MOOD publications

@article{doi:10.1126/sciadv.abd8750,

title = {Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection},

author = {Jesús A. Moreno López and Beatriz Arregui García and Piotr Bentkowski and Livio Bioglio and Francesco Pinotti and Pierre-Yves Boëlle and Alain Barrat and Vittoria Colizza and Chiara Poletto},

doi = {10.1126/sciadv.abd8750  URL = https://www.science.org/doi/abs/10.1126/sciadv.abd8750},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Science Advances},

volume = {7},

number = {15},

pages = {eabd8750},

abstract = {Digital contact tracing apps could slow down COVID-19 transmission at moderate adoption: A model-based study. The efficacy of digital contact tracing against coronavirus disease 2019 (COVID-19) epidemic is debated: Smartphone penetration is limited in many countries, with low coverage among the elderly, the most vulnerable to COVID-19. We developed an agent-based model to precise the impact of digital contact tracing and household isolation on COVID-19 transmission. The model, calibrated on French population, integrates demographic, contact and epidemiological information to describe exposure and transmission of COVID-19. We explored realistic levels of case detection, app adoption, population immunity, and transmissibility. Assuming a reproductive ratio R = 2.6 and 50% detection of clinical cases, a ~20% app adoption reduces peak incidence by ~35%. With R = 1.7, >30% app adoption lowers the epidemic to manageable levels. Higher coverage among adults, playing a central role in COVID-19 transmission, yields an indirect benefit for the elderly. These results may inform the inclusion of digital contact tracing within a COVID-19 response plan.},

keywords = {Contact tracing, COVID-19, Human health, surveillance},

pubstate = {published},

tppubtype = {article}

}

@article{antibiotics9120918,

title = {Global Trends in Antimicrobial Use in Food Animals from 2017 to 2030},

author = {Katie Tiseo and Laura Huber and Marius Gilbert and Timothy P. Robinson and Thomas P. Van Boeckel},

url = {https://www.mdpi.com/2079-6382/9/12/918},

doi = {10.3390/antibiotics9120918},

issn = {2079-6382},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Antibiotics},

volume = {9},

number = {12},

abstract = {Demand for animal protein is rising globally and has been facilitated by the expansion of intensive farming. However, intensive animal production relies on the regular use of antimicrobials to maintain health and productivity on farms. The routine use of antimicrobials fuels the development of antimicrobial resistance, a growing threat for the health of humans and animals. Monitoring global trends in antimicrobial use is essential to track progress associated with antimicrobial stewardship efforts across regions. We collected antimicrobial sales data for chicken, cattle, and pig systems in 41 countries in 2017 and projected global antimicrobial consumption from 2017 to 2030. We used multivariate regression models and estimated global antimicrobial sales in 2017 at 93,309 tonnes (95% CI: 64,443, 149,886). Globally, sales are expected to rise by 11.5% in 2030 to 104,079 tonnes (95% CI: 69,062, 172,711). All continents are expected to increase their antimicrobial use. Our results show lower global antimicrobial sales in 2030 compared to previous estimates, owing to recent reports of decrease in antimicrobial use, in particular in China, the world's largest consumer. Countries exporting a large proportion of their production are more likely to report their antimicrobial sales data than countries with small export markets.},

keywords = {AMR, Animal disease surveillance, Anitmicrobial Resistance, Human health, Model},

pubstate = {published},

tppubtype = {article}

}