Blood transfusion and spread of variant Creutzfeldt-Jakob disease.Variant Creutzfeldt-Jakob disease Creutzfeldt-Jakob disease: see prion.
Rare fatal disease of the central nervous system. It destroys brain tissue, making it spongy and causing progressive loss of mental functioning and motor control. (vCJD) may be transmissible transmissible /trans·mis·si·ble/ (trans-mis´i-b'l) capable of being transmitted.
Capable of being conveyed from one person to another. by blood. To prevent secondary transmission through blood components, several countries have started to exclude as donors persons who have received a blood transfusion blood transfusion, transfer of blood from one person to another, or from one animal to another of the same species. Transfusions are performed to replace a substantial loss of blood and as supportive treatment in certain diseases and blood disorders. . We investigated the effectiveness of this measure by using a dynamic age-structured model. It is the first such model based on epidemiologic ep·i·de·mi·ol·o·gy
The branch of medicine that deals with the study of the causes, distribution, and control of disease in populations.
[Medieval Latin epid data: 1) blood donor activities, 2) a case-control study case-control study,
n an investigation employing an epidemiologic approach in which previously existing incidents of a medical condition are used in lieu of gathering new information from a randomized population. on CJD CJD
CJD Creutzfeldt-Jakob disease, see there , 3) age distribution of recipients, and 4) death of recipients of blood transfusions. The model predicts that an infection like vCJD, which has been introduced into the population by the alimentary alimentary /al·i·men·ta·ry/ (al?i-men´tah-re) pertaining to food or nutritive material, or to the organs of digestion.
1. route, could not become endemic endemic /en·dem·ic/ (en-dem´ik) present or usually prevalent in a population at all times.
1. by transfusion Transfusion Definition
Transfusion is the process of transferring whole blood or blood components from one person (donor) to another (recipient). alone and that only <1% of cases would be avoided by excluding from blood donation “Give blood” redirects here. For other uses, see Give blood (disambiguation).
Blood donation is a process by which a blood donor voluntarily has blood drawn for storage in a blood bank, generally for subsequent use in a blood transfusion. those persons who have received a transfusion.
Recent studies of variant Creutzfeldt-Jakob disease (vCJD) indicate that this disease is transmissible by blood. One case of probable transfusion-transmitted vCJD infection has been reported, and 1 case of subclinical infection subclinical infection An infection in which Sx are mild or inapparent, and may not be diagnosed other than by positive confirmation of the ability to transmit the infection or serologically has been detected (1,2). On February 9, 2006, a third case was announced by the UK Health Protection Agency (www.hpa.org.uk/hpa/news/articles/press_releases/ 2006/060209_cjd.htm). Each of the 3 patients had received a blood transfusion from a donor who subsequently developed clinical vCJD, which indicates that transfusion caused the infection. However, a policy to exclude potential donors who had received a transfusion would not have prevented at least the first 2 cases because the corresponding donors had not received any blood transfusion. Diagnostic tools to detect prions in blood are under development (3), but no routine test for the presence of the infectious agents infectious agent Pathogen, see there ofvCJD is available. Therefore, the questions arise as to whether an infection like vCJD could become endemic through blood donation alone and to what extent exclusion of potential donors with a history of transfusion would influence the transmission of such an infection (i.e., how many deaths due to the infection could be prevented?). The following mathematical model
Figure 1A shows the transitions of a person through the basic states of potential donor activities and receipt of blood transfusion. After birth a person is in the state of not having received any transfusion and not yet being an active donor ([S.sub.00]). The first index refers to the person's state as a transfusion recipient; the second index, to the person's status as a donor. Persons in state [S.sub.00] can change to state Sol Sol, in Roman religion
Sol (sŏl), in Roman religion, sun god. An ancient god of Mesopotamian origin, he was introduced (c.220) into Roman religion as Sol Invictus by emperor Heliogabalus. by becoming a donor or to state [S.sub.100] or [S.sub.101] by receiving a blood transfusion. The third index indicates whether a person with a transfusion history can actually be identified and excluded from donating blood (deferred) (index 1) or not (index 0). The states [S.sub.111] and [S.sub.110] can be reached by either transfusion recipients who start donating blood or active donors who receive a blood transfusion. Blood donors who become inactive are transferred into the states of ex-donors[S.sub.02]and [S.sub.12], depending on their transfusion history. Ex-donors can also become transfusion recipients; i.e., they are transferred from [S.sub.02] to [S.sub.12]. Donor exclusion transfers a certain proportion of transfusion recipients into the state of ex-donors. For all susceptible states, Figure 1B shows the transitions to the corresponding infected in·fect
