---start---- smith epidemiology 2/4/98 and now for something completely different... there's really something very attractive about a good insult. first person said: do you mind if i smoke? reply: i don't care if you burn i wish i'd said that you will winston, if i were married to you, i'd put poison in your coffee nancy, if i were married to you i'd drink it Clare Booth: age before beauty Dorothy Parker: pearls before swine sandwich to wilks: really, i don't know whether you'll die on the gallows or of the pox. wilks: that depends on whether i embrace your principles or your mistress. Now changing step completely and thinking about infxs dz and their dynamics: we're going to discuss the dynamics of transmission of infxs diseases. prefacing this more mathematically...qualitative aspects of disease transmission. you know that morbidity and mortality vary from disease to disease. why is this? why do m&m vary from infection to infection? why is cholera more severe than rhinitis? an answer to this is being suggested - most of this lecture is taken from some dude's paper about the evolution of virulence, and you might want to read Ewald's papers about this. there are biochemical and genetic mechanisms of virulence. virulence here is describing the degree of sickness, case fatality rate. we know a lot about biochemistry nd genetics, but til recently had no idea how to explain why differences in virulence developed. no one cared. accepted dogma used to be that parasite:host associations (including things like viruses, bacteria, and protozoa) always eventually evolve to a state where a parasite does the host very little harm. if a parasite kills its host, it reduces its own chance of surviving, so an adapted parasite doesn't kill its host. this would mean that very virulent infections are newer than nonvirulent infections. however, over the last few years this has been challenged. a continual decrease in virulence isn't the only evolutionary pathway that makes sense or that can be followed according to the new thinking. two lines of reasoning: first, the kinds of mathematical models we're going to deal with were used to ask what if questions...you ask it questions and it delivers back to you sometimes challenging ideas. you find that there are circumstances where infections with organisms that have very high virulence can maintain themselves well. second, in detailed examination of relationship b/w mode of transmission and degree of virulence, and the balance that is established, we found - assuming virulence is proportional to the number of viruses or bacteria that a host contains, the more shedding and more transmission occurs - so lots of virus equals lots of transmission. a host with a lot of bugs is likely to be very sick, and very infectious. tradeoff b/w making large numbers of bugs and increasing chance of transmission, and having the host survive long enough to contact another susceptible host to transmit it to. so there is this trade off. as a consequence of this idea - selection pressures continue to push pathogen to make more of itself, unless some more important imperative comes into play. pathogens are trying to ensure their own existence, to mke a lot of themselves. that will happen as long as nothing more important gets in the way. that would be the host dying. if the host dies, the whole thing fails. slide: selection for resistance to myxoma virus has occurred, but strains of intermediate virulence were preferentially selected rather than strains of very low virulence. myxoma was introduced into australia in 1951, and had a 99% mortality rate in lagomorphs. it was awful. the rabbits were covered in sores and transmission occurred when bugs mechanically transmitted the virus. at first, it caused a huge decline in rabbit population density. there were fears that it would kill all the rabbits in the country but that didn't happen. the first strains introduced had very very high virulence. under the old dogma, you'd expect it to shift toward very low virulence. but, what happened is that it shifted to an intermediate level of virulence - most of the virus isn't the very low virulence type, it's intermediate level. now, if animal dies really quickly, it's unlikely to be able to spread the disease. also, for disease to last overwinter, you need some rabbits to harbor the virus over the winter. you can't have rabbit die too soon, you can't kill all the rabbits, but you do need the sores to occur, so you have intermediate virulence. this has some clinical consequences esp for human dz. consider modes of transmission and how this affects our thinking... this hypothesis suggests that parasites, viruses, bacteria, whatever, that are transmitted by biting arthropods, should evolve towards higher levels of virulence than if it's directly transmitted say by droplet inhalation. transmission of pathogens by arthropod vector isn't very adversely affected if host gets sick and stops moving around. transmission from host doesn't require host to move around. sick hosts are bitten by more bugs than well hosts, because their defenses fail, they don't move away from bugs or try to brush them off or whatever. so it doesn't matter to pathogen that it makes so much of itself that it makes the host very sick (high morbidity). now, it depends on the vector to move from host to host, so it can't make the vector sick. it wants to make the host kinda sick, but the vector not sick. this holds up. malaria and other arthropod borne infections are often more virulent than airborne infections. sick,immobile hosts make a lot of pathogen which is sucked up by arthropod and easily transmitted. waterborne transmission. consider this in the same light. suppose for example that if there is a severe case of diarrhea, many pathogens are released and they enter water supply. if this mixes with unprotected drinking water, large numbers of people can be infected - so high morbidity doesn't impair