Literature DB >> 15331822

Relationships between the outcome of Plasmodium falciparum infection and the intensity of transmission in Africa.

T Smith1, G Killeen, C Lengeler, M Tanner.   

Abstract

Establishing the relationship between transmission intensity and health outcomes is crucial for the planning of long-term malaria control programs. Unfortunately this is fraught with methodologic difficulties. In this report, we address some of these problems by considering some important parameters that have previously been ignored. One important consideration is that the incidence of infection for Plasmodium falciparum malaria is much lower than entomologic inoculation rates (EIRs), especially at higher transmission levels. Moreover, biting rates of malaria vectors per host depend on his or her biomass and thus age. We propose an algorithm for estimating human infection rates from the EIR with allowance for these two factors. We then re-analyzed 1) data on EIR and age-specific incidence of clinical malaria in two villages in Senegal and 2) a survey of infant and child mortality rates across Africa. In each case, we review analyses of incidence in relation to the EIR and carry out a new analysis of morbidity and mortality rates in relation to the estimated incidence of infection (h). Reduction in malaria transmission may result in a shift of acute malaria attacks to older ages, and thus have little impact on life-time risk of clinical attacks. However, our analysis of the Senegalese data indicates that the peak incidence rate of disease relative to infection rates is in the youngest age groups in both the villages of Dielmo (EIR = 200 infectious bites per year) and Ndiop (EIR = 20). This suggests that simple models of acquired clinical immunity can explain age-incidence profiles better when incidence is expressed in relation to h, than when expressed in relation to the EIR. Relationships of malaria transmission intensity (in endemic areas) with overall mortality are very different from those with acute morbidity. Infant mortality rates (IMRs) decrease substantially when the EIR is reduced, probably largely because of prevention of indirect mortality. However, we were are not yet able to draw strong conclusions about the shape of relationships between the IMR and h because many of the available data points have similar values of h. The effects of transmission reduction on mortality rates in older age groups are also uncertain. However, it is clear that reduction of exposure during infancy is not reflected in increased mortality at older ages. Copyright 2004 The American Society of Tropical Medicine and Hygiene

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Year:  2004        PMID: 15331822

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  44 in total

1.  Human antibody response to Anopheles gambiae saliva: an immuno-epidemiological biomarker to evaluate the efficacy of insecticide-treated nets in malaria vector control.

Authors:  Papa M Drame; Anne Poinsignon; Patrick Besnard; Jacques Le Mire; Maria A Dos-Santos; Cheikh S Sow; Sylvie Cornelie; Vincent Foumane; Jean-Claude Toto; Mbacké Sembene; Denis Boulanger; François Simondon; Filomeno Fortes; Pierre Carnevale; Franck Remoue
Journal:  Am J Trop Med Hyg       Date:  2010-07       Impact factor: 2.345

2.  Evaluation of Malaria Urban Risk Using an Immuno-Epidemiological Biomarker of Human Exposure to Anopheles Bites.

Authors:  Dipomin F Traoré; André B Sagna; Akré M Adja; Dounin D Zoh; Kouassi N Lingué; Issa Coulibaly; Bertin N'Cho Tchiekoi; Serge B Assi; Anne Poinsignon; Mamadou Dagnogo; Franck Remoue
Journal:  Am J Trop Med Hyg       Date:  2018-03-01       Impact factor: 2.345

Review 3.  Measuring changes in Plasmodium falciparum transmission: precision, accuracy and costs of metrics.

Authors:  Lucy S Tusting; Teun Bousema; David L Smith; Chris Drakeley
Journal:  Adv Parasitol       Date:  2014       Impact factor: 3.870

4.  Determinants of MDA impact and designing MDAs towards malaria elimination.

Authors:  Bo Gao; Sompob Saralamba; Yoel Lubell; Lisa J White; Arjen M Dondorp; Ricardo Aguas
Journal:  Elife       Date:  2020-04-15       Impact factor: 8.140

Review 5.  Age-patterns of malaria vary with severity, transmission intensity and seasonality in sub-Saharan Africa: a systematic review and pooled analysis.

Authors:  Ilona Carneiro; Arantxa Roca-Feltrer; Jamie T Griffin; Lucy Smith; Marcel Tanner; Joanna Armstrong Schellenberg; Brian Greenwood; David Schellenberg
Journal:  PLoS One       Date:  2010-02-01       Impact factor: 3.240

6.  Estimating the global clinical burden of Plasmodium falciparum malaria in 2007.

Authors:  Simon I Hay; Emelda A Okiro; Peter W Gething; Anand P Patil; Andrew J Tatem; Carlos A Guerra; Robert W Snow
Journal:  PLoS Med       Date:  2010-06-15       Impact factor: 11.069

Review 7.  Mobile phones and malaria: modeling human and parasite travel.

Authors:  Caroline O Buckee; Amy Wesolowski; Nathan N Eagle; Elsa Hansen; Robert W Snow
Journal:  Travel Med Infect Dis       Date:  2013-03-09       Impact factor: 6.211

8.  Relationship between exposure, clinical malaria, and age in an area of changing transmission intensity.

Authors:  Wendy P O'Meara; Tabitha W Mwangi; Thomas N Williams; F Ellis McKenzie; Robert W Snow; Kevin Marsh
Journal:  Am J Trop Med Hyg       Date:  2008-08       Impact factor: 2.345

9.  The impact of IPTi and IPTc interventions on malaria clinical burden - in silico perspectives.

Authors:  Ricardo Aguas; José M L Lourenço; M Gabriela M Gomes; Lisa J White
Journal:  PLoS One       Date:  2009-08-13       Impact factor: 3.240

Review 10.  The multiplicity of malaria transmission: a review of entomological inoculation rate measurements and methods across sub-Saharan Africa.

Authors:  Louise A Kelly-Hope; F Ellis McKenzie
Journal:  Malar J       Date:  2009-01-23       Impact factor: 2.979

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