Article

Initial human transmission dynamics of the pandemic (H1N1) 2009 virus in North America.

Division of Mathematical Modeling, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Influenza and Other Respiratory Viruses (impact factor: 4.16). 10/2009; 3(5):215-22. DOI:10.1111/j.1750-2659.2009.00100.x
Source: PubMed

ABSTRACT Between 5 and 25 April 2009, pandemic (H1N1) 2009 caused a substantial, severe outbreak in Mexico, and subsequently developed into the first global pandemic in 41 years. We determined the reproduction number of pandemic (H1N1) 2009 by analyzing the dynamics of the complete case series in Mexico City during this early period.
We analyzed three mutually exclusive datasets from Mexico City Distrito Federal which constituted all suspect cases from 15 March to 25 April: confirmed pandemic (H1N1) 2009 infections, non-pandemic influenza A infections and patients who tested negative for influenza. We estimated the initial reproduction number from 497 suspect cases identified prior to 20 April, using a novel contact network methodology incorporating dates of symptom onset and hospitalization, variation in contact rates, extrinsic sociological factors, and uncertainties in underreporting and disease progression. We tested the robustness of this estimate using both the subset of laboratory-confirmed pandemic (H1N1) 2009 infections and an extended case series through 25 April, adjusted for suspected ascertainment bias.
The initial reproduction number (95% confidence interval range) for this novel virus is 1.51 (1.32-1.71) based on suspected cases and 1.43 (1.29-1.57) based on confirmed cases before 20 April. The longer time series (through 25 April) yielded a higher estimate of 2.04 (1.84-2.25), which reduced to 1.44 (1.38-1.51) after correction for ascertainment bias.
The estimated transmission characteristics of pandemic (H1N1) 2009 suggest that pharmaceutical and non-pharmaceutical mitigation measures may appreciably limit its spread prior the development of an effective vaccine.

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Keywords

95% confidence interval range
 
ascertainment bias
 
complete case series
 
contact rates
 
effective vaccine
 
estimated transmission characteristics
 
extended case series
 
extrinsic sociological factors
 
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laboratory-confirmed pandemic
 
Mexico City
 
Mexico City Distrito Federal
 
non-pharmaceutical mitigation measures
 
novel contact network methodology incorporating dates
 
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time series
 
uncertainties