Stochastic sampling effects favor manual over digital contact tracing

  title={Stochastic sampling effects favor manual over digital contact tracing},
  author={Marco Mancastroppa and Claudio Castellano and Alessandro Vezzani and Raffaella Burioni},
  journal={Nature Communications},
Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual reconstruction of contacts based on interviews and a digital (app-based) privacy-preserving contact tracing. We compare their effectiveness using model parameters tailored to describe SARS-CoV-2 diffusion within the activity-driven model, a general… 

A Survey on MCT vs. DCT: Who is the Winner in COVID-19

  • Omar Khattab
  • Business
    International Journal of Advanced Computer Science and Applications
  • 2022
The findings in the survey will be beneficial to understand the effectiveness of CTMs and current proposed solutions, in order to develop a comprehensive smart tracking system able to cooperatively contribute with both of MCT and DCT in extremely detecting, preventing, and slowing down the spread of COVID-19 or even any other similar pandemics in the future.

Pair approximation for the q-voter models with quenched disorder on networks.

Using two models of opinion dynamics, the q-voter model with independence and the q-voter model with anticonformity, we discuss how the change of disorder from annealed to quenched affects phase

Sideward contact tracing and the control of epidemics in large gatherings

The contribution of the three tracing mechanisms to the suppression of epidemic spreading is determined, unveiling the importance of sideward tracing and suggesting optimal strategies.

Revisiting the estimation of Covid-19 prevalence: Implications for rapid testing

This work presents an easily understandable four-step algorithm that produces much more reliable prevalence estimates as demonstrated on data from the Israeli Ministry of Health and may re-open the debate about whether the authors are under-valuing rapid testing as a surveillance tool.

Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection

An agent-based model to precise the impact of digital contact tracing and household isolation on COVID-19 transmission and yields an indirect benefit for the elderly, which may inform the inclusion ofdigital contact tracing within a CO VID-19 response plan.



The effectiveness of contact tracing in heterogeneous networks

This work shows that contact tracing can be even more effective than acquaintance sampling at locating hubs, and calls for the need for contact tracing to go both backward and forward, in multiple steps, to leverage all forms of positive biases.

Effect of manual and digital contact tracing on COVID-19 outbreaks: a study on empirical contact data

Benefits are higher and the cost lower if the epidemic reproductive number is lower, showing the importance of combining tracing with additional mitigation measures, and the observed phenomenology is qualitatively robust across datasets and parameters.

Digital Proximity Tracing in the COVID-19 Pandemic on Empirical Contact Networks

This work investigates how well contact tracing apps, coupled with the quarantine of identified contacts, can mitigate the spread of COVID-19 in realistic scenarios such as a university campus, a workplace, or a high school and confirms that a high level of app adoption is crucial to make digital contact tracing an effective measure.

Heterogeneity is essential for contact tracing

The findings show that heterogeneity is essential for CT, and that CT is effective even if only the most frequent contacts can be tracked down, while finding that contact heterogeneity impedes the spread of COVID-19 in comparison with well-mixed networks.

Can the app contain the spread? An agent-based model of COVID-19 and the effectiveness of smartphone-based contact tracing

An agent-based model simulates the spread of COVID-19 in a population of agents on an urban scale and suggests that the app can contribute substantially to the reduction of infections in the population, although complete suppression of the virus is unlikely to be achieved.

The Fallibility of Contact-Tracing Apps

It is shown that there are not enough smartphones worldwide to reach required adoption thresholds but also highlighted a broad lack of internet access, which affects certain groups more: the elderly, those with lower incomes, and those with limited ability to socially distance.

Decentralized Privacy-Preserving Proximity Tracing

This system, referred to as DP3T, provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerating the process of notifying people who might have been exposed to the virus so that they can take appropriate measures to break its transmission chain.

Morbidity and mortality.

  • P. Udani
  • Medicine
    The Indian journal of child health
  • 1962
Strengthening translation of recommendations into action, whether through a more active link with implementation processes or further development of dissemination strategies grounded in implementation science, is an important continuing focus.

Epidemiology of Infection

This chapter provides the reader with the most recent data in regard to the epidemiology of Helicobacter pylori and reviews current areas of controversy and indicates an urgent need for the development of intervention strategies to prevent the spread of the bacterium.


Access to CKD education needs to be tailored to the health literacy status of each patient, and younger age and presence of a college degree were the only independent predictors of knowledge of CKD risk factors.