Exploring cross-protection between influenza strains by an epidemiological model

Lavenu, A.

doi:10.1016/s0168-1702(04)00120-0

Cited by 9 publications

(9 citation statements)

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“…1). Note that the years dominated by influenza B fall effortlessly within the model dynamics, providing possible population-level observational support for the notion of broader cross-reactivity of the immune response to influenza, as previously reported (23)(24)(25).…”

Section: Resultssupporting

confidence: 80%

Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers

Axelsen¹,

Yaari

Grenfell

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

105

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Human influenza occurs annually in most temperate climatic zones of the world, with epidemics peaking in the cold winter months. Considerable debate surrounds the relative role of epidemic dynamics, viral evolution, and climatic drivers in driving year-toyear variability of outbreaks. The ultimate test of understanding is prediction; however, existing influenza models rarely forecast beyond a single year at best. Here, we use a simple epidemiological model to reveal multiannual predictability based on high-quality influenza surveillance data for Israel; the model fit is corroborated by simple metapopulation comparisons within Israel. Successful forecasts are driven by temperature, humidity, antigenic drift, and immunity loss. Essentially, influenza dynamics are a balance between large perturbations following significant antigenic jumps, interspersed with nonlinear epidemic dynamics tuned by climatic forcing.

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Section: Resultssupporting

confidence: 80%

Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers

Axelsen¹,

Yaari

Grenfell

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

105

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show abstract

“…For example, children with pre-existing immunity to H1N1 do not demonstrate any resistance to infection with a live attenuated H3N2 influenza vaccine or exhibit reduced viral shedding (10). In contrast, epidemiological data suggests that there is cross-protection between strains of influenza that are circulating at the same time (11,12). Similarly, data from the Cleveland Family Study show that adults recently recovered from H1N1 infection were much less susceptible to infection with H2N2 virus than children in the same households who were not previously exposed to H1N1 (13).…”

Section: B Cells Promote Resistance To Heterosubtypic Strains Ofmentioning

confidence: 99%

B Cells Promote Resistance to Heterosubtypic Strains of Influenza via Multiple Mechanisms

Rangel-Moreno

Carragher

Misra

et al. 2008

The Journal of Immunology

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Immunity to heterosubtypic strains of influenza is thought to be mediated primarily by memory T cells, which recognize epitopes in conserved proteins. However, the involvement of B cells in this process is controversial. We show in this study that influenza-specific memory T cells are insufficient to protect mice against a lethal challenge with a virulent strain of influenza in the absence of B cells. B cells contribute to protection in multiple ways. First, although non-neutralizing Abs by themselves do not provide any protection to challenge infection, they do reduce weight loss, lower viral titers, and promote recovery of mice challenged with a virulent heterosubtypic virus in the presence of memory T cells. Non-neutralizing Abs also facilitate the expansion of responding memory CD8 T cells. Furthermore, in cooperation with memory T cells, naive B cells also promote recovery from infection with a virulent heterosubtypic virus by generating new neutralizing Abs. These data demonstrate that B cells use multiple mechanisms to promote resistance to heterosubtypic strains of influenza and suggest that vaccines that elicit both memory T cells and Abs to conserved epitopes of influenza may be an effective defense against a wide range of influenza serotypes.

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“…Using statistical likelihoods, we compare two hypothetical mechanisms of interaction between diseases: cross-immunity (immune-mediated interaction) (37)(38)(39)(40)(41)(42) and convalescence (ecological interaction) (43,44). Accurate assessment of the nature of interaction among these viruses has important potential public health consequences for prediction of outbreaks and control of disease by targeting and timing of control strategies.…”

mentioning

confidence: 99%

Cross-immunity between strains explains the dynamical pattern of paramyxoviruses

Bhattacharyya

Gesteland

Korgenski

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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Viral respiratory tract diseases pose serious public health problems. Our ability to predict and thus, be able to prepare for outbreaks is strained by the complex factors driving the prevalence and severity of these diseases. The abundance of diseases and transmission dynamics of strains are not only affected by external factors, such as weather, but also driven by interactions among viruses mediated by human behavior and immunity. To untangle the complex out-ofphase annual and biennial pattern of three common paramyxoviruses, Respiratory Syncytial Virus (RSV), Human Parainfluenza Virus (HPIV), and Human Metapneumovirus (hMPV), we adopt a theoretical approach that integrates ecological and immunological mechanisms of disease interactions. By estimating parameters from multiyear time series of laboratory-confirmed cases from the intermountain west region of the United States and using statistical inference, we show that models of immune-mediated interactions better explain the data than those based on ecological competition by convalescence. The strength of cross-protective immunity among viruses is correlated with their genetic distance in the phylogenetic tree of the paramyxovirus family.paramyxoviruses | respiratory syncytial viruses | human parainfluenza | pathogen interactions | cross-immunity

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Exploring cross-protection between influenza strains by an epidemiological model

Cited by 9 publications

References 0 publications

Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers

Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers

B Cells Promote Resistance to Heterosubtypic Strains of Influenza via Multiple Mechanisms

Cross-immunity between strains explains the dynamical pattern of paramyxoviruses

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