Andrea Parisi
Australian National University
12 Papers
2 Citations
Andrea Parisi is an academic researcher from Australian National University. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 6, co-authored 10 publications.
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Papers
Differential antimicrobial susceptibility profiles between symptomatic and asymptomatic non-typhoidal Salmonella infections in Vietnamese children.
Andrea Parisi,Tu Le Thi Phuong,Alison E. Mather,Thibaut Jombart,Ha Thanh Tuyen,Nguyen Phu Huong Lan,Nguyen Hoang Thu Trang,Juan Carrique-Mas,James Campbell,Kathryn Glass,Martyn D. Kirk,Stephen Baker +11 more
TL;DR: Antimicrobial resistance may have an effect on the manifestation of human NTS infections, with isolates from asymptomatic individuals being more susceptible to antimicrobials than those associated with animals and human diarrhoea.
Health Outcomes from Multi-Drug Resistant Salmonella Infections in High-Income Countries: A Systematic Review and Meta-Analysis
Andrea Parisi,John A. Crump,Martyn D. Kirk,Kathryn Glass,Benjamin P Howden,Darren J. Gray,Luis Furuya-Kanamori,Luis Furuya-Kanamori,Samantha Vilkins +8 more
TL;DR: It is suggested that MDR NTS infections have more serious health outcomes compared with susceptible isolates, and it is crucial to restrict the use of antimicrobials in animals and humans, and intervene to prevent foodborne infections.
Increasing incidence of invasive nontyphoidal Salmonella infections in Queensland, Australia, 2007-2016
TL;DR: High iNTS rates among males, infants, and the elderly require investigation of household level risk factors for NTS infection, and controlling Salmonella Virchow infections is a public health priority.
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Evaluation of the GPM IMERG half-hourly final precipitation product in the quantification of rainfall erosivity in central Italy
Lorenzo Vergni,Andrea Parisi,Francesca Todisco +2 more
- 03 Nov 2022
TL;DR: In this paper , the limits and potential of the GPM-IMERG product on O.t-degree resolution in providing estimates of the R-factor are highlighted, through a comparison with data measured at two rain gauges in central Italy.
A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic
Joe Hilton,Heather Riley,Lorenzo Pellis,Rabia Aziza,Samuel Brand,Ivy K. Kombe,John Ojal,Andrea Parisi,Matthew James Keeling,D. James Nokes,R. Manson-Sawko,Thomas House +11 more
TL;DR: This model is formulated in terms of tractable systems of ordinary differential equations for which it provides an open-source Python implementation and demonstrates that multiple dimensions of risk stratification and social structure can be incorporated into infectious disease models without sacrificing mathematical tractability.