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Bird flu spread from humans to humans in 2006

  [image: Bird flu spread from humans to humans in 2006]  JAKARTA, 29 August
2007 - In the first systematic, statistical analysis of its kind,
infectious-disease-modeling experts at Fred Hutchinson Cancer Research
Center confirm that the avian influenza A (H5N1) virus in 2006 spread
between a small number of people within a family in Indonesia. The findings,
by biostatistician Ira M. Longini Jr., Ph.D., and colleagues, will be
published in the journal Emerging Infectious Diseases.

Co-authors on the paper were biostatisticians M. Elizabeth (Betz) Halloran,
M.D., D.Sc., and Yang Yang, Ph.D.; and epidemiologist Jonathan Sugimoto,
M.H.S., a pre-doctoral research associate. All are within the Hutchinson
Center's Public Health Sciences Division and Vaccine and Infectious Disease
Institute.

The researchers based their findings on a cluster of eight flu cases within
an extended family in northern Sumatra. Using a computerized
disease-transmission model that took into account the number of infected
cases, the number of people potentially exposed, the viral-incubation period
and other parameters, the researchers produced the first statistical
confirmation of humans contracting the disease from each other rather than
from infected birds.

The cluster contained a chain of infection that involved a 10-year-old boy
who probably caught the virus from his 37-year-old aunt, who had been
exposed to dead poultry and chicken feces, the presumed source of infection.
The boy then probably passed the virus to his father. The possibility that
the boy infected his father was supported by genetic sequencing data. Other
person-to-person transmissions in the cluster are backed up with statistical
data. All but one of the flu victims died, and all had had sustained close
contact with other ill family members prior to getting sick - a factor
considered crucial for transmission of this particular flu strain.

In an attempt to contain the spread of the virus, the local health
authorities eventually placed more than 50 surviving relatives and close
contacts under voluntary quarantine and all, except for pregnant women and
infants, received antiviral medication as a precaution. "The containment
strategy was implemented late in the game, so it could have been just luck
that the virus burned out," Longini said. "It went two generations and then
just stopped, but it could have gotten out of control. The world really may
have dodged a bullet with that one, and the next time we might not be so
lucky," he said.

Should a strain of avian flu acquire the ability to cause sustained
human-to-human transmission, the results could be catastrophic, Longini
said. "If not contained, the outbreak could spread worldwide through the
global transportation network faster than the appropriate vaccine supply
could be made available. That's why it's so important to ascertain whether
human-to-human transmission is happening as well as the virulence of the
strain." The researchers estimated the secondary-attack rate of the virus in
Indonesia - the risk of one infected person passing it to another - to be 29
percent, a level of infectiousness similar to statistical estimates for
seasonal influenza A in the United States.

The researchers also aimed their statistical transmission-assessment
technology at another large avian-flu cluster in eastern Turkey that in 2006
infected eight people, four of whom died. In this case, the researchers did
not find statistical evidence of human-to-human transmission, most likely
due to a lack of sufficient data. "There probably was person-to-person
spread there as well but we couldn't get all the information we needed for
the analysis," Yang said.

The methods and software used in this research led to the development of a
software application called TranStat, which will allow first responders to
enter, store and perform real-time analysis of data from infectious-disease
outbreaks. This tool soon will be available online free of charge via MIDAS,
the Models of Infectious Disease Agent Study, which is supported by the
National Institute of General Medical Sciences.

"We know the key to preventing a pandemic is early detection, containment
and mitigation with antiviral therapy and this tool will enable those on the
front lines, such as physicians, epidemiologists and other public-health
officials, to carry that out efficiently," Halloran said. "The manuals on
how to collect the necessary data are decades old. They are very outdated
and incomplete. Often people on the front lines don't know what to do; they
don't collect the correct data to assess whether transmission is occurring.
TranStat will prompt people to gather precisely the data that needs to be
collected to better understand and contain any infectious-disease spread,
not just the avian flu," Sugimoto said.

If a smoldering disease cluster does flame out of control, the software also
could be used to estimate the important characteristics of the virus - such
as its transmissibility, secondary-attack rate and reproductive number -
which would give public-health officials a better chance at slowing its
spread until a vaccine or other effective control measures could be
implemented.

Yang and colleagues recently described the basis for the statistical methods
used in the research in The Annals of Applied Statistics. The study was
funded and supported by the National Institute of General Medical Sciences
MIDAS network and the National Institute of Allergy and Infectious Diseases.

Longini and Halloran also are professors of biostatistics and Sugimoto is a
pre-doctoral student in the School of Public Health and Community Medicine
at the University of Washington.

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