tr.v. in·fect·ed, in·fect·ing, in·fects
1. To contaminate with a pathogenic microorganism or agent.
2. To communicate a pathogen or disease to.
3. To invade and produce infection in. states. Table 1 provides a list of all input parameters together with descriptions and sources. The details of the model with all the numerical parameter A numerical parameter is an unspecified quantity used in a function that would be completely specified if the parameter were known. Examples include:
[FIGURE 1 OMITTED]
Demography demography (dĭmŏg`rəfē), science of human population. Demography represents a fundamental approach to the understanding of human society.
To simplify the model, we did not attempt to describe the demographics The attributes of people in a particular geographic area. Used for marketing purposes, population, ethnic origins, religion, spoken language, income and age range are examples of demographic data. of the population during the next 150 years. Doing so would involve predicting changes in rates of birth, death, and immigration immigration, entrance of a person (an alien) into a new country for the purpose of establishing permanent residence. Motives for immigration, like those for migration generally, are often economic, although religious or political factors may be very important. . It is assumed that in the absence of infection, the population is demographically stationary. We assumed a constant inflow in·flow
1. The act or process of flowing in or into: an inflow of water; an inflow of information.
2. of newborns and an age-specific death rate. The latter was estimated as a weighted mean of the age-specific female and male death rates. Because this study was initiated in Germany, we used the corresponding demographic data. To start the simulation in a demographically stationary state “Ground state” redirects here. For the Angel episode, see Ground State (Angel episode).
In quantum mechanics, a stationary state is an eigenstate of a Hamiltonian, or in other words, a state of definite energy. , the model was run for 100 years without infection. Thus, the age distribution of the population was identical to the life table of Germany 2002/2004 averaged over both sexes (www.destatis.de/download/d/ bevoe/sterbet04.xls).
Modeling Blood Donors
Blood donors in Germany are [greater than or equal to]18 and <68 years of age. The rates for becoming a new donor and terminating the period as an active donor are age dependent. The corresponding parameters were estimated by using data from 262,071 donors registered with the German Red Cross (DRK DRK Deutsches Rotes Kreuz (German Red Cross)
DRK Devnet Resource Kit
DRK Display Require Keyboard ) Blood Service West in Hagen, Germany, including age, sex, age at first donation, number of donations, and date of last donation.
The age-specific prevalence of active donors peaks at [approximately equal to] 24 years of age and subsequently declines monotonically to zero by age 68. The overall prevalence in the population is 3%, i.e., 2.4 million donors in a population of [approximately equal to] 80 million.
Modeling Transfusion Recipients
The model takes into account that persons may receive > 1 transfusion throughout their lifetime, but it does not track the number of transfusions received per person. Persons with [greater than or equal to] 1 transfusion continue to be at risk for infection from further transfusions. The age-specific risk of receiving a transfusion was estimated from data for all patients hospitalized at the University Hospital in Essen during March 2003. Of 4,867 patients, 1,343 (27.6%) received [greater than or equal to] 1 transfusion. The number of persons receiving a blood transfusion in each 5-year age group was divided by the corresponding number of persons in the general population. The observed rates were fitted with a simple model that assumes initially an exponential 1. (mathematics) exponential - A function which raises some given constant (the "base") to the power of its argument. I.e.
f x = b^x
If no base is specified, e, the base of natural logarthims, is assumed.
