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Confined Animal Feeding Operations as Amplifiers of Influenza
ROBERTO A. SAENZ1, HERBERT W. HETHCOTE2, and GREGORY C. GRAY3
1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United
Kingdom.
2Department of Mathematics, College of Public Health, University of Iowa, Iowa City, Iowa.
3Center for Emerging Infectious Diseases, Department of Epidemiology, College of Public Health, University
of Iowa, Iowa City, Iowa.
Abstract
Influenza pandemics occur when a novel influenza strain, often of animal origin, becomes
transmissible between humans. Domestic animal species such as poultry or swine in confined animal
feeding operations (CAFOs) could serve as local amplifiers for such a new strain of influenza. A
mathematical model is used to examine the transmission dynamics of a new influenza virus among
three sequentially linked populations: the CAFO species, the CAFO workers (the bridging
population), and the rest of the local human population. Using parameters based on swine data,
simulations showed that when CAFO workers comprised 15-45% of the community, human
influenza cases increased by 42-86%. Successful vaccination of at least 50% of CAFO workers
cancelled the amplification. A human influenza epidemic due to a new virus could be locally
amplified by the presence of confined animal feeding operations in the community. Thus vaccination
of CAFO workers would be an effective use of a pandemic vaccine.
Keywords
Influenza in birds; Influenza A virus; Swine; Zoonoses; Communicable diseases; Models;
Theoretical
INTRODUCTION
A HUMAN INFLUENZA PANDEMIC is likely to occur when a novel zoonotic influenza A virus becomes
transmissible from person-to-person. The H5N1 avian influenza virus that has recently spread
rapidly to several continents and infected millions of wild birds and domestic poultry has the
potential to become the next pandemic strain. Fortunately, thus far only about 240 humans are
known to have been infected. However, it has been suggested that the virus only needs to
slightly change to become communicable among humans. The numerous cases of H5N1 avian
influenza infection in avian species provide many opportunities for H5N1 to mutate,
recombine, or reassort with other influenza viruses to make that change.
With so much attention upon H5N1 infections among avian species, it is easy to forget that
swine may play a role in pandemic influenza strain generation and transmission. Such was the
case during the 1918-1919 pandemic when there were numerous accounts of a farmer
developing influenza from his swine or swine developing influenza after farmers were infected
(Crosby 2003,Easterday 2003). Since then human-to-swine and swine-to-human influenza
cases have been well documented (Kimura et al. 1998,Dacso et al. 1984,de Jong et al.
Address reprint requests to: Dr. Roberto A. Saenz, Department of Applied Mathematics and Theoretical Physics, University of Cambridge,
Wilberforce Road, Cambridge, CB3 0WA, UK, E-mail:ras93@cam.ac.uk
NIH Public Access
Author Manuscript
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
Published in final edited form as:
Vector Borne Zoonotic Dis. 2006 ; 6(4): 338–346.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
1988,Hinshaw et al. 1978). Today many millions of susceptible pigs and poultry are housed
in confined animal feeding operations (CAFOs) in the United States and in other countries.
Not only is this crowding growing more intense for the swine, but also the industries are being
consolidated in specific geographical areas. Often the swine or poultry industry is the chief
employer in some rural communities.
The crowding of swine and poultry in CAFOs increases the transmission of influenza viruses.
Occupational exposure to pigs has been shown to increase the risk of swine influenza virus
infection in humans (Myers et al. 2006,Olsen et al. 2002). Thus, CAFO workers could serve
as a bridging population for transmission of an influenza virus between a local human
population and animals in CAFOs. Amplification occurs if the size of the epidemic in humans
is increased due to transmission of the influenza virus into the CAFO species which leads to
an epidemic in the CAFO species, and subsequent transmission back to the local human
population. This is similar to amplification of the West Nile virus epidemic by alligators (Klenk
et al. 2004).
