Literature DB >> 4613512

A malaria model tested in the African savannah.

K Dietz, L Molineaux, A Thomas.   

Abstract

A new mathematical model of malaria has been developed for comparing the effects of alternative control measures. It describes both the temporal changes of the P. falciparum infection rate and the immunity level of the population as a function of the dynamics and characteristics of the vector populations, which are summarized in the concept of vectorial capacity. A critical vectorial capacity is specified, below which malaria cannot maintain itself at an endemic level. The model has been tested with epidemiological data collected in a WHO research project in the African Savannah, Kano State, Northern Nigeria, since October 1970. The estimates of the model parameters were obtained by minimizing the chi(2) function that measures the discrepancy between the observed and expected age-specific parasite rates in the two villages with the highest and the lowest vectorial capacity, respectively, at five surveys during one year of baseline data collection and between the observed and expected infant inoculation rates, in the main transmission seasons, in the same two villages. The model describes three aspects of immunity: loss of infectivity, loss of detectability, and increase of recovery rate. It is assumed that loss of infectivity precedes loss of detectability and increase of recovery rate. Superinfections are slowing down the recovery for high inoculation rates but do not reduce them to zero. They do not increase infectivity.

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Year:  1974        PMID: 4613512      PMCID: PMC2481186     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  1 in total

1.  The analysis of infection rates in diseases in which superinfection occurs.

Authors:  G MACDONALD
Journal:  Trop Dis Bull       Date:  1950-10
  1 in total
  79 in total

1.  Ross's a priori pathometry - a perspective.

Authors:  P E Fine
Journal:  Proc R Soc Med       Date:  1975-09

2.  Superinfection and the evolution of resistance to antimalarial drugs.

Authors:  Eili Y Klein; David L Smith; Ramanan Laxminarayan; Simon Levin
Journal:  Proc Biol Sci       Date:  2012-07-11       Impact factor: 5.349

3.  Source reduction of mosquito larval habitats has unexpected consequences on malaria transmission.

Authors:  Weidong Gu; James L Regens; John C Beier; Robert J Novak
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-03       Impact factor: 11.205

4.  Discrete-Event Simulation Models of Plasmodium falciparum Malaria.

Authors:  F Ellis McKenzie; Roger C Wong; William H Bossert
Journal:  Simulation       Date:  1998       Impact factor: 1.377

5.  The entomological inoculation rate and Plasmodium falciparum infection in African children.

Authors:  D L Smith; J Dushoff; R W Snow; S I Hay
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

6.  A metapopulation model for malaria with transmission-blocking partial immunity in hosts.

Authors:  Julien Arino; Arnaud Ducrot; Pascal Zongo
Journal:  J Math Biol       Date:  2011-03-26       Impact factor: 2.259

7.  An environmental data set for vector-borne disease modeling and epidemiology.

Authors:  Guillaume Chabot-Couture; Karima Nigmatulina; Philip Eckhoff
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

8.  Critical transitions in malaria transmission models are consistently generated by superinfection.

Authors:  David Alonso; Andy Dobson; Mercedes Pascual
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-24       Impact factor: 6.237

9.  Anopheles mortality is both age- and Plasmodium-density dependent: implications for malaria transmission.

Authors:  Emma J Dawes; Thomas S Churcher; Shijie Zhuang; Robert E Sinden; María-Gloria Basáñez
Journal:  Malar J       Date:  2009-10-12       Impact factor: 2.979

10.  Predicting changing malaria risk after expanded insecticide-treated net coverage in Africa.

Authors:  David L Smith; Simon I Hay; Abdisalan M Noor; Robert W Snow
Journal:  Trends Parasitol       Date:  2009-09-09
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