2. decline and subsequently a unimodal Adj. 1. unimodal - having a single mode
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters peak, which is proportional to the density function of the normal distribution. These age-specific ratios were properly scaled to balance the yearly number of transfusions per capita [Latin, By the heads or polls.] A term used in the Descent and Distribution of the estate of one who dies without a will. It means to share and share alike according to the number of individuals. . To limit the complexity of the model, we did not take into account persons in subgroups, such as those with hemophilia hemophilia (hē'məfĭl`ēə,–fēl`yə), genetic disease in which the clotting ability of the blood is impaired and excessive bleeding results. , who obtain blood products from pools of donors. Because for medical reasons these subgroups are excluded from donating blood, they cannot contribute to persistence of the infection.
Independence of Receiving and Donating Blood
The events of receiving a blood transfusion and of donating blood are assumed to be independent of each other. This assumption is supported by the results of a case-control study of potential risk factors for CJD, which was coordinated by the Clinical Surveillance Centre for CJD, Department of Neurology neurology (nrŏl`əjē, ny–), study of the morphology, physiology, and pathology of the human nervous system. in Gottingen, Germany (7). Table 2 shows the joint distribution for the control group of having received and donated blood. According to according to
1. As stated or indicated by; on the authority of: according to historians.
2. In keeping with: according to instructions.
3. the Fisher exact test, the p value for the hypothesis of no association is 0.43.
The quality or state of being heterogeneous.
the state of being heterogeneous. in the risk of receiving a blood transfusion is modeled by the assumption that only a proportion of the population are at risk, whereas the remaining proportion never receives a transfusion. This assumption was introduced to be consistent with data from the case-control study, in which [approximately equal to] 18% of the population reported having ever received a blood transfusion. Without this assumption, the model would predict that eventually 100% of a cohort would receive a blood transfusion because the average annual risk of receiving a blood transfusion is about 5%, i.e., [approximately equal to] 4 million in a population of 80 million.
Modeling Transfusion-associated Death Rates
The transfusion-associated death rate has been described in detail by Wallis et al. (4). A good fit to the data assumes that at all ages a certain proportion of transfusion recipients have a higher rate of dying and the remaining proportion has a survival rate that corresponds to that of persons of the same age group in the general population. This age-dependent proportion of transfusion recipients with an increased risk for death is described by a generalized logistic function A logistic function or logistic curve models the S-curve of growth of some set P. The initial stage of growth is approximately exponential; then, as saturation begins, the growth slows, and at maturity, growth stops. with a positive value at birth and an asymptote asymptote
In mathematics, a line or curve that acts as the limit of another line or curve. For example, a descending curve that approaches but does not reach the horizontal axis is said to be asymptotic to that axis, which is the asymptote of the curve. <100% for old age. The transfusion-associated death rate increases linearly with age. The increased death rate appears to be concentrated in the first 2 years after a transfusion. Wallis et al. report that 2,888 patients were observed as long as 7.4 years after transfusions received in June 1994 (4). The sex-specific rates were averaged for the simulation model.
Modeling the Infection
Usually the incubation period incubation period
1. See latent period.
2. See incubative stage.
Incubation period refers to the time between the infection and disease. In the context of CJD, however, disease can refer to onset, diagnosis, or death. Like Bacchetti, we also focused on death rates (8-10). The incubation period is assumed to be gamma distributed with a mean duration of 16 years and a standard deviation In statistics, the average amount a number varies from the average number in a series of numbers.
(statistics) standard deviation - (SD) A measure of the range of values in a set of numbers. of 4 years, which conforms to estimates of Valleron et al. and Ghani et al. (5,6). Because of great uncertainty about the length of the incubation incubation /in·cu·ba·tion/ (in?ku-ba´shun)
1. the provision of proper conditions for growth and development, as for bacterial or tissue cultures.
2. time, we also considered a much higher value of 50 years in the absence of the competing risk for death. The coefficient of variation Coefficient of Variation
A measure of investment risk that defines risk as the standard deviation per unit of expected return. is assumed to be the same, such that the standard deviation is 12.5 years. Because of competing risks, the actual sojourn in the incubation period is 15.3 for an incubation period of 16 years and 34.0 years for an incubation period of 50 years. The proportions of infected persons who would die with disease symptoms are 79% and 37% for the incubation periods of 16 and 50 years, respectively. This means that for an incubation time of 50 years, nearly two thirds would die without disease symptoms. Hereafter In the future.
