Infectious Diseases
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Infectious Diseases
A curation of the best Articles and Research on Infectious Diseases. (Not a news site, focus on ideas, research, solutions, protocols and discussions related infectious/communicable/tropical diseases.
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Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications

Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications | Infectious Diseases | Scoop.it

We discuss the concept of a participatory digital contact notification approach to assist tracing of contacts who are exposed to confirmed cases of coronavirus disease (COVID-19);

 

The core functionality of our concept is to provide a usable, labor-saving tool for contact tracing by confirmed cases themselves

 

the approach is simple and affordable for countries with limited access to health care resources and advanced technology.

 

The proposed tool serves as a supplemental contract tracing approach to counteract the shortage of health care staff while providing privacy protection for both cases and contacts.

  • This tool can be deployed on the internet or as a plugin for a smartphone app.
  • Confirmed cases with COVID-19 can use this tool to provide contact information (either email addresses or mobile phone numbers) of close contacts.
  • The system will then automatically send a message to the contacts informing them of their contact status, what this status means, the actions that should follow (eg, self-quarantine, respiratory hygiene/cough etiquette), and advice for receiving early care if they develop symptoms.
  • The name of the sender of the notification message by email or mobile phone can be anonymous or not.
  • The message received by the contact contains no disease information but contains a security code for the contact to log on the platform to retrieve the information.

 

Conclusion

The successful application of this tool relies heavily on public social responsibility and credibility, and it remains to be seen if the public would adopt such a tool and what mechanisms are required to prevent misuse.

 

This is a simple tool that does not require complicated computer techniques despite strict user privacy protection design with respect to countries and regions. Additionally, this tool can help avoid coercive surveillance, facilitate the allocation of health resources, and prioritize clinical service for patients with COVID-19. Information obtained from the platform can also increase our understanding of the epidemiology of COVID-19.

 

read this concept paper at https://mhealth.jmir.org/2020/6/e20369

 

 

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An Agent-Based Model of the Local Spread of SARS-CoV-2: Modeling Study

An Agent-Based Model of the Local Spread of SARS-CoV-2: Modeling Study | Infectious Diseases | Scoop.it

The spread of SARS-CoV-2, originating in Wuhan, China, was classified as a pandemic by the World Health Organization on March 11, 2020.

 

The governments of affected countries have implemented various measures to limit the spread of the virus. The starting point of this paper is the different government approaches, in terms of promulgating new legislative regulations to limit the virus diffusion and to contain negative effects on the populations.

 

Objective: This paper aims to study how the spread of SARS-CoV-2 is linked to government policies and to analyze how different policies have produced different results on public health.


Methods: Considering the official data provided by 4 countries (Italy, Germany, Sweden, and Brazil) and from the measures implemented by each government, we built an agent-based model to study the effects that these measures will have over time on different variables such as the total number of COVID-19 cases, intensive care unit (ICU) bed occupancy rates, and recovery and case-fatality rates. The model we implemented provides the possibility of modifying some starting variables, and it was thus possible to study the effects that some policies (eg, keeping the national borders closed or increasing the ICU beds) would have had on the spread of the infection.


Conclusions: In line with what we expected, the obtained results showed that the countries that have taken restrictive measures in terms of limiting the population mobility have managed more successfully than others to contain the spread of COVID-19. Moreover, the model demonstrated that herd immunity cannot be reached even in countries that have relied on a strategy without strict containment measures.

 

read the study at https://medinform.jmir.org/2021/4/e24192

 

nrip's insight:

Yes, in line with what we expected. Govt's across the world need to capacity build to be ready for a possible future wave. Further, they should be proactive to predict one and act fast when it starts to come in. They come slow and then are everywhere all of a sudden.

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Acceptability of App-Based Contact Tracing for COVID-19

Acceptability of App-Based Contact Tracing for COVID-19 | Infectious Diseases | Scoop.it

The COVID-19 pandemic is the greatest public health crisis of the last 100 years. Countries have responded with various levels of lockdown to save lives and stop health systems from being overwhelmed. At the same time, lockdowns entail large socioeconomic costs.

 

One exit strategy under consideration is a mobile phone app that traces the close contacts of those infected with COVID-19.

 

Recent research has demonstrated the theoretical effectiveness of this solution in different disease settings. However, concerns have been raised about such apps because of the potential privacy implications. This could limit the acceptability of app-based contact tracing in the general population. As the effectiveness of this approach increases strongly with app uptake, it is crucial to understand public support for this intervention.

 

Objective: The objective of this study is to investigate the user

acceptability of a contact-tracing app in five countries hit by the pandemic.


Methods: We conducted a largescale, multicountry study (N=5995) to measure public support for the digital contact tracing of COVID-19 infections.

 

We ran anonymous online surveys in France, Germany, Italy, the United Kingdom, and the United States and measured intentions to use a contact-tracing app across different installation regimes (voluntary installation vs automatic installation by mobile phone providers) and studied how these intentions vary across individuals and countries.


Results: We found strong support for the app under both regimes, in all countries, across all subgroups of the population, and irrespective of regional-level COVID-19 mortality rates.

We investigated the main factors that may hinder or facilitate uptake and found that concerns about cybersecurity and privacy, together with a lack of trust in the government, are the main barriers to adoption.


Conclusions:

 

Epidemiological evidence shows that app-based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app and that it can still reduce the number of infections if uptake is moderate. Our findings show that the willingness to install the app is very high. The available evidence suggests that app-based contact tracing may be a viable approach to control the diffusion of COVID-19.

 

read the study at https://mhealth.jmir.org/2020/8/e19857

 

nrip's curator insight, June 12, 2021 5:34 AM

A lot of research and anecdotal evidence shows that mHealth/Mobile App based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app. 

that it can still reduce the number of infections if uptake is moderate is interesting to note.