transmission. if high morbidity results in release of many pathogens, it may enhance transmission. so likelihood is waterborne infections will be more virulent than directly transmitted infections, too. many diseases have more than one mode of transmission. the proportion of outbreaks of a particular disease that are waterborne rises directly with fatality rate. waterborne diseases have greater virulence than directly transmitted diseases. hospital attendants, nurses, doctors, veterinarians - all are disease vectors. vectors of neonatal diarrhea, puerperal sepsis, etc. if you aren't careful it is easy to transfer diseases between wards, etc. this isn't to say that you will get sick - you could just mechanically carry the infection from one room to another or one animal to another. sick, immobilized people or animals tend to get a lot of attention and handling - so they are more vulnerable to getting a disease vectored by an attendant or handler. many hospital based infections show greater virulence than the same infections outside the hospital. there's no penalty for immobilizing the host in the hospital, b/c people vector infections for you. in fact, immobilizing host creates need for more handling, which is an advantage to the pathogen. hospitals are dangerous places wrt infectious diseases. consequences: in a nutshell. high levels of shedding are associated with high levels of morbidity and mortality. infections relying on animal to animal contact for transmission, eg infected animal must be mobile, then selection pressures are such that there are fewer pathogens/host, less morbidity andmortality, and infected animals are more mobile. this is directly transmitted infections, like a cold. in vector borne diseases, water borne disease, and hospital attendant borne dz, high levels of pathogen production and high morbidity are beneficial to pathogen, transmission doesn't depend on host moving around. 1. virulence responds to selection pressures quickly 2. virulence is often sassociated with large numbers of pathogens and host responses that enhance transmission (coughing, diarrhea) 3. when the likelihood of transmisison is high, selection often favors increased virulence, and vice versa. if you want proof of evolution, look no further than evolution of antibiotic resistance, which takes only months. there was a cholera outbreak in tanzania; the people infected were given tetracycline. in the first month, there was no measurable resistance to the drug. within 5 mos, 75% of people given tetracycline weren't cured. the pathogen got resistant. even nematodes can develop resistance quickly within a couple of years. if you want a rule of thumb for any pathogen - be it fungus, bacterium, nematode, insect - you generally get resistance w/in 50 generations, on average in 5-10 generations. the lesson here is that virulence can respond very rapidly to changed environemental circumstances. this is bad wrt abx resistance, but sometimes is good. if you try to disrupt normal transmission, you have to be careful, b/c you're changing the environment, and you might increase virulence or decrease virulence. you want to decrease it. you should be able to influence it quickly. consider influenza. 10 million soldiers were killed in combat in WWI; 20 million were killed by influenza in that pandemic of 1918, which persisted for 2 years after that. now, the flu kills about 1 person/100. before, it killed about 10/100. why? the soldiers fought in extensive, crowded trenches, with little freedom of movement, for a long time. you were going to spread disease very easily. selection was in direction of high number of pathogens unless something stops it. if you got the flu and early immobilization and death didn't stop you from spreading it, the pathogen would be very very virulent, because there was no reason not to. then the war ended. within about 3 years, that same strain reduced its virulence - because the soldiers were't smushed together anymore, and that highly virulent strain became very difficult to transmit because people density decreased. you can make changes in environment in which disease occurs that change the nature of the disease. HIV/AIDS initially there were just a few cases in big cities. 8 yrs later, it was all over both coasts, and now it's all over the country. it's a terrible disease but - there are two things about it that are interesting. one, why has it evolved to its current level of virulence, and two, how will that virulence change? well, an idea to explain the current virulence is the transfer to humans from monkeys - perhaps was benign in the monkeys, due to long association b/w monkey and virus - and then was virulent in humans since it had just entered humans. evolution hasn't had time to push it toward benign association. but, that was the old thinking. ewald suggests that as a sexually transmitted disease, it evolved to ensure transmission in very low population density areas. infection in man, therefore, probably was sputtering around in rural areas for a very long time. he then suggests that in fact something happened and virulence started to increase rather than decrease. why? if there are frequent enough contacts b/w susceptible individuals, the tradeoff is pushed toward producing more virus. since more virus == more shedding, this enhances transmission. but when contacts are infrequent, there are penalties for high virulence - infecteds die before spreading it. so, long, benign infections provide long opportunity to infect someone else. so aids sputtered along in low density, stable, african villages for a long time. virulence was low. we know HIV was present in africa at least 20 yrs prior to the current pandemic, but the clinical signs/disease associated with HIV were not present. from about 1960 onwards, partly as result of decolonization of africa by european countries and partly for other reasons, there was massive migration from rural to urban