Here we use mathematical modeling and simulations to assess the potential amplification of a
new influenza virus by domestic birds or animals raised in CAFOs. It is assumed that the new
influenza virus is transmissible in humans and in the CAFO species. This new influenza virus
may be the product of reassortment or mutation, but more important is the assumption that it
is both intra- and interspecies communicable. The model considers a local human population
that is connected epidemiologically to the CAFO species by CAFO workers. We consider pre-
epidemic vaccination of the CAFO workers as an intervention measure. Several vaccines
against H5N1 influenza virus are being tested (Stohr and Esveld 2004,Treanor et al. 2006) and
may be available in case of an epidemic, but a low efficacy is expected since it could poorly
match the emergent strain (Longini et al. 2005). Swine in CAFOs are chosen for our
simulations, since data were available to estimate parameter values, but a similar reasoning
would apply in the case of confined poultry. Note that highly pathogenic forms of avian
influenza might quickly destroy domestic chickens, alerting CAFO workers of a problem.
However, domestic chickens previously vaccinated against that strain may show few signs of
infection and highly pathogenic forms of avian influenza may cause mild or no clinical signs
among swine or domestic ducks (Choi et al. 2005,Songserm et al. 2006), prolonging undetected
human exposure.
METHODS
A multiple host model is used for the dynamics of the transmission of the influenza virus
(Dobson 2004, Hethcote 1978,1996,Hethcote and Van Ark 1987,Hethcote and Thieme
1985). The sequentially linked host populations are the CAFO species, the CAFO workers,
and the rest of the local human community. It is assumed that each host population is divided
into three epidemiological classes: susceptibles, infectives, and recovered individuals, so that
an SIR epidemic model is used (Anderson and May 1991,Hethcote 2000). Thus susceptible
individuals become infected and then recover with permanent immunity. The latent period for
influenza is very short, so it is not included in the model. The human influenza mortality rate
during the 1918 influenza pandemic was less than 1% in the United States (Crosby 2003). The
infection-related mortality rate in swine is also estimated to be less than 1% (Richt et al.
2003). Since the infection-related mortality rates in humans and swine are small for influenza,
they are neglected in our model. For avian strains like H5N1, where the case-fatality rate is
high, the model could be modified to include infection-related deaths. However, this
modification would not have much effect on the infection dynamics and subsequent
amplification, since infection-related deaths commonly occur near the end of or after the
individuals’ infectious period, for example, the median number of days from onset of symptoms
until death was 9 days for the H5N1 avian influenza infection in humans (WHO 2006).
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The transmission terms in the model are defined so that there are no direct contacts between
CAFO species and non CAFO-workers. Figure 1 shows the interactions between the three
groups. The groups considered in the model are the CAFO species (s), the CAFO workers
(w), and the rest of the people in the local community (n). Pre-epidemic vaccination of the
CAFO workers is also evaluated. It is assumed that a fraction of the CAFO workers are
successfully vaccinated before the beginning of the epidemic. The percentage successfully
vaccinated is the product of the vaccination coverage percentage and the vaccine efficacy.
CAFO workers are selected as the target group since vaccination of this bridging population
would have the biggest impact. Since a newly emergent influenza strain is considered, it is
assumed that every individual is susceptible at the beginning of the epidemic (with the
exception of those starting the epidemic and those successfully pre-vaccinated). Details of the
mathematical model are given in the Appendix.
Parameter estimates for the model
The basic reproduction number R0 is defined as the average number of secondary infections
that occur when one infective is introduced into a completely susceptible host population
(Anderson and May 1991,Hethcote 2000). For a single species SIR epidemic model, the basic
reproduction number is R0 = β/γ, which is the daily contact rate β times the average length 1/
γ of the infectious period in days (Hethcote 2000), so that β = γR0. The average infectious period
1/γ for human influenza has been estimated to be about 4 days (Stöhr 2004), so this is used as
the baseline value (thus γw = γn = 1/4). The average infectious period 1/γs for swine influenza
has been estimated to be 5-7 days (Richt et al. 2003,Hinshaw et al. 1981) and 7-10 days (Brown
2000), so that the value of 7 days is used as the baseline value (thus γs = 1/7).
