[HTML][HTML] Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model

TK Martheswaran, H Hamdi, A Al-Barty, AA Zaid… - Scientific Reports, 2022 - nature.com
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …

Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model.

TK Martheswaran, H Hamdi, A Al-Barty, AA Zaid… - Scientific …, 2022 - europepmc.org
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …

[HTML][HTML] Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model

TK Martheswaran, H Hamdi, A Al-Barty, AA Zaid… - Scientific …, 2022 - ncbi.nlm.nih.gov
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …

[PDF][PDF] Tarun Kumar Martheswaran1, Hamida Hamdi2Ε, Amal Al‑Barty2, Abeer Abu Zaid3 &

B Das4Ε - Scientific Reports, 2022 - academia.edu
Results Null model. Assessment of Singapore 2020 and Honduras 2019 outbreak data with
controlling the transmission rate produced a set of parameters and initial population …

Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model

TK Martheswaran, H Hamdi, A Al-Barty… - Scientific …, 2022 - ui.adsabs.harvard.edu
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …

Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model.

TK Martheswaran, H Hamdi, A Al-Barty… - Scientific …, 2022 - search.ebscohost.com
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …

[PDF][PDF] Tarun Kumar Martheswaran1, Hamida Hamdi2Ε, Amal Al‑Barty2, Abeer Abu Zaid3 &

B Das4Ε - Scientific Reports, 2022 - scienceopen.com
Results Null model. Assessment of Singapore 2020 and Honduras 2019 outbreak data with
controlling the transmission rate produced a set of parameters and initial population …

Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model.

TK Martheswaran, H Hamdi, A Al-Barty, AA Zaid, B Das - 2022 - cabidigitallibrary.org
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …

Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model

TK Martheswaran, H Hamdi, A Al-Barty… - Scientific …, 2022 - pubmed.ncbi.nlm.nih.gov
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …

Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model.

TK Martheswaran, H Hamdi, A Al-Barty, AA Zaid… - Scientific …, 2022 - europepmc.org
The recent increase in the global incidence of dengue fever resulted in over 2.7 million
cases in Latin America and many cases in Southeast Asia and has warranted the …