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Demographic and clinical characteristics of deaths associated with influenza A(H1N1) pdm09 in Central America and Dominican Republic 2009–2010

Overview of attention for article published in BMC Public Health, July 2015
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Title
Demographic and clinical characteristics of deaths associated with influenza A(H1N1) pdm09 in Central America and Dominican Republic 2009–2010
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-2064-z
Pubmed ID
Authors

Rafael Chacon, Sara Mirza, David Rodriguez, Antonio Paredes, Giselle Guzman, Lourdes Moreno, Cecilia J. Then, Jorge Jara, Natalia Blanco, Luis Bonilla, Wilfrido A. Clara, Percy Minaya, Rakhee Palekar, Eduardo Azziz-Baumgartner

Abstract

The demographic characteristics of pandemic influenza decedents among middle and low-income tropical countries are poorly understood. We explored the demographics of persons who died with influenza A (H1N1)pdm09 infection during 2009-2010, in seven countries in the American tropics. We used hospital-based surveillance to identify laboratory-confirmed influenza deaths in Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama and Dominican Republic. An influenza death was defined as a person who died within two weeks of a severe acute respiratory infection (SARI) defined as sudden onset of fever >38 °C, cough or sore-throat, and shortness of breath, or difficulty breathing requiring hospitalization, and who tested positive for influenza A (H1N1)pdm09 virus by real time polymerase chain reaction. We abstracted the demographic and clinical characteristics of the deceased from their medical records. During May 2009-June 2010, we identified 183 influenza deaths. Their median age was 32 years (IQR 18-46 years). One-hundred and one (55 %) were female of which 20 (20 %) were pregnant and 7 (7 %) were in postpartum. One-hundred and twelve decedents (61 %) had pre-existing medical conditions, (15 % had obesity, 13 % diabetes, 11 % asthma, 8 % metabolic disorders, 5 % chronic obstructive pulmonary disease, and 10 % neurological disorders). 65 % received oseltamivir but only 5 % received it within 48 h of symptoms onset. The pandemic killed young adults, pregnant women and those with pre-existing medical conditions. Most sought care too late to fully benefit from oseltamivir. We recommend countries review antiviral treatment policies for people at high risk of developing complications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Rwanda 1 1%
El Salvador 1 1%
Unknown 83 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 24%
Researcher 13 15%
Student > Bachelor 9 10%
Student > Ph. D. Student 8 9%
Student > Postgraduate 7 8%
Other 17 20%
Unknown 11 13%
Readers by discipline Count As %
Medicine and Dentistry 31 36%
Agricultural and Biological Sciences 7 8%
Nursing and Health Professions 5 6%
Social Sciences 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Other 20 23%
Unknown 13 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 February 2016.
All research outputs
#17,766,929
of 22,818,766 outputs
Outputs from BMC Public Health
#12,450
of 14,866 outputs
Outputs of similar age
#176,500
of 262,894 outputs
Outputs of similar age from BMC Public Health
#240
of 288 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 262,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.