Estimates of R0 for past human influenza epidemics are 2 < R0 < 3 for the 1918 Spanish
influenza A (H1N1) in US (Mills et al. 2004), 1.33 < R0 < 2.6 for the 1957 Asian influenza A
(H2N2) (Longini et al. 2005,Burnett and White 1974), and 1.4 < R0 < 1.89 for the 1968 Hong
Kong influenza A (H3N2) (Evans 1982). A newly emergent influenza strain would initially
not be well adapted for transmission among humans, so that its R0 would be less than 2 and
probably just above 1 (Antia et al. 2003). Thus
R
0
H
= 1.2 is selected as the baseline value of
the basic reproduction number in humans of the new influenza strain. This
R
0
H
comprises the
basic reproduction number for both CAFO workers and non CAFO-workers as members of a
community.
For the swine the approximation R0 = ln(S0/S∞)/(S0 - S∞) is used, where S0 and S∞ are the
susceptible fractions before and after the epidemic, respectively (Hethcote 2000). The
percentage of swine in a CAFO infected during a swine influenza outbreak in north-central US
was 51% (Brown 2000) and is often nearly 100% (Richt et al. 2003). The baseline value selected
is 80%, so that S0 = 1 and S∞ = 0.2. These values in the formula above lead to
R
0
S
= 2 for the
swine in a CAFO, which is used as the baseline value. Sensitivity analysis is done to consider
other fractions S∞ of infected animals at the end of a swine influenza epidemic.
The formula β = γR0 implies that the daily contact rate for humans is βH = (1/4) × 1.2 = 0.30
and the daily contact rate for swine is βS = (1/7) × 2 = 0.2857. For humans (CAFO workers
and non CAFO-workers together), the average number of adequate contacts βij is assumed to
be a multiple of the parameter βH, with constant of proportionality equal to the fraction of
individuals in group j. Thus, if the fraction of CAFO workers in the community equals θ, then
the contact rates with infected workers (w) are βnw = βww = θβH and the contact rates with
infected non CAFO-workers (n) are βnn = βwn = (1 - θ)βH, so that βnn + βnw = βH and βww +
βwn = βH. Notice that this assumption implies that the basic reproduction number for the CAFO
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workers’ group equals
R
0
w
=
θR
0
H
, while the basic reproduction number for the non CAFO-
workers is
R
0
n
=(1−
θ
)
R
0
H
.
The swine to swine contact rate is βss = βs. In order to estimate the contact rate βws of infected
swine with CAFO workers, an SIR epidemic model is used, in which the swine virus is only
spread by the swine (among themselves and to the CAFO workers). This agrees with the usual
dynamics of swine influenza viruses in humans (Kimura et al. 1998,Dacso et al. 1984). The
total fractions of people in the swine industry infected with a single strain of the swine influenza
virus have been recorded in several studies with values given by 20% (Schnurrenberger et al.
1970), 23% (Olsen et al. 2002), and 79% (Ayora-Talavera et al. 2005). We selected 50% as
the baseline percentage of infected CAFO workers. Thus the contact rate of infected swine
with CAFO workers βws is set to cβss and we adjust c to 0.43 in the simulations to obtain the
50% baseline percentage.
Due to the high number of hogs compared to the number of CAFO workers in the same facility,
it is assumed that it is much more likely that the confined swine transmit the virus to a CAFO
worker than the CAFO workers transmit it to an individual hog. Thus, the contact rate of
infected workers with swine βsw is set to dβws, and we select d = 0.01 as the baseline value.
The sensitivity to the choices of c and d is considered below. The baseline values of the
parameters are summarized in Table 1.
