A Stochastic Model for Competition Between Viral Agents in the Presence of Interference

Elveback, Lila R.; Ackerman, Eugene; Young, Greg; Fox, John P.

doi:10.1093/oxfordjournals.aje.a120828

Cited by 24 publications

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“…Yet ecologists, epidemiologists, and mathematical biologists emphasize the importance of studying the interactions between simultaneously circulating pathogens. For example, Elveback et al at the University of Minnesota designed detailed individual based computer simulation models to study how cocirculating enteric pathogens interfered with each other and spread through a community of households (Elveback et al, 1968(Elveback et al, , 1971. As another example, the potential influence of other STDs on the transmission of HIV has been an important focus of AIDS research since the earliest days of the epidemic.…”

Section: Tuberculosis and Influenzamentioning

confidence: 99%

Social contexts, syndemics, and infectious disease in northern Aboriginal populations

Herring

Sattenspiel

2007

American J Hum Biol

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Until the last half of the 20th century, infectious diseases dominated the health profile of northern North American Aboriginal communities. Research on the 1918 influenza pandemic exemplifies some of the ways in which the social context of European contact and ensuing economic developments affected the nature of infectious disease ecology as well as the frequency and severity of the problem. To understand these impacts it is necessary to consider the web of interactions among multiple pathogens, the biology of the human host, and the social environment in which people lived. At the very least, an understanding of the history of the impact of infectious diseases on northern North American communities requires attention not only to potential interactions among cocirculating pathogens, but their links to key social, historical, and economic factors that exacerbated their adverse effects and contributed to excess mortality.

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Section: Tuberculosis and Influenzamentioning

confidence: 99%

Social contexts, syndemics, and infectious disease in northern Aboriginal populations

Herring

Sattenspiel

2007

American J Hum Biol

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“…Mathematical models have been developed for influenza transmission. A series of studies using stochastic models were carried out between 1964 and 1976 [6][7][8][9] and, recently, there have been several analytical studies on various containment strategies against an influenza pandemic for Southeast Asia [10,11] and for the USA [12]. Using an individual-based model (IBM), Ohkusa and Sugawara [13] recently investigated the spread of influenza in a metropolitan area in Japan as a result of infection occurring on crowded trains.…”

Section: Introductionmentioning

confidence: 99%

Assessment of intervention strategies against a novel influenza epidemic using an individual-based model

Morimoto

Ishikawa

2009

Environ Health Prev Med

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“…Gatewood, and their colleagues (see Elveback et al, 1964Elveback et al, ,1968Elveback et al, ,1971Ewy et al, 1972;Ackerman et al, 1984; see also Fine, 1982, for a review of the models of Elveback and her colleagues).…”

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confidence: 99%

Social networks of disease spread in the lower illinois valley: A simulation approach

McGrath

1988

American J Phys Anthropol

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This study illustrates the use of disease modeling and simulation techniques to the study of the spread of disease within and between social networks. A Reed-Frost type model of disease spread is used to construct a simulation of the spread of tuberculosis within three prehistoric populations of the Lower Illinois River Valley during Middle Woodland, Late Woodland, and Mississippian times. A high and low population size was modeled for each time period. Late Woodland model 2 (low population estimate) is the only model that experienced pathogen extinction with host survival. The rest of the models experienced rapid and severe host population decline. The results of the simulation suggest that a social network size of between 180 and 440 persons is required under the conditions of this model for host-pathogen coexistence (i.e., endemicity) to occur. The severe population decline experienced by these populations suggests that tuberculosis as modeled here could not have existed in these populations. Future refinements of modeling and simulation techniques can provide additional insights into how disease spreads among social contacts.

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A Stochastic Model for Competition Between Viral Agents in the Presence of Interference

Cited by 24 publications

References 0 publications

Social contexts, syndemics, and infectious disease in northern Aboriginal populations

Social contexts, syndemics, and infectious disease in northern Aboriginal populations

Assessment of intervention strategies against a novel influenza epidemic using an individual-based model

Social networks of disease spread in the lower illinois valley: A simulation approach

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