M. Salathé

Publications109
h-index39
Citations9,127
Highly Influential Citations452
Claim Author Page
Author pages are created from data sourced from our academic publisher partnerships and public sources.

Recommended Authors

  • J. Brownstein
  • 452 Publications • 33,546 Citations
  • A. Barrat
  • 292 Publications • 22,754 Citations
  • C. Bauch
  • 250 Publications • 7,831 Citations
  • Alessandro Vespignani
  • 369 Publications • 46,158 Citations
  • Publications
  • Influence
Using Deep Learning for Image-Based Plant Disease Detection
TLDR
Using a public dataset of 54,306 images of diseased and healthy plant leaves collected under controlled conditions, a deep convolutional neural network is trained to identify 14 crop species and 26 diseases (or absence thereof).
View on PubMed
An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing
TLDR
These data are the beginning of an on-going, crowdsourcing effort to enable computer vision approaches to help solve the problem of yield losses in crop plants due to infectious diseases.
View PDF on arXiv
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
TLDR
COVID-Twitter-BerT (CT-BERT), a transformer-based model, pretrained on a large corpus of Twitter messages on the topic of COVID-19, shows a 10-30% marginal improvement compared to its base model, BERT-Large, on five different classification datasets.
View PDF on arXiv
Dynamics and Control of Diseases in Networks with Community Structure
TLDR
It is found that community structure has a major impact on disease dynamics, and it is shown that in networks with strong community structure, immunization interventions targeted at individuals bridging communities are more effective than those simply targeting highly connected individuals.
View PDF
A high-resolution human contact network for infectious disease transmission
TLDR
High-resolution data of CPIs during a typical day at an American high school is obtained, permitting the reconstruction of the social network relevant for infectious disease transmission and suggested that contact network data are required to design strategies that are significantly more effective than random immunization.
View on Publisher
Modelling the influence of human behaviour on the spread of infectious diseases: a review
TLDR
Recent efforts to incorporate human behaviour into disease models are reviewed, and it is proposed that such models can be broadly classified according to the type and source of information which individuals are assumed to base their behaviour on, andAccording to the assumed effects of such behaviour.
View on Royal Society
Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control
TLDR
This work uses publicly available data from 101,853 users of online social media collected over a time period of almost six months to measure the spatio-temporal sentiment towards a new vaccine and finds that most communities are dominated by either positive or negative sentiments towards the novel vaccine.
View on PubMed
Early Assessment of Anxiety and Behavioral Response to Novel Swine-Origin Influenza A(H1N1)
TLDR
The results from an online survey about risk perception of the Influenza A(H1N1) outbreak during the first few days of widespread media coverage find that after an initially high level of concern, levels of anxiety waned along with the Perception of the virus as an immediate threat.
View PDF
The state of affairs in the kingdom of the Red Queen.
View on PubMed
COVID-19 epidemic in Switzerland: on the importance of testing, contact tracing and isolation.
TLDR
Why the testing strategy in Switzerland should be strengthened urgently, as a core component of a combination approach to control COVID-19 is explained.
View PDF
...
...