| Title |
Searching for Sharp Drops in the Incidence of Pandemic A/H1N1 Influenza by Single Year of Age
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0042328 |
| Pubmed ID | |
| Authors |
Jessica Hartman Jacobs, Brett Nicholas Archer, Michael G. Baker, Benjamin J. Cowling, Richard T. Heffernan, Geoff Mercer, Osvaldo Uez, Wanna Hanshaoworakul, Cécile Viboud, Joel Schwartz, Eric Tchetgen Tchetgen, Marc Lipsitch |
| Abstract |
During the 2009 H1N1 pandemic (pH1N1), morbidity and mortality sparing was observed among the elderly population; it was hypothesized that this age group benefited from immunity to pH1N1 due to cross-reactive antibodies generated from prior infection with antigenically similar influenza viruses. Evidence from serologic studies and genetic similarities between pH1N1 and historical influenza viruses suggest that the incidence of pH1N1 cases should drop markedly in age cohorts born prior to the disappearance of H1N1 in 1957, namely those at least 52-53 years old in 2009, but the precise range of ages affected has not been delineated. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| India | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 2% |
| Taiwan | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 44 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 32% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Postgraduate | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 28% |
| Medicine and Dentistry | 9 | 19% |
| Immunology and Microbiology | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Mathematics | 3 | 6% |
| Other | 4 | 9% |
| Unknown | 7 | 15% |