africa, which disrupted cultures, and more virulent strains appeared. patterns repeated in other cultures - many very promiscuous men, etc etc. the number of new sexual partners per unit time increased, and virulence increased, because there was no worry about the infected person not contacting a new person to infect. as rate of new partners increases, probability of infection increases. in the 70s, many gay men had very large numbers of sexual partners - so there was no reason for the pathogen not to be very virulent, because chance of spreading was so high. in the heterosexual population, there were many fewer partners per year, and therefore increased virulence was dangerous to the pathogen, because it could kill infected people before they could spread it. when it was realized that HIV was a sexually transmitted virus, all we could do was try to educate people. so they explained that the rate of aquisition of new sexual partners was a major factor, and they suggested that for personal safety and public health reasons, people should reduce their numbers of sexual partners. for a time, the average number of new sexual partners for homosexual men decreased significantly. now, if this continued to the present day, virulence of HIV would decline. why? because opportunity for transmission is lessened. now, virus has to maintain itself in individual host for longer time. so, educational programs will protect individuals, will slow the rate of spread of disease, but also will decrease the virulence of the disease. there are many veterinary diseases where the same kind of thing is true. there may be things that mere education can do that affect the actual character of the disease. ---break--- ecological epidemiology is that branch of the discipline which deals with the dynamics of infections in populations of hosts...we shall begin with an essentially qualitative discussion of epidemic and endemic behavior. this is the most fascinating part of epidemiology. an epidemic is said to occur when the occurence of a disease increases above expected levels. this is the best definition we have. classical swine fever doesn't occur in the US, but it does in Germany. it's a bad thing. It's endemic in much of europe and there are occasional epidemics. normally, 0-5 outbreaks/month occur. but sometimes they have epidemics where up to 25 outbreaks/month occur. they have to control it by depopulation (slaughter), quarantine, extensive monitoring. some guy in the Netherlands, some epidemiologist, was supposed to predict the size of the outbreak of swine fever - then he found out it was being transmitted in semen from an AI unit - so he threw up his hands in despair. bubonic plague - there are about 10 cases a year here, but we worry about it. classical swine fever - doesn't occur here at all, but it could, nd we need to consider it. we almost never have time series records of the prevalence of infection. a change in the proportion of animals at one time that is infected isn't something people record. the best you can do is measure prevalence once. so how are epidemics measured? one way is to look at consequences of dz. trichomoniasis, a protozoal std of cattle - it causes dairy cows to fail to conceive. so the # days open is an index of length of time it takes for cow to conceive. a sudden increase in #days open indicates an epidemic of trichomoniasis. so we never have measures of prevalence; we make do with surrogate measures. often, we don't even have records for individual animals - we just have a number of outbreaks, or number of affected herds - herd prevalence. another example of using consequences of infection...infectious laryngotracheitis - respiratory dz of chickens. you can record mortality - the number of birds killed rises and falls, and when it is high, there is an epidemic. frequently, the epidemic is recorded in terms of the consequences of infection, like mortality. rabies in raccoons in mid-atlantic states - is this an epidemic? well, frequency rose and plateaued. so yes, we're in the midst of an epidemic. it doesn't have to drop off again to be an epidemic. now for the ILT, if 50 birds die in one day the whole flock is killed and sold (in the USA), because otherwise, you lose out big time. so we don't get epidemic curves for this disease in the US, because as soon as the epidemic starts, the whole flock is depopulated. often, the epidemic is recorded in terms of the number of new cases/week. in veterinary medicine, the number of new cases/week is often applied to valuable animals. in Hong Kong in 1992, horses were imported and monitored in preparation for a race - number of cases per day were monitored (not per week). in veterinary literature, the number of new cases per time is called "incidence" very often, but this is a colloquial use of the term, and doesn't really refer to incidence as we've defined it. the WHO actually confers a seal of approval on this use of the word incidence, when you're really referring to a # of new cases per day or week or year, not the instantaneous per capita rate of infection. salmonellosis in horses - new cases per month were reported, chart shows recurrent epidemics. infectious bovine keratoconjunctivitis: chart - plots number infected, new infections, and new cases # of eyes vs weeks this is pinkeye infection in cattle (note to self - diagram drawn inside poultry medicine folder!) pinkeye tends to be worse in the summer, when other irritants and UV radiation abound. pinkeye causes a drop in production. when we consider an epidemic, we think intuitively of a proportion of animals that are affected. on this graph, the best index we have of that is the "number infected" line. PI went to the same herd every week, tested every animal in the herd. that meant that once an animal was infected, they retested it every week,so it could be positive more than once of course, if it remained infected. so the line that reaches the largest number