FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2036343733> ?p ?o ?g. }

• W2036343733 abstract "Quantifying heterogeneity in malaria transmission is a prerequisite for accurate predictive mathematical models, but the variance in field measurements of exposure overestimates true micro-heterogeneity because it is inflated to an uncertain extent by sampling variation. Descriptions of field data also suggest that the rate of Plasmodium falciparum infection is not proportional to the intensity of challenge by infectious vectors. This appears to violate the principle of mass action that is implied by malaria biology. Micro-heterogeneity may be the reason for this anomaly. It is proposed that the level of micro-heterogeneity can be estimated from statistical models that estimate the amount of variation in transmission most compatible with a mass-action model for the relationship of infection to exposure.The relationship between the entomological inoculation rate (EIR) for falciparum malaria and infection risk was reanalysed using published data for cohorts of children in Saradidi (western Kenya). Infection risk was treated as binomially distributed, and measurement-error (Poisson and negative binomial) models were considered for the EIR. Models were fitted using Bayesian Markov chain Monte Carlo algorithms and model fit compared for models that assume either mass-action kinetics, facilitation, competition or saturation of the infection process with increasing EIR.The proportion of inocula that resulted in infection in Saradidi was inversely related to the measured intensity of challenge. Models of facilitation showed, therefore, a poor fit to the data. When sampling error in the EIR was neglected, either competition or saturation needed to be incorporated in the model in order to give a good fit. Negative binomial models for the error in exposure could achieve a comparable fit while incorporating the more parsimonious and biologically plausible mass action assumption. Models that assume negative binomial micro-heterogeneity predict lower incidence of infection at a given average exposure than do those assuming exposure to be uniform. The negative binomial model moreover provides an estimate of the variance of the within-cohort distribution of the EIR and hence of within cohort heterogeneity in exposure.Apparent deviations from mass action kinetics in parasite transmission can arise from spatial and temporal heterogeneity in the inoculation rate, and from imprecision in its measurement. For parasites like P. falciparum, where there is no plausible biological rationale for deviations from mass action, this provides a strategy for estimating true levels of heterogeneity, since if mass-action is assumed, the within-population variance in exposure becomes identifiable in cohort studies relating infection to transmission intensity. Statistical analyses relating infection to exposure thus provide a valid general approach for estimating heterogeneity in transmission but only when they incorporate mass action kinetics and shrinkage estimates of exposure. Such analyses make it possible to include realistic levels of heterogeneity in dynamic models that predict the impact of control measures on transmission intensity." @default.
• W2036343733 created "2016-06-24" @default.
• W2036343733 creator A5076225010 @default.
• W2036343733 date "2008-01-11" @default.
• W2036343733 modified "2023-10-14" @default.
• W2036343733 title "Estimation of heterogeneity in malaria transmission by stochastic modelling of apparent deviations from mass action kinetics" @default.
• W2036343733 cites W1225638763 @default.
• W2036343733 cites W1650778837 @default.
• W2036343733 cites W1791909250 @default.
• W2036343733 cites W1799419298 @default.
• W2036343733 cites W1985149691 @default.
• W2036343733 cites W1991892330 @default.
• W2036343733 cites W1999449964 @default.
• W2036343733 cites W2036121750 @default.
• W2036343733 cites W2057765075 @default.
• W2036343733 cites W2071218667 @default.
• W2036343733 cites W2092507703 @default.
• W2036343733 cites W2100601116 @default.
• W2036343733 cites W2108283897 @default.
• W2036343733 cites W2118726788 @default.
• W2036343733 cites W2135446200 @default.
• W2036343733 cites W2140775281 @default.
• W2036343733 cites W2154871870 @default.
• W2036343733 cites W2184613466 @default.
• W2036343733 cites W2302162838 @default.
• W2036343733 cites W2395533360 @default.
• W2036343733 doi "https://doi.org/10.1186/1475-2875-7-12" @default.
• W2036343733 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2254636" @default.
• W2036343733 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18190717" @default.
• W2036343733 hasPublicationYear "2008" @default.
• W2036343733 type Work @default.
• W2036343733 sameAs 2036343733 @default.
• W2036343733 citedByCount "23" @default.
• W2036343733 countsByYear W20363437332012 @default.
• W2036343733 countsByYear W20363437332015 @default.
• W2036343733 countsByYear W20363437332016 @default.
• W2036343733 countsByYear W20363437332017 @default.
• W2036343733 countsByYear W20363437332018 @default.
• W2036343733 countsByYear W20363437332019 @default.
• W2036343733 countsByYear W20363437332020 @default.
• W2036343733 countsByYear W20363437332021 @default.
• W2036343733 countsByYear W20363437332022 @default.
• W2036343733 crossrefType "journal-article" @default.
• W2036343733 hasAuthorship W2036343733A5076225010 @default.
• W2036343733 hasBestOaLocation W20363437331 @default.
• W2036343733 hasConcept C100906024 @default.
• W2036343733 hasConcept C105795698 @default.
• W2036343733 hasConcept C107673813 @default.
• W2036343733 hasConcept C111350023 @default.
• W2036343733 hasConcept C149782125 @default.
• W2036343733 hasConcept C203014093 @default.
• W2036343733 hasConcept C207201462 @default.
• W2036343733 hasConcept C2778048844 @default.
• W2036343733 hasConcept C33923547 @default.
• W2036343733 hasConcept C41008148 @default.
• W2036343733 hasConcept C86803240 @default.
• W2036343733 hasConceptScore W2036343733C100906024 @default.
• W2036343733 hasConceptScore W2036343733C105795698 @default.
• W2036343733 hasConceptScore W2036343733C107673813 @default.
• W2036343733 hasConceptScore W2036343733C111350023 @default.
• W2036343733 hasConceptScore W2036343733C149782125 @default.
• W2036343733 hasConceptScore W2036343733C203014093 @default.
• W2036343733 hasConceptScore W2036343733C207201462 @default.
• W2036343733 hasConceptScore W2036343733C2778048844 @default.
• W2036343733 hasConceptScore W2036343733C33923547 @default.
• W2036343733 hasConceptScore W2036343733C41008148 @default.
• W2036343733 hasConceptScore W2036343733C86803240 @default.
• W2036343733 hasIssue "1" @default.
• W2036343733 hasLocation W20363437331 @default.
• W2036343733 hasLocation W20363437332 @default.
• W2036343733 hasLocation W20363437333 @default.
• W2036343733 hasLocation W20363437334 @default.
• W2036343733 hasOpenAccess W2036343733 @default.
• W2036343733 hasPrimaryLocation W20363437331 @default.
• W2036343733 hasRelatedWork W1543929990 @default.
• W2036343733 hasRelatedWork W2112514181 @default.
• W2036343733 hasRelatedWork W2133784741 @default.
• W2036343733 hasRelatedWork W2158495165 @default.
• W2036343733 hasRelatedWork W2292189132 @default.
• W2036343733 hasRelatedWork W2525159578 @default.
• W2036343733 hasRelatedWork W2739886334 @default.
• W2036343733 hasRelatedWork W2938963934 @default.
• W2036343733 hasRelatedWork W3122529109 @default.
• W2036343733 hasRelatedWork W3125112129 @default.
• W2036343733 hasVolume "7" @default.
• W2036343733 isParatext "false" @default.
• W2036343733 isRetracted "false" @default.
• W2036343733 magId "2036343733" @default.
• W2036343733 workType "article" @default.