Integrating Environmental Temperature Conditions into the SIR Model for Vector-Borne Diseases

  • Md ArquamEmail author
  • Anurag SinghEmail author
  • Hocine CherifiEmail author
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 881)


Nowadays, Complex networks are used to model and analyze various problems of real-life e.g. information diffusion in social networks, epidemic spreading in human population etc. Various epidemic spreading models are proposed for analyzing and understanding the spreading of infectious diseases in human contact networks. In classical epidemiological models, a susceptible person becomes infected after getting in contact with an infected person among the human population only. However, in vector-borne diseases, a human can be infected also by a living organism called a vector. The vector population that also help in spreading diseases is very sensitive to environmental factors such as temperature and humidity. Therefore, new researches are required to derive more realistic models to relate the dynamics of epidemics in the human population with environmental conditions. In order to integrate the impact of the temperature in the spreading of infection, we propose and investigate a modified SIR (Susceptible-Infected-Recovered) model tailored to vector-borne diseases. Simulations of the proposed model inspired by real data-sets of infectious diseases are performed using an homogeneous human contact network. Results show that the proposed model corroborates the real-world data behavior, and it demonstrates its effectiveness to account for the temperature influence on the epidemic dynamics.


Epidemic spreading Complex network Temperature Dynamics on network SIR model 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.National Institute of Technology DelhiNew DelhiIndia
  2. 2.University of BurgundyDijonFrance

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