of eyes is the nearest we have to the prevalence of infection curve which we intuitively consider as epidemic curve. the next line is the number of new infections. it drops off way before the number of infections does - because it doesn't include the old infections. the number infected keeps rising though, until there are no more new infections, then it drops. worse still is the number of new cases - those animals actually showing signs of disease - not all the new infections, just the ones we happen to notice! this is much smaller than the new infection line. doesn't really represent what's going on with the herd. but this is the most frequently reported number! so realize, not every infected animal turns into a case. non case animals can still transmit disease. ok. endemic infectious diseases: an endemic infection is one that has persisted for a long time in a given population of hosts. hard to define but this is the best we can do. chart: coccidial infections in dogs at VHUP prevalence of coccidia in dogs vs year. on the whole, the prevalence is between 0.1 and 0.5, so coccidiosis is endemic among dogs in Philadelphia area. but - these are generally referrals. a, they may not be from philadelphia, and b, they are generally preselected as sicker than normal. what do we mean by "a given population of hosts"? among ALL pigs in germany, there is always at least one pig infected with classical swine fever. so CSF is endemic in german pigs. now, there may be some herds which have had swine fever for many years...but there are many farms which have never had classical swine fever or have been free of it for decades. CSF isn't endemic in those populations, is it? no. how long does an infection have to persist before being "endemic"? rabies in woodchucks (marmota monax) in midatlantic states - this is the slide, but he's talking about raccoons. rabies in raccoons has been in US since at least 1940, when epicenter was in Florida. when they talk about rabies in raccoons in FL and GA they call it an endemic. when they refer to it in midatlantic states, they call it epidemic. it came here in 1978 when hunters moved infected raccoons up to virginia. so it's been here for 20 yrs, but it's still not called endemic. does it have to persist at any particular level to be called endemic? yes and no. the woodchucks with rabies have recurrent epidemics - but it's called recurrent epidemic behavior of an endemic. every summer, there are sharp rises in recognized cases. but the pattern repeats every year. plus, hey - recognized cases isn't the same thing as true cases - maybe in the summer, people see more woodchucks. in the winter, people stay inside and don't see the woodchucks. endemic infections often seem to undergo regular oscillations in prevalence - we call this recurrent epidemic behavior. they may be simple seasonal variations, they may be real, or artifacts of observation. very often, viral dzs will oscillate in prevalence on a 2-4 yr time span. rabies in foxes does this. in raccoons it does it to a somewhat lesser extent. simple endemic models tend to show oscillations, but even in a closed population it is often difficult to decide whether the oscillations are explicable in terms of the infection dynamics, or merely the result of continual reintroduction of the virus. dogs w/parvo - closed colony - are recurrent oscillations an inherent characteristic of the virus, or are they discrete, separate epidemics, caused by the attendants introducing the virus from the outside? who knows? it's hard to figure it out. simple epidemic model consists of three compartments. notice there are no births in the simple epidemic model. BY d |X|-------->|Y|-------->|Z| three compartments - X, Y, and Z. The letters name the compartments, and stand for the density of animals in the compartment. Compartment X comprises the susceptible, naive animals, those that are at risk of infection. compartment Y is those that are infected and infectious. compartment Z is those that are recovered and immune. some books call the compartments S, I, and R (susceptible, infectious, recovered/resistant) - often this is called the SIR model. d (delta) is the recovery rate. ** we estimate the numerical value of d by discovering how long the animals remain in compartment Y, and then taking the reciprocal of it. If an animal is infectious for 10 days, d = 1/10. ** this is important. BY = rate of infection, aka incidence. B=beta, btw. B = transmission constant. Y is the density of animals in compartment Y. so infection rate changes based on number of infectious animals. how do we measure this? the reciprocal of the average time spent in the preceding box. BY is the reciprocal of average time to disease onset. if it takes 3 weeks to get infected, then BY = 1/3, or 1/21, depending if you're using weeks or days. Now, reciprocal of time to disease onset we already know is incidence. so BY = i, true incidence. this constantly changes as Y changes. initially it will rise and then it will fall. (in an epidemic). in simple epidemic model we assume there are no deaths. we assume it happens so quickly that we can ignore births and deaths. this model differs from endemic model because there are no births. the density of susceptibles can't change. we aren't adding any new animals into X. X either stays the same (no epidemic) or gets smaller, as it flows into Y and then Z. simple endemic model - the same, except you have mu (u) entering and exiting X, and exiting Y and Z. u = constant death and birth rates. birth rate equals death rate. therefore X+Y+Z doesn't change. the simple endemic model also has three compartments but now we add births to ensure that there are always new susceptibles, and deaths to ensure that population density stays constant. in this model we're assuming that animals are being born susceptible, not diseased or resistant. it's the new pool of susceptible animals that allows disease to persist. ----end----