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52. Food & You: A digital cohort on personalized nutrition.

Author

Héritier, Harris, Allémann, Chloé, Balakiriev, Oleksandr, Boulanger, Victor, Carroll, Sean F., Froidevaux, Noé, Hugon, Germain, Jaquet, Yannis, Kebaili, Djilani, Riccardi, Sandra, Rousseau-Leupin, Geneviève, Salathé, Rahel M., Salzmann, Talia, Singh, Rohan, Symul, Laura, Ugurlu-Baud, Elif, de Verteuil, Peter, and Salathé, Marcel

Published
2023
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68. Toward a Common Performance and Effectiveness Terminology for Digital Proximity Tracing Applications

Author

Lueks, Wouter, Benzler, Justus, Bogdanov, Dan, Kirchner, Göran, Lucas, Raquel, Oliveira, Rui, Preneel, Bart, Salathé, Marcel, Troncoso, Carmela, von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797, Lueks, Wouter, Benzler, Justus, Bogdanov, Dan, Kirchner, Göran, Lucas, Raquel, Oliveira, Rui, Preneel, Bart, Salathé, Marcel, Troncoso, Carmela, and von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797

Abstract

Digital proximity tracing (DPT) for Sars-CoV-2 pandemic mitigation is a complex intervention with the primary goal to notify app users about possible risk exposures to infected persons. DPT not only relies on the technical functioning of the proximity tracing application and its backend server, but also on seamless integration of health system processes such as laboratory testing, communication of results (and their validation), generation of notification codes, manual contact tracing, and management of app-notified users. Policymakers and DPT operators need to know whether their system works as expected in terms of speed or yield (performance) and whether DPT is making an effective contribution to pandemic mitigation (also in comparison to and beyond established mitigation measures, particularly manual contact tracing). Thereby, performance and effectiveness are not to be confused. Not only are there conceptual differences but also diverse data requirements. For example, comparative effectiveness measures may require information generated outside the DPT system, e.g., from manual contact tracing. This article describes differences between performance and effectiveness measures and attempts to develop a terminology and classification system for DPT evaluation. We discuss key aspects for critical assessments of whether the integration of additional data measurements into DPT apps may facilitate understanding of performance and effectiveness of planned and deployed DPT apps. Therefore, the terminology and a classification system may offer some guidance to DPT system operators regarding which measurements to prioritize. DPT developers and operators may also make conscious decisions to integrate measures for epidemic monitoring but should be aware that this introduces a secondary purpose to DPT. Ultimately, the integration of further information (e.g., regarding exact exposure time) into DPT involves a trade-off between data granularity and linkage on the one hand, and

Published
2021

71. Precision global health: a roadmap for augmented action

Author

Sheath, Danny, Ruiz De Castaneda, Rafael Luis, Bempong, Nefti-Eboni, Raviglione, Mario, Machalaba, Catherine, Pepper, Michael S., Vayena, Effy, Ray, Nicolas, Wernli, Didier, Escher, Gérard, Grey, François, Elger, Bernice Simone, Helbing, Dirk, Kleineberg, Kaj-Kolja, Beran, David Henri, Miranda, J. Jaime, Huffman, Mark D., Hersch, Fred, Andayi, Fred, Thumbi, Samuel M., D'Acremont, Valérie, Hartley, Mary-Anne, Zinsstag, Jakob, Larus, James, Rodríguez Martínez, María, Guerin, Philippe J., Merson, Laura, Ngyuen, Vinh-Kim, Rühli, Frank, Geissbuhler, Antoine, Salathé, Marcel, Bolon, Isabelle, Boehme, Catharina, Berkley, Seth Franklin, Valleron, Alain-Jacques, Keiser, Olivia, Kaiser, Laurent, Eckerle, Isabella Anne, Utzinger, Jürg, and Flahault, Antoine

Subjects
ddc:333.7-333.9, ddc:616, Big data, Public health, ddc:320, ddc:614.1, Machine learning, ddc:616.0757, Digital health, Artificial intelligence (AI), ddc:613, One health
Abstract

