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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology
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Web-Based Apps for Responding to Acute Infectious Disease Outbreaks in the Community: Systematic Review

Web-Based Apps for Responding to Acute Infectious Disease Outbreaks in the Community: Systematic Review | Public Health - Santé Publique | Scoop.it
From publichealth.jmir.org - May 4, 2021 4:06 AM

Web-based technology has dramatically improved our ability to detect communicable disease outbreaks, with the potential to reduce morbidity and mortality because of swift public health action.

 

Apps accessible through the internet and on mobile devices create an opportunity to enhance our traditional indicator-based surveillance systems, which have high specificity but issues with timeliness.


Objective: The aim of this study is to describe the literature on web-based apps for indicator-based surveillance and response to acute communicable disease outbreaks in the community with regard to their design, implementation, and evaluation.

Results: Apps were primarily designed to improve the early detection of disease outbreaks, targeted government settings, and comprised either complex algorithmic or statistical outbreak detection mechanisms or both.

 

We identified a need for these apps to have more features to support secure information exchange and outbreak response actions, with a focus on outbreak verification processes and staff and resources to support app operations.

 

Conclusions: Public health officials designing new or improving existing disease outbreak web-based apps should ensure that outbreak detection is automatic and signals are verified by users, the app is easy to use, and staff and resources are available to support the operations of the app and conduct rigorous and holistic evaluations.

 

read the study at https://publichealth.jmir.org/2021/4/e24330

 

Lire l'article complet sur : publichealth.jmir.org


Via nrip
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nrip's curator insight, May 3, 2021 5:38 PM

The large scale adoption and constant improvement of these kind of tools - i.e. Tools for Identifying, managing and responding to Infectious Disease Outbreaks in Communities should have started 10 years ago. This is one of my favorite areas of #DigitalHealth. Having been the architect of a number of successful Epidemic Detection and Prediction systems, I feel in this area of Digital Health we still have a long way to go till we reach level where Epidemic Management Teams trust the systems more than their Ears on the ground.

 

But I know that with constant effort, regular additions of modern data paradigms , regular effort and improvement and interdisciplinary cooperation, a point in time where outbreaks can be contained before they occur will come by. Thought that day  is out there in the future ,that  its possibility  alone should drive us forward.

 

To learn about or have a demo of Plus91's Early Warning and Outbreak Detection System which is based on the principles of Syndromic Surveillance and Machine Learning, please contact me via the form with the words "Surveillance Demo" in the message. I promise you it is unlike what you would have seen elsewhere.

 
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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology
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Tracing the Origin of the Covid Virus

Tracing the Origin of the Covid Virus | Public Health - Santé Publique | Scoop.it
From www.wired.com - December 8, 2020 1:27 AM

With cases soaring across the globe, the Covid-19 pandemic is nowhere near its end, but with three vaccines reporting trial data and two apparently nearing approval by the US FDA, it may be reaching a pivot point.


 


In what feels like a moment of drawing breath and taking stock, international researchers are turning their attention from the present back to the start of the pandemic, aiming to untangle its origin and asking what lessons can be learned to keep this from happening again.


 


Two efforts are happening in parallel. On November 5, the World Health Organization quietly published the rules of engagement for a long-planned and months-delayed mission that creates a multinational team of researchers who will pursue how the virus leaped species. Meanwhile, last week, a commission created by The Lancet and headed by the economist and policy expert Jeffrey Sachs announced the formation of its own international effort, a task force of 12 experts from nine countries who will undertake similar tasks.


 


Both groups will face the same complex problems. It has been approximately a year since the first cases of a pneumonia of unknown origin appeared in Wuhan, China, and about 11 months since the pneumonia’s cause was identified as a novel coronavirus, probably originating in bats.


 


The experts will have to retrace a chain of transmission—one or multiple leaps of the virus from the animal world into humans—using interviews, stored biological samples, lab assays, environmental surveys, genomic data, and the thousands of papers published since the pandemic began, all while following a trail that may have gone cold.

 

The point is not to look for patient zero, the first person infected—or even a hypothetical bat zero, the single animal from which the novel virus jumped.


 


It’s likely neither of those will ever be found. The goal instead is to elucidate the ecosystem—physical, but also viral—in which the spillover happened and ask what could make it likely to happen again.


 


more at WIRED : https://www.wired.com/story/two-global-efforts-try-to-trace-the-origin-of-the-covid-virus/?utm_source=pocket-newtab-intl-en

Lire l'article complet sur : www.wired.com


Via nrip
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nrip's curator insight, December 7, 2020 1:57 PM

Back tracing the origins of an outbreak or an epidemic is way tougher than people expect it to be. So much changes during the period the epidemic ravages on, including the data from the time at which it was breaking out. Its high time, the world and health experts learn that the best way to manage and trace the roots of an outbreak is to prevent it, and if a break out happens, act fast towards containing its spread and studying it in parallel.
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