June 1st 2017, 11 AM Pacific / 2 PM Eastern Who to vaccinate when flu season strikes
New study provides guidelines on how to prioritise vaccination Immunizing children and the elderly after the high risk individuals will have the greatest overall benefit when there are limited vaccine resources, saving both lives and money, according to a study published in PLOS Computational Biology by Nargesalsadat Dorratoltaj of the Department of Population Health Sciences, Virginia Tech, and colleagues. When vaccine supplies are limited, public health officials are often required to prioritize which populations have the greatest need for immediate immunization. Guidance on priorities based on different outcome criteria is either lacking or confusing. To get a more realistic measure of how targeted vaccination efforts benefit society at large, the Virginia Tech research team developed a “synthetic population” that works, moves, and mixes with others much like a real community. The extra level of detail in this simulation allowed researchers to capture an epidemic’s indirect or social effects, such as how one person’s vaccination may lower their family and co-workers’ risk of infection. Previous studies have either focused on only homogeneous populations or private benefits of vaccination or a single metric for measuring the financial and medical effectiveness of vaccine priorities. The new model revealed that the overall financial impact of vaccination is much greater than scientists had previously assumed.
“Depending upon the severity of influenza, the “return on investment” can increase from 3 to 7 times if we factor in how the immunity of vaccinated individuals indirectly benefits their contacts in the community by blocking the chain of transmission,” said study co-author Achla Marathe. The researchers provide a framework that can be used to study different vaccine priority orders and different outcome metrics such as the total number of infections, total dollars gained, risk of death, total deaths, risk of death among children or adults, etc. “Attack rates among the children are higher than among the adults and seniors during influenza outbreaks, due to their larger social contact network and homophilous interactions in school,” said senior author of the study Kaja Abbas. “Based on return on investment and higher attack rates among children, we recommend prioritizing children and seniors after high-risk subpopulations for influenza vaccination during times of limited vaccine supplies.” Looking forward, the research team will apply this modelling framework to other urban and rural regions to inform policymakers how financial and medical benefits can be optimized through targeted vaccination strategies. This press release is based on text provided by the authors.
############
In your coverage please use this URL to provide access to the freely available article in PLOS Computational Biology: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005521 Press-only preview: (to be completed by PLOS) Contact: Name: Dan Rosplock Email:
[email protected] Ph: +1 (540) 231-2100 Citation: Dorratoltaj N, Marathe A, Lewis BL, Swarup S, Eubank SG, Abbas KM (2017) Epidemiological and economic impact of pandemic influenza in Chicago: Priorities for vaccine interventions. PLoS Comput Biol 13(6): e1005521. https://doi.org/10.1371/journal.pcbi.1005521
Image Caption: People wearing face masks to prevent and control acquisition and transmission of influenza during the 2009 H1N1 influenza pandemic. Image Credit: Demet/Flickr, CC-BY Image Link: (to be completed by PLOS) Funding: This study is supported by NIH NIGMS R01GM109718, NSF-ICES 1216000, NSF NRT-DESE 1545362, DTRA HDTRA1-11-1-0016, and DTRA HDTRA111-D-0016-0001. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. Back to the Top
About PLOS Computational Biology PLOS Computational Biology (www.ploscompbiol.org) features works of exceptional significance that further our understanding of living systems at all scales through the application of computational methods. For more information follow @PLOSCompBiol on Twitter or contact
[email protected]. Media and Copyright Information For information about PLOS Computational Biology relevant to journalists, bloggers and press officers, including details of our press release process and embargo policy, visit http://journals.plos.org/ploscompbiol/s/press-and-media . PLOS Journals publish under a Creative Commons Attribution License, which permits free reuse of all materials published with the article, so long as the work is cited. About the Public Library of Science The Public Library of Science (PLOS) PLOS is a nonprofit publisher and advocacy organization founded to accelerate progress in science and medicine by leading a transformation in research communication. For more information, visit http://www.plos.org. Disclaimer
This press release refers to upcoming articles in PLOS Computational Biology. The releases have been provided by the article authors and/or journal staff. Any opinions expressed in these are the personal views of the contributors, and do not necessarily represent the views or policies of PLOS. PLOS expressly disclaims any and all warranties and liability in connection with the information found in the release and article and your use of such information. Back to the Top