With increased complexity in various global health challenges comes a need for increased precision and the adoption of more tailored health interventions. Building on precision public health, we propose precision global health (PGH), an approach that leverages life sciences, social sciences, and data sciences, augmented with artificial intelligence (AI), in order to identify transnational problems and deliver targeted and impactful interventions through integrated and participatory approaches. With more than four billion Internet users across the globe and the accelerating power of AI, PGH taps on our current augmented capacity to collect, integrate, analyse and visualise large volumes of data, both non-specific and specific to health. With the support of governments and donors, and together with international and non-governmental organisations, universities and research institutions can generate innovative solutions to improve health and wellbeing of the most vulnerable populations around the world. In line with the Sustainable Development Goals, we propose here a road map for the development and implementation of PGH.

Published
2020

72. Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland

Author

Salathé, Marcel, Althaus, Christian, Anderegg, Nanina, Antonioli, Daniele, Ballouz, Tala; https://orcid.org/0000-0003-2334-8600, Bugnon, Edouard, Čapkun, Srdjan, Jackson, Dennis, Kim, Sang-Il, Larus, Jim, Low, Nicola, Lueks, Wouter, Menges, Dominik, Moullet, Cédric, Payer, Mathias, Riou, Julien, Stadler, Theresa, Troncoso, Carmela, Vayena, Effy, von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797, Salathé, Marcel, Althaus, Christian, Anderegg, Nanina, Antonioli, Daniele, Ballouz, Tala; https://orcid.org/0000-0003-2334-8600, Bugnon, Edouard, Čapkun, Srdjan, Jackson, Dennis, Kim, Sang-Il, Larus, Jim, Low, Nicola, Lueks, Wouter, Menges, Dominik, Moullet, Cédric, Payer, Mathias, Riou, Julien, Stadler, Theresa, Troncoso, Carmela, Vayena, Effy, and von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797

Abstract

In the wake of the pandemic of coronavirus disease 2019 (COVID-19), contact tracing has become a key element of strategies to control the spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Given the rapid and intense spread of SARS-CoV-2, digital contact tracing has emerged as a potential complementary tool to support containment and mitigation efforts. Early modelling studies highlighted the potential of digital contact tracing to break transmission chains, and Google and Apple subsequently developed the Exposure Notification (EN) framework, making it available to the vast majority of smartphones. A growing number of governments have launched or announced EN-based contact tracing apps, but their effectiveness remains unknown. Here, we report early findings of the digital contact tracing app deployment in Switzerland. We demonstrate proof-of-principle that digital contact tracing reaches exposed contacts, who then test positive for SARS-CoV-2. This indicates that digital contact tracing is an effective complementary tool for controlling the spread of SARS-CoV-2. Continued technical improvement and international compatibility can further increase the efficacy, particularly also across country borders.

Published
2020

73. A research agenda for digital proximity tracing apps

Author

von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797, Bonhoeffer, Sebastian, Bugnion, Edouard, Puhan, Milo A; https://orcid.org/0000-0001-7284-1317, Salathé, Marcel, Stadler, Theresa, Troncoso, Carmela, Vayena, Effy, Low, Nicola, von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797, Bonhoeffer, Sebastian, Bugnion, Edouard, Puhan, Milo A; https://orcid.org/0000-0001-7284-1317, Salathé, Marcel, Stadler, Theresa, Troncoso, Carmela, Vayena, Effy, and Low, Nicola

Published
2020

75. Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland

Author

Salathé, Marcel, primary, Althaus, Christian L., additional, Anderegg, Nanina, additional, Antonioli, Daniele, additional, Ballouz, Tala, additional, Bugnion, Edouard, additional, Čapkun, Srdjan, additional, Jackson, Dennis, additional, Kim, Sang-Il, additional, Larus, James R., additional, Low, Nicola, additional, Lueks, Wouter, additional, Menges, Dominik, additional, Moullet, Cédric, additional, Payer, Mathias, additional, Riou, Julien, additional, Stadler, Theresa, additional, Troncoso, Carmela, additional, Vayena, Effy, additional, and Von Wyl, Viktor, additional