RESULTS
The following results are based on numerical simulations of the model equations in the
Appendix using the baseline parameter set. We assume that the new influenza virus would be
already adapted for transmission in humans, so it is started in the human population with 1%
of the humans initially infected, proportionally distributed among CAFO workers and the
general population. Communities in which 0%, 15%, 30%, and 45% of the population are
CAFO workers are considered. Figure 2 shows the simulated epidemic prevalence curves for
humans (both CAFO workers and the general population). Note that the presence of CAFO
workers increases dramatically the size of the epidemic and that these effects are greater as the
percentage of CAFO workers increases. The peak of the epidemic is delayed and is
approximately doubled when the percentage of CAFO workers is increased from 0% to 45%.
This epidemic delay reflects the time that it takes for transmission of the infection into the
swine followed by an outbreak in the swine and then transmission back to the local population.
The bottom graphs in Figure 3 show how the increase in the epidemic curves for the local
population coincides with the epidemic in swine. Notice also that the swine epidemic curve is
independent of the percentage of CAFO workers in the community, since the majority of the
new cases in hogs are due to contacts with other hogs. The peak in the CAFO workers epidemic
coincides with the swine epidemic peak due to their close interaction with the confined species
and is almost independent of the percentage of CAFO workers.
Another way to evaluate the impact that the CAFO species, through the CAFO workers, might
have on the influenza epidemic is by the percentage of seropositive individuals in the
community at the end of the epidemic. Figure 4 shows the percentage increases in the total
number of humans infected compared to the situation when no other species are present. For
the baseline case (no vaccination) the total number of infected persons is increased by 42%
and 86% when the CAFO workers represent 15% and 45% of the local population, respectively.
Figure 4 shows that when vaccination of CAFO workers is included in the simulations, the
impact of the CAFO species is reduced. When 30% of the CAFO workers are successfully
vaccinated prior to the epidemic, the percentage increase of human cases is reduced by more
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than half. Successful vaccination of 50% of the CAFO workers approximately cancels the
amplification. The decrease in the number of human cases is even larger when 70% of the
CAFO workers are successfully vaccinated.
Sensitivity analysis
Figure 5 shows the impact of
R
0
H
in humans on the percentage increase in human cases. The
effect of the CAFO species is much larger when
R
0
H
decreases to 1.1 from its baseline value
of 1.2. Even with 5% of CAFO workers in the community the percentage increase in cases is
38%. There would be a 154% increase, if 45% of the local population worked in a CAFO. The
impact of CAFOs becomes more significant as
R
0
H
is decreased from its baseline value of 1.2.
As the value of
R
0
H
decreases, the increase in amplification may be explained by the relative
increase of
R
0
S
with respect to
R
0
H
, so that the role of the CAFO species becomes more
important in the epidemic dynamics.
To consider the sensitivity of the basic reproduction number
R
0
S
in swine, we varied the total
fraction S∞ of infected swine at the end of a swine epidemic in our model from 50% to 95%.
Our simulations showed no change in the percentage increase of human cases. This occurs
because as the total percentage of infected swine is varied, the parameter βws changes so that
50% of CAFO workers are infected.
Figure 6 shows the increase in the percentage of total human cases as a function of the
percentage of CAFO workers, when the total fraction of CAFO workers infected (with a swine
influenza virus) varied from 20% to 80%. The parameter c in βws = cβss increases as the total
fraction of infected CAFO workers increases. Higher seropositivity percentages of CAFO
workers to swine influenza strains lead to larger increases in human cases.
Variation of the value of d in βsw = dβws does not change the amplification of the epidemic,
but does change the epidemic duration. For the baseline value d = 0.01, the duration of the
epidemic was 110 days and the maximum size of the epidemic was reached at 60 days (Fig.
3). When the value of d is increased to d = 0.2, the epidemic lasts around 90 days and the peak
of the epidemic is at 40 days, but for d = 0.002 the epidemic lasts about 125 days with the peak
at 75 days. Sensitivity analyses of the infectious periods were not done because consistent
estimates for them exist in the literature.
