-19 cases in near real time at the province level in China and at the country level otherwise. Every 15 min, the cumulative case counts are updated from DXY for all provinces in China and for other affected countries and regions. For countries and regions outside mainland China, we found DXY cumulative case counts to frequently lag behind other sources; we therefore manually update these case numbers throughout the day when new cases are identified. To identify new cases, we monitor various Twitter feeds, online news services and direct communication sent through the dashboard. Before manually updating the dashboard, we confirm the case numbers with [national], regional and local health departments. All manual updates for countries and regions outside mainland China are coordinated by a team at Johns Hopkins University.
Cho et al. (2020). Contact tracing mobile apps for COVID-19: Privacy considerations and related trade-offs[i]
Contact tracing is an essential tool for public health officials and
local communities to fight the spread of novel diseases such as the COVID-19
pandemic. The Singaporean government just released a mobile phone app that is
designed to assist health officials in tracking down exposures after an
infected individual is identified. However, there are important privacy
implications of the existence of such tracking apps. This paper analyzes some
of those implications and discuss ways of ameliorating the privacy concerns
without decreasing usefulness to public health.
Yasaka et al. (2020). Peer-to-Peer Contact Tracing: A Privacy-Preserving Smartphone Application[ii]
Contact tracing using smartphone technology is a powerful tool which may be employed to limit disease transmission during an epidemic or pandemic, yet contact tracing applications present with significant privacy concerns regarding the collection of personal data such as location. This study looks at how to provide an effective contact tracing smartphone application that respects user privacy by not collecting location information or other personal data.
Ferretti et al. (2020). Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing[iii]
The newly emergent human virus SARS-CoV-2 is resulting in high fatality rates and incapacitated health systems. Preventing further transmission is a priority. This paper analyses the key parameters of epidemic spread to estimate the contribution of different transmission routes and determine requirements for case isolation and contact-tracing needed to stop the epidemic. It concludes that viral spread is too fast to be contained by manual contact tracing, but could be controlled if this process was faster, more efficient and happened at scale. A contact-tracing app which builds a memory of proximity contacts and immediately notifies contacts of positive cases can achieve epidemic control if used by enough people. By targeting recommendations to only those at risk, epidemics could be contained without need for mass quarantines [‘lock-downs’] that are harmful to society. The ethical requirements for such an intervention are discussed.
Ienca et al. (2020). On the responsible use of digital data to tackle the COVID-19 pandemic[iv]
Large-scale collection of data could help curb the COVID-19 pandemic, but it should not neglect privacy and public trust. Best practices should be identified to maintain responsible data-collection and data-processing standards at a global scale.
Raskar et al. (2020). Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic[v]
key strategy in quickly halting an epidemic, requires rapid identification and
quarantine of the infected individuals, determination of whom they have had
close contact with in the previous days and weeks, and decontamination of
locations the infected individual has visited. Achieving containment demands
accurate and timely collection of the infected individual’s location and
contact history. Traditionally, this process is labour intensive, susceptible
to memory errors, and fraught with privacy concerns. With the availability of
smart phones, many people carry a tool which can be utilized to quickly
identify an infected individual’s contacts during an epidemic, such as the
current 2019 novel Coronavirus crisis. Unfortunately, the very same first-generation
contact tracing tools have been used to expand mass surveillance, limit
individual freedoms and expose the most private details about individuals. This
paper outlines the different technological approaches to mobile-phone based
contact tracing to date and elaborates on the opportunities and the risks that
these technologies pose to individuals and societies. Advanced security
enhancing approaches that can mitigate these risks are described as is
trade-offs that must be made when developing and deploying any mass contact tracing
technology. The aim of this paper is to continue to grow the conversation
regarding contact tracing for epidemic and pandemic containment and discuss
opportunities to advance this.
[i] Cho, H. et al (2020). Contact tracing mobile apps for COVID-19: Privacy considerations and related trade-offs. https://arxiv.org/abs/2003.11511v2 [Accessed 07 APRIL 2020]
[ii] Yasaka TM, Lehrich BM, Sahyouni R. Peer-to-Peer Contact Tracing: Development of a Privacy-Preserving Smartphone App. JMIR Mhealth Uhealth. 2020;8(4):e18936. Published 2020 Apr 7. doi:10.2196/18936.
[iii] Ferretti L, Wymant C, Kendall M, et al. Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing [published online ahead of print, 2020 Mar 31]. Science. 2020;eabb6936. doi:10.1126/science.abb6936.