The term hereafter is always used to indicate a future time—to the exclusion of both the past and present—in legal documents, statutes, and other similar papers. we refer to these values of 15 and 50 years as short and long incubation periods.
We distinguish between 2 modes of transmission. Initially, the infection is introduced into the population by the alimentary route. In the United Kingdom the number of infected animals entering the food supply peaked in 1989; most were concentrated within a period of 10 years (11), which we take as the assumed period of alimentary infection. After this period, this mode of transmission was interrupted so that further transmissions are possible only through blood transfusions.
A study to detect the presence of abnormal prion prion (prī`ŏn), infectious agent thought to cause a group of diseases known as
prion diseases or transmissible spongiform encephalopathies. protein in appendix and tonsil tonsil
Small mass of lymphoid tissue in the wall of the pharynx. The term usually refers to the palatine tonsils on each side of the oropharynx. They are thought to produce antibodies to help prevent respiratory and digestive tract infection but often become infected tissues has suggested a prevalence of 235 infections per million in the United Kingdom (12). We arbitrarily assumed the prevalence of infections in Germany to be [approximately equal to] 1 order of magnitude A change in quantity or volume as measured by the decimal point. For example, from tens to hundreds is one order of magnitude. Tens to thousands is two orders of magnitude; tens to millions is three orders of magnitude, etc. lower, yielding a cumulative incidence of 25 per million, which was the value used for the simulations.
We made 2 contrasting assumptions about the infectivity infectivity
ability of an agent to infect. of blood preparations and evaluated the results of these 2 simulations: each transfusion (100% infectivity) or no blood transfusion (0% infectivity) from an infected donor leads to infection of the recipient. In the model the infection probability (probability of receiving blood from an infected donor) is proportional to the proportion of infected donors among all donors. Thus, we can calculate the number of infections from blood transfusions compared with the number of infections from alimentary transmission alone.
Modeling Donor Exclusion
The model distinguishes between persons with and without transfusion history, termed recipients and nonrecipients; these terms are applied to persons whether they have or have not donated blood. The model allows recipients to be excluded from donating blood. In modeling the exclusion of recipients, we took into account that this measure may be imperfect imperfect: see tense. and that a certain proportion of recipients may not be excluded.
For the parameter estimates obtained from the sources described above, the infection cannot become endemic (Figure 2). If we assume no further spread through blood transfusions after 10 years of infections by the alimentary route, the maximum prevalence reached is [approximately equal to] 1,860 (1,434 for nonrecipients plus 426 for recipients) because some of the infected persons die of other causes during the incubation period. If transmission is assumed to be possible through blood transfusions (100% infectivity), then the maximum prevalence among recipients is increased by [approximately equal to] 78 infections after 4 more years for the short incubation period and by 193 infections after 23 more years for the long incubation period.
[FIGURE 2 OMITTED]
We assumed that donor exclusion is implemented immediately at the beginning of the alimentary infection risk period, which reduced the original number of 2.55 million donors by [approximately equal to] 20% to a value of 2.05 million donors. Because the model does not account for the stock of blood donations, this reduction in the number of donors must be compensated for with an increased rate of donations per donor to satisfy the demand; i.e., the average number of donations would have to increase from 1.6 to 2 per donor per year. Figure 2A shows that donor exclusion has almost no effect when the incubation period is assumed to be 16 years. The absolute prevalence (i.e., the actual number of infected persons) differs at most by 9. For a long incubation, differences are visible (59 persons at most) but small in view of the long time intervals and the size of the total population (Figure 2B). The reason for these small differences is described below.
The cumulative numbers of deaths from the infection are given in Table 3. The numbers are considerably smaller for the long than for the short incubation period because a long incubation period implies more deaths from other causes. The numbers are given separately for cases in patients with and without a history of blood transfusion. The route of infection for nonrecipients is alimentary only, whereas the route of infection for recipients is unclear. If we compare the simulations at 100% and 0% infectivity of blood transfusions, we observe 172 and 224 additional cases for the short and the long incubation periods, respectively. These numbers represent 11% of 1,557 and 31% of 725 cases, which would be expected for 0% infectivity for the short and long incubations periods, respectively. For the short incubation period we expect a higher absolute number of alimentary cases but a smaller proportion of transfusion cases than for the long incubation period. The exclusion of donors would prevent only 15 and 50 cases, i.e., [approximately equal to] 15 (0.9%) of 1,729 and 50 (5%) of 949, respectively, at the end of the epidemic. The epidemic lasts for [approximately equal to] 50 or [approximately equal to] 150 years for the short and the long incubation periods, respectively.