DISCUSSION
We have investigated the impact of a pandemic influenza virus upon multiple species in the
modern agriculture industry, where industry workers care for thousands of animals living in
efficient, but crowded conditions. As in the 1918 pandemic experience we have assumed that
the emergent human influenza virus would be efficiently transmitted among both humans and
domestic animals. We have used swine as the CAFO species in our model simulations, because
we live in Iowa (the largest producer of hogs in the United States) and we were able to estimate
the transmission parameters using CAFO swine. However, the model and the concept of local
amplification by a CAFO species would also be applicable to domestic poultry. Recent H5N1
epidemics in the domestic poultry industry in Thailand, Nigeria, and France have illustrated
the explosive outbreaks that may occur in CAFOs (OIE 2006). Birds may show few signs of
infection if the outbreaks occur among previously vaccinated flocks. The recent detection of
likely subclinical H5N1 infections among domestic swine in Indonesia and Vietnam show the
potential for CAFO transmission, should the virus change and move more efficiently among
swine.
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The model developed for the transmission dynamics of this novel influenza virus considered
three sequentially linked populations: a CAFO species, the CAFO workers, and the rest of the
local human community. The CAFO workers serve as the bridging population for interspecies
transmission, in the sense that only CAFO workers can infect and be infected by both humans
and the CAFO species. We used a system of simultaneous, nonlinear differential equations for
an SIR disease. Data on human and swine influenza epidemics and the extent of transmission
from swine to humans were used to estimate parameter values. Epidemics of the new influenza
virus were investigated in a local community, in which 5-45% of the population were CAFO
workers. Simulations of epidemics in the local community were obtained by numerical
solutions of the differential equation model. Using the baseline parameter set, we found that
the extent of the influenza epidemic in humans was amplified by 42-86% as the percentage of
CAFO workers in the local community varied from 15% to 45%. The amplification results are
sensitive to changes in the basic reproduction number
R
0
H
in humans and the extent of the
transmission of influenza viruses from swine to swine workers, but not to changes in other
parameter values.
It is known that CAFO workers are important transmitters of human influenza viruses to swine
in CAFOs, so that it is recommended that CAFO workers get yearly influenza vaccinations
and remain at home when they are ill (Olsen 2004). Similarly, vaccination of CAFO workers
could be used to reduce or prevent the local amplification of a new human influenza by a CAFO
species. Figure 4 shows the effects of vaccinating CAFO workers against the new influenza
virus in our transmission model. Notice that the amplification is cancelled out when about 50%
of CAFO workers are successfully vaccinated, and higher successful vaccination levels lead
to decreases in the size of the human epidemic. Thus vaccination of CAFO workers would be
an effective use of a vaccine against a new influenza virus.
While it is possible that a new influenza pandemic will not occur in the near future, many public
health officials believe that an influenza pandemic is likely to occur in this century. The ongoing
pandemic of H5N1 avian influenza in wild and domestic birds worldwide is providing many
opportunities for the virus to change into a form that might move more efficiently among both
humans and animals.
APPENDIX
The three groups considered in the model in Figure 1 are the CAFO species (s), the CAFO
workers (w), and the rest of the people in the local community (n). In group i, the variables
Xi, Y
i
, and Zi denote the numbers of susceptibles, infectives, and recovered individuals,
respectively. The parameter γi represents the rate at which infective individuals in group i
recover from the disease. The factor Fi gives the average number of adequate contacts with
infectious individuals per unit time of one susceptible from group i. Thus, FiXi denotes the
incidence of the disease, which is the number of new cases per unit time in group i. The
differential equations for the epidemiological dynamics of the new influenza virus are
dX i
dt
=−
FiX
i,
d
Y
i
dt
=
FiX
i−
γi
Y
i
,
dZi
dt
=
γi
Y
i
,
(1)
where i = s, w, or n.
