ISSN: 1080-6059
Edmund Y.W. Seto,* Jeffrey A. Soller,†
and John M. Colford Jr*
*University of California at Berkeley School of Public Health, Berkeley,
California, USA; and †Soller Environmental/Eisenberg, Olivieri, & Associates,
Berkeley, California, USA
Suggested citation for this article
The equations used for the Escherichia coli transmission model are as follows:
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where at day t, state S is the number of persons susceptible
to infection, E is the number of latent infections, C is the
number of infected but asymptomatic, D is the number of infected with
symptoms, and P is the number recovered from infection with partial and
short-term resistance to subsequent infection. The model accounts for
transmission of infection through the environment-to-person (
),
person-to-person (
), and spinach-consumption routes of
exposure (
),
and allows for a reduction in secondary transmission,
, due to an assumed
intervention.
The model was first calibrated to the annual incidence in the United States
by setting
and
and
then solving for values of
and
such that
![]()
where 73,80 is the Centers for Disease Control and Prevention's estimate of
annual cases in the United States (1), 1/δ is the average duration of symptoms, 1/365 converts the annual cases to an
average number of daily cases, and time, t, is large (i.e.,
is at
equilibrium).
was
constrained so that it produced the correct proportion of cases caused by
secondary transmission (2,3),
.
The model was subsequently calibrated to the reported outbreak conditions of
131 new illnesses between August 1 and September 19 and 93% of the illnesses
(122 persons infected) between August 19 and September 5 (4). This
calibration was done by allowing
to be greater than zero starting on August
19 (approximately when cases attributable to the outbreak were first
identified) for a varied number of days. We solved for both the value of
and the number
of days of transmission, such that they best-fit the outbreak conditions.
To compute the number of cases attributable to the outbreak, we subtracted
the number of cases for the endemic disease model (
) from the number of cases for the
outbreak model (
) during the outbreak period, August
1–September 19. The effect of proposed interventions on secondary transmission
was evaluated by using the time-varying function,
.
was set equal to 1 until the time
of intervention and then changed to represent a reduction in secondary
transmission.
Seto EYW, Soller JA, Colford JM Jr. Strategies to reduce person-to-person transmission during widespread Escherichia coli O157:H7 outbreak. Emerg Infect Dis [serial on the Internet]. 2007 Jun [date cited]. Available from http://www.cdc.gov/EID/content/13/6/860.htm
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Jeffrey A. Soller, Soller Environmental, 3022 King St, Berkeley, CA 94703, USA; email: jsoller@sollerenvironmental.com
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