A bacteriophage recovery methodology for indoor airborne viral infection risk assessment

2009 ◽  
Author(s):  
Fang Wei
2020 ◽  
Vol 114 (2) ◽  
pp. 223-232 ◽  
Author(s):  
Ismael Henarejos-Castillo ◽  
Patricia Sebastian-Leon ◽  
Almudena Devesa-Peiro ◽  
Antonio Pellicer ◽  
Patricia Diaz-Gimeno

2015 ◽  
Vol 6 (1) ◽  
pp. 13-17
Author(s):  
Katarzyna Skibińska

2015 ◽  
Vol 44 (5) ◽  
pp. 1491-1502 ◽  
Author(s):  
Jack Schijven ◽  
Julia Derx ◽  
Ana Maria de Roda Husman ◽  
Alfred Paul Blaschke ◽  
Andreas H. Farnleitner

2020 ◽  
Author(s):  
Suzanne M Simkovich ◽  
Lisa M. Thompson ◽  
Maggie Clark ◽  
Kalpana Balakrishnan ◽  
Alejandra Bussalleu ◽  
...  

Abstract Rationale: The spread of severe acute respiratory syndrome coronavirus-2 has suspended many non-COVID-19 related research activities. Where restarting research activities is permitted, investigators need to evaluate the risks and benefits of resuming data collection and adapt procedures to minimize risk. Objectives: In the context of the multicountry Household Air Pollution Intervention (HAPIN) trial, we developed a framework to assess the risk of each trial activity and to guide protective measures. Our goal is to maximize integrity of reseach aims while minimizing infection risk based on the latest understanding of the virus. Methods: We drew on a combination of expert consultations, risk assessment frameworks, institutional guidance and literature to develop our framework. We then systematically graded clinical, behavioral, laboratory and field environmental health research activities in four countries for both adult and child subjects using this framework. Results: Our framework assesses risk based on staff proximity to the participant, exposure time between staff and participants, and potential aerosolization while performing the activity. One of of four risk levels, from minimal to unacceptable, is assigned and guidance on protective measures is provided. Those activities which can potentially aerosolize the virus are deemed the highest risk. Conclusions: By applying a systematic, procedure-specific approach to risk assessment for each trial activity, we can compare trial activities using the same criteria. This approach allows us to protect our participants and research team and to uphold our ability to deliver on the research commitments we have made to our participants, local communities, and funders. The trial is registered with clinicaltrials.gov (NCT02944682).


Author(s):  
Mahdi Rezaei ◽  
Mohsen Azarmi

Social distancing is a recommended solution by the World Health Organisation (WHO) to minimise the spread of COVID-19 in public places. The majority of governments and national health authorities have set the 2-meter physical distancing as a mandatory safety measure in shopping centres, schools and other covered areas. In this research, we develop a Deep Neural Network-based Model for automated people detection, tracking, and inter-people distances estimation in the crowd, using common CCTV security cameras. The proposed DNN model along with an inverse perspective mapping technique leads to a very accurate people detection and social distancing monitoring in challenging conditions, including people occlusion, partial visibility, and lighting variations. We also provide an online infection risk assessment scheme by statistical analysis of the Spatio-temporal data from the moving trajectories and the rate of social distancing violations. We identify high-risk zones with the highest possibility of virus spread and infection. This may help authorities to redesign the layout of a public place or to take precaution actions to mitigate high-risk zones. The efficiency of the proposed methodology is evaluated on the Oxford Town Centre dataset, with superior performance in terms of accuracy and speed compared to three state-of-the-art methods.


2019 ◽  
Vol 155 (4) ◽  
pp. 1145-1154 ◽  
Author(s):  
E. Lázaro ◽  
C. Armero ◽  
J. Roselló ◽  
J. Serra ◽  
M. J. Muñoz ◽  
...  

Author(s):  
John W. Wilson ◽  
Lynn L. Estes

Numerous species of ticks have been associated with transmission of infectious diseases to humans. Recognizing the type of tick and its geographic distribution can aid identification of select bacterial, viral, and protozoan infection risk assessment.• Consists of the hard ticks that transmit nearly all tick-borne human diseases; 2–30 mm...


2020 ◽  
Vol 52 (8) ◽  
pp. 816-818
Author(s):  
Roberto Grassia ◽  
Sophie Testa ◽  
Annalisa De Silvestri ◽  
Andrea Drago ◽  
Fabrizio Cereatti ◽  
...  

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