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The frequency-dependent incidence term for the CAFO species is given by
FsXs
=
(
βss
Y
s
∕
Ns
+
βsw
Y
w
∕
Nw
)
Xs
, where βij denotes the average number of adequate
contacts per unit time of a susceptible individual in group i with individuals in group j (an
adequate contact is an encounter which is sufficient for transmission of infection if the group
i individual is susceptible and the group j individual is infectious) and Ni denotes the constant
number of individuals in group i (Hethcote et al. 2005). The incidence term for the people in
the community (non CAFO-workers) is given by
FnXn
=
(
βnn
Y
n
∕
Nn
+
βnw
Y
w
∕
Nw
)
Xn
.
CAFO workers are assumed to be the bridge for the transmission of the influenza virus between
the confined species and non CAFO-workers, so that all of the species affect the incidence of
the disease for the CAFO workers. Thus, this incidence term has the form
FwX
w=
(
βww
Y
w
∕
Nw
+
βws
Y
s
∕
Ns
+
βwn
Y
n
∕
Nn
)
Xw
.
Using the change of variables Xi = SiNi, Y
i
=
IiNi
, Zi = (1 - Si - Ii)Ni, system (1) becomes
system (2) below. The new variables Si and Ii represent the proportions of susceptibles and
infectious individuals in group i, respectively, with respect to the total population size of group
i. system (2) is given by:
d
S
i
dt
=−
fi
Si,
dI i
dt
=
fi
Si−
γiIi
,
(2)
where i = s, w, or n, and
fsSs
=
(
βssIs
+
βswIw
)
Ss
,
fwSw
=
(
βwwIw
+
βwsIs
+
βwnIn
)
Sw
,
fnSn
=
(
βnnIn
+
βnwIw
)
Sn
.
In order to consider pre-epidemic vaccination in the model, it is assumed that a fraction of the
CAFO workers are successfully vaccinated before the beginning of the epidemic.
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Olsen, CW. Influenza: pigs, people and public health. 2. National Pork Board, Public Health Fact Sheet;
2004. p. 6
Hethcote HW, Wang W, Li Y. Species coexistence and periodicity in host-host-pathogen models. J Math
Biol 2005;51:629–660. [PubMed: 15940537]
SAENZ et al. Page 8
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
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FIG 1.
Transmission dynamics between the CAFO species, CAFO workers, and the rest of the local
community. In each group, susceptibles (S) become infected (I) and then removed (R) after
recovery.
SAENZ et al. Page 9
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
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FIG 2.
Epidemic prevalence curves for humans corresponding to different percentages of CAFO
workers in the community.
SAENZ et al. Page 10
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
FIG 3.
Epidemic curves showing the prevalences for the confined species, CAFO workers, and local
population. Local communities consisting of 0%, 15%, 30%, and 45% CAFO workers are
considered in each case.
SAENZ et al. Page 11
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
FIG 4.
Percentage increases in the final size of the human influenza epidemic as a function of the
percentage of CAFO workers in the community. The curves correspond to pre-epidemic
successful vaccination of 0% to 70% of the CAFO workers. Local communities with 5%, 15%,
25%, 35%, and 45% of CAFO workers are considered.
SAENZ et al. Page 12
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
FIG 5.
Percentage increases in the final size of the epidemic as a function of the percentage of CAFO
workers in the community with
R
0
H
= 1.1, 1.2, 1.3, 1.4, and 1.5. CAFO workers are 5%, 15%,
25%, 35%, and 45% of the local population.
SAENZ et al. Page 13
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
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FIG 6.
Percentage increases in the final size of the human epidemic as a function of the percentage of
CAFO workers in the community. The contact rate βws is based on data in which 20-80% of
CAFO workers were seropositive to specific strains of swine influenza.
SAENZ et al. Page 14
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
SAENZ et al. Page 15
Table 1
Baseline Values Of Parameters
Parameter Baseline value
γs1/7
γw, γn1/4
R0H1.2
R0S2
θ0-0.45
βH0.30
βww, βnw θβH
βwn, βnn (1 - θ)βH
βss 0.2857
βws 0.43βss
βsw 0.01βws
Vector Borne Zoonotic Dis. Author manuscript; available in PMC 2007 October 26.