Literature DB >> 6333403

The force of measles infection in East Africa.

J Remme, M P Mandara, J Leeuwenburg.   

Abstract

Catalytic models were applied to age-specific incidence data from two East African studies in order to study the force of measles infection in relation to age. The results are compared with the pattern observed in England and Wales. In East Africa the force of measles infection appears to be independent of age, probably as a result of sociocultural factors. Consequently the incidence of measles is highest in the second half of the first year of life and decreases with increasing age. Major vaccination efforts will raise the average age of measles attack, but the peak incidence will remain in the first year of life. This complicates the decision on the optimal age for vaccination and the need for incidence surveillance is stressed. The simple catalytic model, which is based on the assumption of an age-independent force of infection may play an important role in measles surveillance. With this model simple and economic surveillance studies could be designed which use cross-sectional data only.

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Year:  1984        PMID: 6333403     DOI: 10.1093/ije/13.3.332

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  11 in total

1.  Time is of the essence: exploring a measles outbreak response vaccination in Niamey, Niger.

Authors:  R F Grais; A J K Conlan; M J Ferrari; A Djibo; A Le Menach; O N Bjørnstad; B T Grenfell
Journal:  J R Soc Interface       Date:  2008-01-06       Impact factor: 4.118

Review 2.  Two-dose measles vaccination schedules.

Authors:  S R Rosenthal; C J Clements
Journal:  Bull World Health Organ       Date:  1993       Impact factor: 9.408

3.  Investigation of the effectiveness of measles vaccination in children in Kenya.

Authors:  T M Bell; P M Tukei; G R Ademba; F M Mbugua; G W Gathara; J M Magana; P Kinyanjui; J Muli; D T Hazlett; J E Alwar
Journal:  J Hyg (Lond)       Date:  1985-12

4.  A review of data needed to parameterize a dynamic model of measles in developing countries.

Authors:  Emily K Szusz; Louis P Garrison; Chris T Bauch
Journal:  BMC Res Notes       Date:  2010-03-16

5.  Episodic outbreaks bias estimates of age-specific force of infection: a corrected method using measles as an example.

Authors:  M J Ferrari; A Djibo; R F Grais; B T Grenfell; O N Bjørnstad
Journal:  Epidemiol Infect       Date:  2009-06-19       Impact factor: 2.451

6.  A force-of-infection model for onchocerciasis and its applications in the epidemiological evaluation of the Onchocerciasis Control Programme in the Volta River basin area.

Authors:  J Remme; O Ba; K Y Dadzie; M Karam
Journal:  Bull World Health Organ       Date:  1986       Impact factor: 9.408

7.  A mathematical model of seropositivity to malaria antigen, allowing seropositivity to be prolonged by exposure.

Authors:  Samuel Bosomprah
Journal:  Malar J       Date:  2014-01-08       Impact factor: 2.979

8.  Modelling the force of infection for hepatitis A in an urban population-based survey: a comparison of transmission patterns in Brazilian macro-regions.

Authors:  Ricardo Arraes de Alencar Ximenes; Celina Maria Turchi Martelli; Marcos Amaku; Ana Marli C Sartori; Patricia Coelho de Soárez; Hillegonda Maria Dutilh Novaes; Leila Maria Moreira Beltrão Pereira; Regina Célia Moreira; Gerusa Maria Figueiredo; Raymundo Soares de Azevedo
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

9.  Varicella zoster virus transmission dynamics in Vojvodina, Serbia.

Authors:  Snežana Medić; Michalis Katsilieris; Zagorka Lozanov-Crvenković; Constantinos I Siettos; Vladimir Petrović; Vesna Milošević; Snežana Brkić; Nick Andrews; Milan Ubavić; Cleo Anastassopoulou
Journal:  PLoS One       Date:  2018-03-05       Impact factor: 3.240

10.  A 'post-honeymoon' measles epidemic in Burundi: mathematical model-based analysis and implications for vaccination timing.

Authors:  Katelyn C Corey; Andrew Noymer
Journal:  PeerJ       Date:  2016-09-15       Impact factor: 2.984

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