Literature DB >> 8270012

Malaria prevalence amongst Brazilian Indians assessed by a new mathematical model.

M N Burattini1, E Massad, F A Coutinho, R G Baruzzi.   

Abstract

An alternative way to estimate the endemic level of malaria amongst Brazilian indians is proposed. This is achieved by estimating the age-related 'force of infection' of malaria (the effective inoculation rate), applying a mathematical model, described elsewhere, to serological data. In addition we present a way to estimate the Basic Reproductive Rate of malaria in the same area. The results have shown a good degree of accuracy in describing the endemic pattern of malaria in the area, and also indicate some relevant aspects of its age distribution related to the design of control strategies.

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Year:  1993        PMID： 8270012      PMCID： PMC2271267          DOI： 10.1017/s0950268800057253

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN： 0950-2688            Impact factor:   2.451


  11 in total

1.  [FLUORESCENT ANTIBODY TECHNIC USING DRIED AND ELUATED BLOOD. STUDY OF THE PRESERVATION AND SHIPMENT OF SAMPLES AT HIGH TEMPERATURES].

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6.  The epidemiologic interpretation of serologic data in malaria.

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Journal:  Am J Trop Med Hyg       Date:  1972-09       Impact factor: 2.345

7.  Indirect fluorescent-antibody tests for parasitic diseases. V. An evaluation of a thick-smear antigen in the IFA test for malaria antibodies.

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Journal:  Am J Trop Med Hyg       Date:  1969-03       Impact factor: 2.345

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Journal:  Trans R Soc Trop Med Hyg       Date:  1969       Impact factor: 2.184

9.  [Epidemiology of malaria, the 1st world-wide endemia. Various observations].

Authors:  J J Picq
Journal:  Med Trop (Mars)       Date:  1982 Jul-Aug

10.  The dynamics of malaria.

Authors:  G Macdonald; C B Cuellar; C V Foll
Journal:  Bull World Health Organ       Date:  1968       Impact factor: 9.408
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  5 in total

1.  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

2.  A model for predicting the transmission rate of malaria from serological data.

Authors:  M Gatton; W Hogarth; A Saul; P Dayananda
Journal:  J Math Biol       Date:  1996       Impact factor: 2.259

3.  Malaria transmission rates estimated from serological data.

Authors:  M N Burattini; E Massad; F A Coutinho
Journal:  Epidemiol Infect       Date:  1993-12       Impact factor: 2.451

4.  Estimating Plasmodium falciparum transmission rates in low-endemic settings using a combination of community prevalence and health facility data.

Authors:  Joshua Yukich; Olivier Briët; Michael T Bretscher; Adam Bennett; Seblewengel Lemma; Yemane Berhane; Thomas P Eisele; Joseph Keating; Thomas Smith
Journal:  PLoS One       Date:  2012-08-22       Impact factor: 3.240

5.  Spatial heterogeneity of malaria in Indian reserves of southwestern Amazonia, Brazil.

Authors:  Reinaldo Souza-Santos; Maurício V G de Oliveira; Ana Lúcia Escobar; Ricardo Ventura Santos; Carlos E A Coimbra
Journal:  Int J Health Geogr       Date:  2008-11-03       Impact factor: 3.918
  5 in total

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