Literature DB >> 21078642

Modelling the dynamics of dengue real epidemics.

S T R Pinho1, C P Ferreira, L Esteva, F R Barreto, V C Morato e Silva, M G L Teixeira.   

Abstract

In this work, we use a mathematical model for dengue transmission with the aim of analysing and comparing two dengue epidemics that occurred in Salvador, Brazil, in 1995-1996 and 2002. Using real data, we obtain the force of infection, Λ, and the basic reproductive number, R(0), for both epidemics. We also obtain the time evolution of the effective reproduction number, R(t), which results in a very suitable measure to compare the patterns of both epidemics. Based on the analysis of the behaviour of R(0) and R(t) in relation to the adult mosquito control parameter of the model, we show that the control applied only to the adult stage of the mosquito population is not sufficient to stop dengue transmission, emphasizing the importance of applying the control to the aquatic phase of the mosquito.

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Year:  2010        PMID: 21078642     DOI: 10.1098/rsta.2010.0278

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  31 in total

1.  Estimating dengue type reproduction numbers for two provinces of Sri Lanka during the period 2013-14.

Authors:  Tridip Sardar; Sourav Kumar Sasmal; Joydev Chattopadhyay
Journal:  Virulence       Date:  2015-12-08       Impact factor: 5.882

Review 2.  Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission.

Authors:  Paul E Parham; Joanna Waldock; George K Christophides; Deborah Hemming; Folashade Agusto; Katherine J Evans; Nina Fefferman; Holly Gaff; Abba Gumel; Shannon LaDeau; Suzanne Lenhart; Ronald E Mickens; Elena N Naumova; Richard S Ostfeld; Paul D Ready; Matthew B Thomas; Jorge Velasco-Hernandez; Edwin Michael
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-05       Impact factor: 6.237

3.  Zika in Rio de Janeiro: Assessment of basic reproduction number and comparison with dengue outbreaks.

Authors:  D A M Villela; L S Bastos; L M DE Carvalho; O G Cruz; M F C Gomes; B Durovni; M C Lemos; V Saraceni; F C Coelho; C T Codeço
Journal:  Epidemiol Infect       Date:  2017-02-27       Impact factor: 4.434

4.  Novel, meso-substituted cationic porphyrin molecule for photo-mediated larval control of the dengue vector Aedes aegypti.

Authors:  Leonardo Lucantoni; Michela Magaraggia; Giulio Lupidi; Robert Kossivi Ouedraogo; Olimpia Coppellotti; Fulvio Esposito; Clara Fabris; Giulio Jori; Annette Habluetzel
Journal:  PLoS Negl Trop Dis       Date:  2011-12-20

5.  Assessing dengue infection risk in the southern region of Taiwan: implications for control.

Authors:  C-M Liao; T-L Huang; Y-H Cheng; W-Y Chen; N-H Hsieh; S-C Chen; C-P Chio
Journal:  Epidemiol Infect       Date:  2014-07-10       Impact factor: 4.434

6.  Interpretations and pitfalls in modelling vector-transmitted infections.

Authors:  M Amaku; F Azevedo; M N Burattini; F A B Coutinho; L F Lopez; E Massad
Journal:  Epidemiol Infect       Date:  2014-11-24       Impact factor: 4.434

Review 7.  Dynamic epidemiological models for dengue transmission: a systematic review of structural approaches.

Authors:  Mathieu Andraud; Niel Hens; Christiaan Marais; Philippe Beutels
Journal:  PLoS One       Date:  2012-11-06       Impact factor: 3.240

8.  Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection.

Authors:  Sapto W Indratno; Nuning Nuraini; Asep K Supriatna; Edy Soewono
Journal:  Comput Math Methods Med       Date:  2015-08-25       Impact factor: 2.238

9.  Estimated effects of projected climate change on the basic reproductive number of the Lyme disease vector Ixodes scapularis.

Authors:  Nicholas H Ogden; Milka Radojevic; Xiaotian Wu; Venkata R Duvvuri; Patrick A Leighton; Jianhong Wu
Journal:  Environ Health Perspect       Date:  2014-03-14       Impact factor: 9.031

10.  Global dynamics and control strategies of an epidemic model having logistic growth, non-monotone incidence with the impact of limited hospital beds.

Authors:  Pritam Saha; Uttam Ghosh
Journal:  Nonlinear Dyn       Date:  2021-06-21       Impact factor: 5.022

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