The predicted yearly incidence of deaths due to vCJD, separated by transfusion history, is shown in Figure 3. The yearly peak incidence of total deaths would be 128 and 29 for the short and the long incubation periods at 23 and 51 years after the beginning of the epidemic, respectively. For 0% infectivity the peak incidence would be only 5 and 3 cases less for the short and long incubation periods, respectively, which implies that the exclusion of donors with a transfusion history does not effectively prevent infection.
[FIGURE 3 OMITTED]
Figure 4 shows the predicted yearly incidence of deaths according to the route of infection. The time lags between the peaks of deaths due to alimentary infection and due to transfusion clearly differ and are 9 and 20 years for short and long incubation periods, respectively.
[FIGURE 4 OMITTED]
Finally, we considered the absolute prevalence of infected donors according to their history of blood transfusion (Figure 5). Most infected donors do not have a transfusion history, which explains the negligible effect of a policy excluding transfusion recipients from donation.
[FIGURE 5 OMITTED]
To determine whether the same model could also predict transition into a positive endemic equilibrium of the infection, we made the unrealistic assumptions that the rates of donor recruitment and donor loss are constant between the ages of 18 and 67 and that the rate of receiving a blood transfusion is constant throughout life. Then the model showed an extremely long time (>2,000 years) before positive equilibrium would be reached (results not shown).
Our model is the first attempt to describe in a realistic way the transmission of infections through blood transfusions. In 1994, Velasco-Hernandez proposed a model for the spread of Chagas disease Cha·gas disease or Cha·gas-Cruz disease
See South American trypanosomiasis. by vectors and blood transfusion (13). His model was used by Roberts and Heesterbeek to introduce their new concept to estimate the effort to eradicate Eradicate
To completely do away with something, eliminate it, end its existence.
Mentioned in: Smallpox an infectious disease Infectious disease
A pathological condition spread among biological species. Infectious diseases, although varied in their effects, are always associated with viruses, bacteria, fungi, protozoa, multicellular parasites and aberrant proteins known as prions. (14). Huang and Villasana included transmission through blood transfusion in an AIDS model (15). All these models have in common what Inaba and Sekine state about their extension of VelascoHernandez's Chagas model: "... here we assume that blood donors are randomly chosen from the total population, and so there is no screening and the recipients of blood donations are donating blood themselves at the same rate as anybody else. This is an unrealistic assumption, but we will use it." (16). These models implicitly describe transmission through blood transfusion exactly like person-to-person transmission by droplet infections drop·let infection
An infection transmitted from one individual to another by droplets of moisture expelled from the upper respiratory tract through sneezing or coughing. .
The key innovation in our model is the simultaneous incorporation of 6 functions that all depend explicitly on the age of a person: 1) natural death rate, 2) rate of receiving a blood transfusion, 3) rates of donor recruitment, 4) donor loss, 5) death rate associated with transfusions, and 6) proportion of transfusion recipients at increased risk for death. The age-dependent effects of these processes cannot be ignored. Peak ages of donor activity ([approximately equal to] 22 years) and of receiving a blood transfusion ([approximately equal to] 70 years) are quite distinct and [approximately equal to] 50 years apart. This age pattern does not favor the spread of infection by blood transfusion. Another factor that acts against the infection becoming endemic is the transfusion-associated death rate. The good quality of the follow-up data of nearly 3,000 patients helped to incorporate realistic assumptions about the survival probabilities of transfusion recipients (4). The only data available about the joint distribution of blood donor activity and history of a blood transfusion was the CJD case-control study performed in Gottingen, Germany (7).