[iv] Ienca M, Vayena E. On the responsible use of digital data to tackle the COVID-19 pandemic. Nat Med. 2020;26(4):463–464. doi:10.1038/s41591-020-0832-5.
[v] Raskar, R et al (2020). Apps gone rogue: maintaining personal privacy in an epidemic. https://arxiv.org/abs/2003.08567 [Accessed 06 April 2020].
Kamel Boulos et al. (2020). Geographical tracking and mapping of coronavirus disease COVID-19 [and] 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[i]
In December 2019, a new virus emerged in Wuhan, Hubei Province, China, and rapidly spread to other parts of China and other countries around the world. As with the original SARS-CoV epidemic of 2002/2003 and with seasonal influenza, geographic information systems and methods including among other application possibilities online real-time mapping of disease cases and of social media reactions to disease spread, predictive risk mapping using population travel data and tracing and mapping super-spreader trajectories and contacts across space and time are proving indispensable for timely and effective epidemic monitoring and response. This paper describes a range of practical online and mobile GIS and mapping dashboards and applications for tracking the 2019 coronavirus epidemic and associated events as they unfold globally.
Kastner et al. (2020). Viewing the Progression of COVID-19 with NewsStand[ii]
With the continuing spread of COVID-19, it is clearly important to be able to track the progress of the virus over time to be better prepared to anticipate its emergence in new regions. Officially released numbers of cases will likely be the most accurate means by which to track this, but they will not necessarily paint a complete picture. The authors have developed an application that is usable on desktop and mobile devices that allows users to explore geographic spread in discussion about the virus through analysis of keyword prevalence in geo-tagged news articles.
Zhou et al. (2020). COVID-19: Challenges to GIS with big data[iii]
[i] Kamel Boulos MN, Geraghty EM. 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. Int J Health Geogr. 2020;19(1):8. Published 2020 Mar 11. doi:10.1186/s12942-020-00202-8.
[ii] Kastner, J., et al (2020). Viewing the Progression of COVID-19 with NewsStand https://arxiv.org/pdf/2003.00107.pdf [Accessed 06 April 2020]
[iii] Zhou, C. et al (2020). COVID-19: Challenges to GIS with big data. Geography and Sustainability. https://doi.org/10.1016/j.geosus.2020.03.005 [Accessed 06 April 2020]
ESRI [Commercial Company] (2020). Geographic Information Systems for Coronavirus Planning and Response[i]
ESRI is an American company that supplies GIS. This paper gives an overview of how GIS capabilities can be used for a health-oriented response to pandemic influenza.
[i] ESRI (2020). COVID-19: Challenges to GIS with big data. https://www.esri.com/content/dam/esrisites/en-us/media/pdf/geographic-information-systems-for-coronavirus-planning-response-white-paper.pdf [Accessed 06 April 2020]
Udugama et al. (2020). Diagnosing COVID-19: The Disease and Tools for Detection[i]
COVID-19 has spread globally since its discovery in Hubei province, China, in December 2019. A combination of computed tomography imaging, whole genome sequencing and electron microscopy were initially used to screen and identify SARS-CoV-2, the viral etiology of COVID-19. The aim of this review article is to inform the audience of diagnostic and surveillance technologies for SARS-CoV-2 and their performance characteristics. We describe point-of-care diagnostics that are on the horizon and encourage academics to advance their technologies beyond conception. Developing plug-and-play diagnostics to manage the SARS-CoV-2 outbreak would also be useful in preventing future epidemics.
Pan (2020). Application of personal-oriented digital technology in preventing transmission of COVID-19, China[ii]
We reported several personal-oriented
and mobile phone-based information technologies which were recently developed
and widely used during the outbreak of COVID-19 in China. These technologies
help reduce the transmission of COVID-19 and maintain normal social order.
[i] Udugama B, Kadhiresan P, Kozlowski HN, et al. Diagnosing COVID-19: The Disease and Tools for Detection [published online ahead of print, 2020 Apr 9] ACS Nano. 2020;acsnano.0c02624. doi:10.1021/acsnano.0c02624.
[ii] Pan XB. Application of personal-oriented digital technology in preventing transmission of COVID-19, China [published online ahead of print, 2020 Mar 27]. Ir J Med Sci. 2020;1–2. doi:10.1007/s11845-020-02215-5.
