scholarly journals An almost periodic Dengue transmission model with age structure and time-delayed input of vector in a patchy environment

2017 ◽  
Vol 22 (11) ◽  
pp. 0-0
Author(s):  
Jing Feng ◽  
◽  
Bin-Guo Wang
Keyword(s):  
Age Structure ◽  
Transmission Model ◽  
Patchy Environment ◽  
Almost Periodic ◽  
Dengue Transmission

scholarly journals Sensitivity, uncertainty and identifiability analyses to define a dengue transmission model with real data of an endemic municipality of Colombia

PLoS ONE ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. e0229668
Author(s):  
Diana Paola Lizarralde-Bejarano ◽  
Daniel Rojas-Díaz ◽  
Sair Arboleda-Sánchez ◽  
María Eugenia Puerta-Yepes
Keyword(s):  
Real Data ◽  
Transmission Model ◽  
Dengue Transmission

scholarly journals Projections of increased and decreased dengue incidence under climate change

2016 ◽  
Vol 144 (14) ◽  
pp. 3091-3100 ◽  
Author(s):  
C. R. WILLIAMS ◽  
G. MINCHAM ◽  
H. FADDY ◽  
E. VIENNET ◽  
S. A. RITCHIE ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Warming ◽  
Carbon Emission ◽  
Climate Models ◽  
Virus Transmission ◽  
Transmission Model ◽  
Simple Relationship ◽  
Breeding Sites ◽  
Dengue Transmission ◽  
Dengue Epidemic

SUMMARYDengue is the world's most prevalent mosquito-borne disease, with more than 200 million people each year becoming infected. We used a mechanistic virus transmission model to determine whether climate warming would change dengue transmission in Australia. Using two climate models each with two carbon emission scenarios, we calculated future dengue epidemic potential for the period 2046–2064. Using the ECHAM5 model, decreased dengue transmission was predicted under the A2 carbon emission scenario, whereas some increases are likely under the B1 scenario. Dengue epidemic potential may decrease under climate warming due to mosquito breeding sites becoming drier and mosquito survivorship declining. These results contradict most previous studies that use correlative models to show increased dengue transmission under climate warming. Dengue epidemiology is determined by a complex interplay between climatic, human host, and pathogen factors. It is therefore naive to assume a simple relationship between climate and incidence, and incorrect to state that climate warming will uniformly increase dengue transmission, although in general the health impacts of climate change will be negative.

An SIR-Dengue transmission model with seasonal effects and impulsive control

2017 ◽  
Vol 289 ◽  
pp. 29-39 ◽  
Author(s):  
Joseph Páez Chávez ◽  
Thomas Götz ◽  
Stefan Siegmund ◽  
Karunia Putra Wijaya
Keyword(s):  
Impulsive Control ◽  
Seasonal Effects ◽  
Transmission Model ◽  
Dengue Transmission

scholarly journals Parameter estimation and fractional derivatives of dengue transmission model

2020 ◽  
Vol 5 (3) ◽  
pp. 2758-2779 ◽  
Author(s):  
Windarto ◽  
◽  
Muhammad Altaf Khan ◽  
Fatmawati ◽  
Keyword(s):  
Parameter Estimation ◽  
Fractional Derivatives ◽  
Transmission Model ◽  
Dengue Transmission ◽  
Derivatives Of

scholarly journals Multiobjective approach to optimal control for a dengue transmission model

10.19139/144 ◽  
2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Roman Denysiuk ◽  
Helena Sofia Rodrigues ◽  
M. Teresa T. Monteiro ◽  
Lino Costa ◽  
Isabel Espírito Santo ◽  
...  
Keyword(s):  
Optimal Control ◽  
Transmission Model ◽  
Dengue Transmission ◽  
Multiobjective Approach

scholarly journals An almost periodic epidemic model in a patchy environment

2015 ◽  
Vol 21 (1) ◽  
pp. 271-289 ◽  
Author(s):  
Bin-Guo Wang ◽  
Wan-Tong Li ◽  
Lizhong Qiang
Keyword(s):  
Epidemic Model ◽  
Patchy Environment ◽  
Almost Periodic

Bistable equilibrium criteria in dengue transmission model for Malaysia

2018 ◽  
Author(s):  
Chai Jian Tay ◽  
Su Yean Teh ◽  
Hock Lye Koh
Keyword(s):  
Transmission Model ◽  
Dengue Transmission
Sign in / Sign up

Export Citation Format

Share Document