Title |
Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
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Published in |
BMC Medicine, September 2009
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DOI | 10.1186/1741-7015-7-45 |
Pubmed ID | |
Authors |
Duygu Balcan, Hao Hu, Bruno Goncalves, Paolo Bajardi, Chiara Poletto, Jose J Ramasco, Daniela Paolotti, Nicola Perra, Michele Tizzoni, Wouter Van den Broeck, Vittoria Colizza, Alessandro Vespignani |
Abstract |
On 11 June the World Health Organization officially raised the phase of pandemic alert (with regard to the new H1N1 influenza strain) to level 6. As of 19 July, 137,232 cases of the H1N1 influenza strain have been officially confirmed in 142 different countries, and the pandemic unfolding in the Southern hemisphere is now under scrutiny to gain insights about the next winter wave in the Northern hemisphere. A major challenge is pre-emptied by the need to estimate the transmission potential of the virus and to assess its dependence on seasonality aspects in order to be able to use numerical models capable of projecting the spatiotemporal pattern of the pandemic. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
North Macedonia | 1 | 33% |
United Kingdom | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 3% |
Italy | 4 | 1% |
United Kingdom | 4 | 1% |
Australia | 3 | <1% |
Spain | 3 | <1% |
Brazil | 3 | <1% |
France | 2 | <1% |
Canada | 2 | <1% |
Israel | 1 | <1% |
Other | 6 | 2% |
Unknown | 345 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 88 | 23% |
Researcher | 83 | 22% |
Student > Master | 51 | 13% |
Student > Bachelor | 23 | 6% |
Professor > Associate Professor | 22 | 6% |
Other | 69 | 18% |
Unknown | 50 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 57 | 15% |
Physics and Astronomy | 47 | 12% |
Agricultural and Biological Sciences | 44 | 11% |
Computer Science | 41 | 11% |
Mathematics | 34 | 9% |
Other | 101 | 26% |
Unknown | 62 | 16% |