The length of the incubation period plays a major role in transmission dynamics and hence was subject to a sensitivity analysis. The model does not account for possible changes of infectivity during the incubation period. The model represents a worst-case scenario worst-case scenario n → Schlimmstfallszenario nt because it assumes 100% infectivity throughout the period of infection. Even under this extreme assumption, donor exclusion can prevent only 0.9% (or 5%) of the expected deaths, assuming the incubation period has a mean duration of 16 (or 50) years. The main explanation for this surprising result is that most infected donors have been infected by the alimentary route and never received any blood transfusion and, therefore, are not eligible for donor exclusion.
The present simulations have arbitrarily assumed a cumulative incidence of alimentary infection, about 25 per million (2,000 per 80 million). With pessimistic pes·si·mism
1. A tendency to stress the negative or unfavorable or to take the gloomiest possible view: "We have seen too much defeatism, too much pessimism, too much of a negative approach" assumptions, the model predicts either 19.5 deaths per million for the short incubation period or 9 deaths per million for the long incubation period in the absence of spread through blood transfusion. This corresponds to at least 9 (36%) of 25 deaths attributable to the infection, which is [approximately equal to] 2 orders of magnitude higher than expected for vCJD in the United Kingdom. As of July 2006, the number of vCJD cases in the United Kingdom was 160. If we assume that the total number of cases will be 200, then our assumption corresponds to about 3.3 cases per million. Thus, at most, 1.4% of infected persons would die from the infection (unless a second wave of vCJD cases with a long incubation period occurs). According to our model, 0.9% of the deaths could be prevented by donor exclusion under the assumption of the short incubation period. In absolute numbers this would be [approximately equal to] 2 cases.
In France, the total number of vCJD cases recorded through July 2006 is 18. Even under the assumption that this number represents only 35% of the total number of cases (17), the absolute expected number of prevented cases would be <1. In 1998, France decided to exclude donors with a transfusion history, primarily to reduce the spread of viruses. The present model could be modified to assess the effectiveness of excluding donors with transfusion history for preventing emerging infections with different modes of transmission and additional epidemiologic states, e.g., latent or immune.
Our worst-case scenario assumptions of the epidemiology epidemiology, field of medicine concerned with the study of epidemics, outbreaks of disease that affect large numbers of people. Epidemiologists, using sophisticated statistical analyses, field investigations, and complex laboratory techniques, investigate the cause might seem similar to the situation in the United Kingdom. In Germany, no case of vCJD has been reported, which indicates that the expected number of cases in Germany is at least 2 orders of magnitude less than that in the United Kingdom. This latter aspect was considered in the interpretation of our model by a working group commissioned by the German Federal Minister of Health, which recommended in April 2006 that persons with a transfusion history not be excluded from donating blood (18). Our analysis enables different countries to perform their own risk assessment and choose a strategy according to the absolute number of cases observed or expected.
The German CJD Surveillance study was supported by a grant from the German Ministry of Health (Az 325-4471-02/15 to Inga Zerr and H. A. Kretzschmar). Helpful discussions about previous versions of the model took place with the Working Group Overall Blood Supply Strategy with regard to vCJD, Germany (Chairman R. Seitz).
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PRNP Pollution and Natural Resources Program codon codon: see nucleic acid. 129 heterozygous het·er·o·zy·gous
1. Having different alleles at one or more corresponding chromosomal loci.
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1. to invade and produce infection in.
2. to transmit a pathogen or disease to.
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(7.) Zerr I, Brandel JP, Masullo C, Wientjens D, de Silva sil·va also syl·va
n. pl. sil·vas or sil·vae
1. The trees or forests of a region.
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Klaus Dietz, * Gunter Raddatz, * Jonathan Wallis, ([dagger]) Norbert MuIler, ([doubledagger]) Inga Zerr, ([section]) Hans-Peter Duerr, * Hans Lefevre, ([paragraph]) Erhard Seifried, # and Johannes Lower **
* University of Tubingen, Tubingen, Germany; ([dagger]) Freeman Hospital The Freeman Hospital is an 800-bed tertiary referral centre in Newcastle, England.