Published
2020
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76. Fighting a Pandemic

Author

Eliassi-Rad, Tina, primary, Chawla, Nitesh, additional, Colizza, Vittoria, additional, Gardner, Lauren, additional, Salathé, Marcel, additional, Scarpino, Samuel, additional, and Wu, Joseph T., additional

Published
2020
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78. A research agenda for digital proximity tracing apps

Author

Von Wyl, Viktor, primary, Bonhoeffer, Sebastian, additional, Bugnion, Edouard, additional, Puhan, Milo Alan, additional, Salathé, Marcel, additional, Stadler, Theresa, additional, Troncoso, Carmela, additional, Vayena, Effy, additional, and Low, Nicola, additional

Published
2020
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94. An ecological and digital epidemiology analysis on the role of human behavior on the 2014 Chikungunya outbreak in Martinique

Author

Roche, Benjamin, primary, Gaillard, Béatrice, additional, Léger, Lucas, additional, Pélagie-Moutenda, Renélise, additional, Sochacki, Thomas, additional, Cazelles, Bernard, additional, Ledrans, Martine, additional, Blateau, Alain, additional, Fontenille, Didier, additional, Etienne, Manuel, additional, Simard, Frédéric, additional, Salathé, Marcel, additional, and Yébakima, André, additional

Published
2017
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96. Statistical physics of vaccination

Author

Wang, Zhen, primary, Bauch, Chris T., additional, Bhattacharyya, Samit, additional, d'Onofrio, Alberto, additional, Manfredi, Piero, additional, Perc, Matjaž, additional, Perra, Nicola, additional, Salathé, Marcel, additional, and Zhao, Dawei, additional

Published
2016
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98. How human behavior drives the propagation of an emerging infection: the case of the 2014 Chikungunya outbreak in Martinique

Author

Roche, Benjamin, primary, Gaillard, Béatrice, additional, Léger, Lucas, additional, Moutenda, Renélise, additional, Sochacki, Thomas, additional, Cazelles, Bernard, additional, Ledrans, Martine, additional, Blateau, Alain, additional, Fontenille, Didier, additional, Etienne, Manuel, additional, Simard, Frédéric, additional, Salathé, Marcel, additional, and Yébakima, André, additional

Published
2016
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99. Why publish single observations? Because Science Matters.

Author

Gould, Stephen, additional, Curry, Stephen, additional, Ioannidis, John, additional, Haucke, Volker, additional, van der Goot, Gisou, additional, A. Hyman, Anthony, additional, Lake, George, additional, Warren, Graham, additional, Simons, Kai, additional, E. Tanzi, Rudolph, additional, Mayor, Satyajit, additional, Tolic, Iva, additional, Vadodaria, Krishna, additional, Goedert, Michel, additional, Hahnloser, Richard, additional, Strzelecka, Magdalena, additional, Bischofberger, Mirko, additional, Cooper, Oliver, additional, Hengartner, Michael, additional, Nosek, Brian, additional, Ayris, Paul, additional, Wyler, Daniel, additional, Salathé, Marcel, additional, and Südhof, Tom, additional

Published
2016
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100. The state of affairs in the kingdom of the Red Queen

Author

Salathé, Marcel, Kouyos, Roger D, Bonhoeffer, Sebastian, Salathé, Marcel, Kouyos, Roger D, and Bonhoeffer, Sebastian

Abstract

One of the most prominent hypotheses to explain the ubiquity of sex and recombination is based on host-parasite interactions. Under the name of the Red Queen hypothesis (RQH), it has had theoretical and empirical support since its conception, but recent theoretical work has shown that the circumstances under which the RQH works remain unclear. Here we review the current status of the theory of the RQH. We argue that recent theoretical work calls for new experimental data and an increased theoretical effort to reveal the driving force of the RQH.

Published
2015
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