Lovell (2020) [News Article]. Ireland’s health service uses patientMpower remote monitoring solution for COVID-19 patients[i]
Dublin-based digital health firm patientMpower has developed a remote monitoring solution for COVID-19 on behalf of the Irish Health Service Executive (HSE). This enables monitoring of otherwise healthy patients with mild to moderate symptoms who are in self-isolation.
Lovet (2020). [News Article]. A-list tech engineers team up with Boston Children’s Hospital on coronavirus tracking tool[ii]
Looking to better track the spread of
the novel coronavirus, a team of engineers from some of Silicon Valley’s most
notable companies has joined forces with Boston Children’s Hospital’s Chief
Innovation Officer John Brownstein on a new tool dubbed covidnearyou.org. The platform aims to
gather data from people at home and report it back to public health
organizations such as the CDC.
[i] Lovell, T (2020) Ireland’s health service uses patientMpower remote monitoring solution for COVID-19 patients Ireland’s health service uses patientMpower remote monitoring solution for COVID-19 patients [Accessed 07 APRIL 2020]
[ii] Lovet, Laura (2020). A-list tech engineers team up with Boston Children’s Hospital on coronavirus tracking tool. https://www.mobihealthnews.com/news/list-tech-engineers-team-boston-childrens-hospital-coronavirus-tracking-tool [Accessed 06 APRIL 2020]
Please note that a separate summary of evidence on telehealth as it relates to the COVID-19 pandemic is also available HERE
Smith et al. (2020). Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19)[i]
The current coronavirus (COVID-19) pandemic is again reminding us of the importance of using telehealth to deliver care, especially as means of reducing the risk of cross-contamination caused by close contact. For telehealth to be effective as part of an emergency response it first needs to become a routinely used part of our health system. Hence, it is time to step back and ask why telehealth is not mainstreamed. In this article, we highlight key requirements for this to occur. Strategies to ensure that telehealth is used regularly in acute, post-acute and emergency situations, alongside conventional service delivery methods, include flexible funding arrangements, training and accrediting our health workforce. Telehealth uptake also requires a significant change in management effort and the redesign of existing models of care. Implementing telehealth proactively rather than reactively is more likely to generate greater benefits in the long-term and help with the everyday and emergency challenges in healthcare.
Greenhalgh et al. (2020). Video consultations for covid-19[ii]
The rapid spread of covid-19 and the fact that healthcare
facilities could be sources of contagion has focused attention on new models of
care that avoid face-to-face contact between clinician and patient. There has
been particular interest in video consultations, which are already being rolled
out in many countries as part of national digital health strategies. How
appropriate are video consultations for dealing with the coronavirus crisis and
what are the challenges of scaling up this model at speed?
[i] Smith AC, Thomas E, Snoswell CL, et al. Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19) [published online ahead of print, 2020 Mar 20]. J Telemed Telecare. 2020;1357633X20916567. doi:10.1177/1357633X20916567
[ii] Greenhalgh T, Wherton J, Shaw S, Morrison C. Video consultations for covid-19. BMJ. 2020;368:m998. Published 2020 Mar 12. doi:10.1136/bmj.m998.
There are many different tools that can be used for virtual collaboration and remote working. With any commercially-available software, it is recommended to research the software, the company and to be aware of their procedures regarding data security, data storage and recoverability.
Among the popular tools in use currently are:
Produced by the members of the National Health Library and Knowledge Service Evidence Team.† Current as at 08 APRL 2020.This evidence summary collates the best available evidence at the time of writing and does not replace clinical judgement or guidance. Emerging literature or subsequent developments in respect of COVID-19 may require amendment to the information or sources listed in the document. Although all reasonable care has been taken in the compilation of content, the National Health Library and Knowledge Service Evidence Team makes no representations or warranties expressed or implied as to the accuracy or suitability of the information or sources listed in the document. This evidence summary is the property of the National Health Library and Knowledge Service and subsequent re-use or distribution in whole or in part should include acknowledgement of the service.
Isabelle Delaunois, Medical Librarian, HSE Mid-West, University of Limerick Hospitals, Limerick [Author]; Julia Reynolds, Librarian, Mayo University Hospital, Castlebar, Mayo [Author]; Shauna Barrett, Hospital Librarian, Cork University Hospital [Author]; Brendan Leen, Regional Librarian, HSE South, St. Luke’s General Hospital, Kilkenny [Editor]