Book contents
- Frontmatter
- Contents
- Introduction
- Participants
- Non-Participant Contributors
- Part 1 Transmissible diseases with long development times and vaccination strategies
- Part 2 Dynamics of immunity (development of disease within individuals)
- Evolutionary dynamics of HIV infections
- Statistical models for analysis of longitudinal, CD4 data
- Some mathematical and statistical issues in assessing the evidence for acquired immunity to schistosomiasis
- Virulence and transmissibility in P. falciparum malaria
- Invited Discussion
- Invited Discussion
- Invited Discussion
- Lifespan of human T lymphocytes
- Diversity and virulence thresholds in AIDS
- Statistical analysis of AZT effect on CD4 cell counts in HIV disease
- Modeling progression of HIV infection: staging and the Chicago MACS cohort
- The interpretation of immunoepidemiological data for helminth infections
- The distribution of malaria parasites in the mosquito vector: consequences for assessing infection intensity in the field
- When susceptible and infective human hosts are not equally attractive to mosquitoes: a generalisation of the Ross malaria model
- The dynamics of blood stage malaria: modelling strain specific and strain transcending immunity
- Part 3 Population heterogeneity (mixing)
- Part 4 Consequences of treatment interventions
- Part 5 Prediction
Some mathematical and statistical issues in assessing the evidence for acquired immunity to schistosomiasis
Published online by Cambridge University Press: 04 August 2010
- Frontmatter
- Contents
- Introduction
- Participants
- Non-Participant Contributors
- Part 1 Transmissible diseases with long development times and vaccination strategies
- Part 2 Dynamics of immunity (development of disease within individuals)
- Evolutionary dynamics of HIV infections
- Statistical models for analysis of longitudinal, CD4 data
- Some mathematical and statistical issues in assessing the evidence for acquired immunity to schistosomiasis
- Virulence and transmissibility in P. falciparum malaria
- Invited Discussion
- Invited Discussion
- Invited Discussion
- Lifespan of human T lymphocytes
- Diversity and virulence thresholds in AIDS
- Statistical analysis of AZT effect on CD4 cell counts in HIV disease
- Modeling progression of HIV infection: staging and the Chicago MACS cohort
- The interpretation of immunoepidemiological data for helminth infections
- The distribution of malaria parasites in the mosquito vector: consequences for assessing infection intensity in the field
- When susceptible and infective human hosts are not equally attractive to mosquitoes: a generalisation of the Ross malaria model
- The dynamics of blood stage malaria: modelling strain specific and strain transcending immunity
- Part 3 Population heterogeneity (mixing)
- Part 4 Consequences of treatment interventions
- Part 5 Prediction
Summary
Introduction
The problem of whether humans mount a protective immune response to schistosomiasis is both of basic, biological interest and important in the context of disease control. The immune response to this and other large parasites differs from that of microparasites, such as viruses and bacteria, and involves distinct branches of the immune system associated with IgE and eosinophils. The possibility of a protective immune response has consequences not just for vaccine development but also for the effectiveness of control programmes in general. Immune responses are altered by chemotherapy itself and may be involved in the schistosomicidal action of praziquantel, the main chemotherapeutic drug. The problem of demonstrating a protective response is closely related to that of quantifying the response, which would be essential for vaccine development.
In this paper we consider some mathematical, and especially statistical, problems that arise when assessing the evidence for immunity in man, illustrating these with data from our own studies in Kenya. We first briefly describe our studies in Kenya and outline the difficulty of interpreting simple age-intensity curves. The main part of the paper is divided into two sections, the first discussing two more sophisticated approaches to analysis of crosssectional data and the second reviewing the analysis of treatment-reinfection studies.
Schistosomiasis studies in Kenya
For more than a decade studies have been undertaken on Schistosoma mansoni infection in the Machakos District of Kenya, as a collaboration between the Kenyan Medical Research Institute (KEMRI), the Division of Vector Borne Diseases (DVBD) of the Kenyan Ministry of Health and the University of Cambridge.
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- Models for Infectious Human DiseasesTheir Structure and Relation to Data, pp. 139 - 159Publisher: Cambridge University PressPrint publication year: 1996
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