The hospital is run by the Newcastle upon Tyne NHS Trust and is a teaching hospital for the University of Newcastle upon Tyne medical school. , Newcastle upon Tyne Newcastle upon Tyne, city (1991 pop. 199,064) and metropolitan district, NE England, on the Tyne River. The city is an important shipping and trade center. The famous coal-shipping industry began in the 13th cent. , United Kingdom; ([doubledagger]) University Hospital Essen, Essen, Germany; ([section]) University of Gottingen, Gottingen, Germany; ([paragraph]) DRK Blood Donor Service West, Hagen, Germany; # DRK Blood Donor Service Baden-Wurttemberg, Hessen, Frankfurt aro Main, Germany; and ** Paul-Ehrlich-Institute, Langen, Germany
Dr Dietz is head of the Department of Medical Biometry biometry /bi·om·e·try/ (bi-om´e-tre) the application of statistical methods to biological phenomena.
The statistical analysis of biological data. Also called biometrics. at the University of Tubingen, Germany. His main interest is the application of mathematical models in the field of infectious diseases infectious diseases: see communicable diseases. , in particular malaria malaria, infectious parasitic disease that can be either acute or chronic and is frequently recurrent. Malaria is common in Africa, Central and South America, the Mediterranean countries, Asia, and many of the Pacific islands. and other parasitic diseases A parasitic disease is an infectious disease caused or transmitted by a parasite. Many parasites do not cause disease per se. Parasitic diseases can affect practically all living organisms, from plants to man. The study of parasitic diseases is called by parasitology. .
Address for correspondence: Klaus Dietz, Department of Medical Biometry, University of Tubingen, Westbahnhofstr. 55, Tubingen, Germany; email: email@example.com
Table 1. Summary of input parameters for the model * Parameters Description Source Age-specific U-shaped, with minimum Federal Statistical mortality rates at age 10. Office of Germany Donor recruitment Donors ages 18-67 y. Age-distribution of Maximum recruitment rate first-time donors at DRK at age 18, lower plateau Blood Service and age ages 25-50; further structure in population decrease until age 67. Proportion of 3% of population. DRK Blood Service West donors Duration as Donors ages 18-40 y, Age distribution of active donor mean duration as active active donors at DRK donor 10-14 y, decreases Blood Service West, by linearly to 0. age at first donation Risk of receiving Bimodal, with peaks for Data collected from transfusions newborns and aged 4,867 patients March persons. Multiple 2003, University transfusions possible. Hospital Essen, Germany Transfusion- Increases according to a Follow-up of associated risk sigmoid function, [approximately equal to] for death [approximately equal to] 3,000 transfusion 17% at birth to recipients for [approximately equal to] [approximately equal to] 48% in old age. For 7.5 y in Newcastle, UK those with (4) transfusion-associated risk for death, life expectancy is [approximately equal to] 2.5 years at birth and decreases to [approximately equal to] 0.5 y in old age. Alimentary Constant over an initial Arbitrary assumption infection period of 10 y. Incubation period Gamma distributed with Models fitted to the UK ([dagger]) mean 16 y, SD 4 y. incidence of vCJD (5,6) Sensitivity analysis with mean = 50 y and same coefficient of variation. Donor exclusion Either 0 or 95% of those Arbitrary assumption with transfusion history. * DRK, German Red Cross; SD, standard deviation; vCJD, variant Creutzfeldt-Jakob disease. ([dagger]) Time between infection and death, i.e., duration of infection. Table 2. Joint distribution of transfusion history and blood donation Donated blood, no. observed (no. expected if events are Received independent) blood No Yes Total no. (%) No 401 (404) 104 (101) 505 (82) Yes 93 (90) 19 (22) 112 (18) Total no. (%) 494 (80) 123 (20) 617 (100) Table 3. Cumulative numbers of deaths from variant Creutzfeldt-Jakob disease at the end of the epidemic Total Incubation Donors Infectivity Without With no. period excluded (%) transfusion transfusion cases Short No 0 1,167 390 1,557 No 100 1,167 562 1,729 Yes 100 1,167 547 1,714 Long No 0 503 222 725 No 100 503 446 949 Yes 100 503 396 899