Mathematical modeling of dengue virus serotypes propagation in Mexico
G Sánchez-González, R Condé - Plos one, 2023 - journals.plos.org
The Dengue virus (DENV) constitutes a major vector borne virus disease worldwide.
Prediction of the DENV spread dynamics, prevalence and infection rates are crucial …
Prediction of the DENV spread dynamics, prevalence and infection rates are crucial …
Mathematical analysis and prediction of future outbreak of dengue on time-varying contact rate using machine learning approach
This article introduces a novel mathematical model analyzing the dynamics of Dengue in the
recent past, specifically focusing on the 2023 outbreak of this disease. The model explores …
recent past, specifically focusing on the 2023 outbreak of this disease. The model explores …
[HTML][HTML] Forecasting of area, production, and yield of jute in Bangladesh using Box-Jenkins ARIMA model
S Yasmin, M Moniruzzaman - Journal of Agriculture and Food Research, 2024 - Elsevier
Jute holds significant importance as a cash crop in Bangladesh and was once renowned as
the country's" golden fiber." Before embarking on a comprehensive strategy, it is crucial to …
the country's" golden fiber." Before embarking on a comprehensive strategy, it is crucial to …
Dynamics of Malaria Incidence in Khyber Pakhtunkhwa, Pakistan: Unveiling Rapid Growth Patterns and Forecasting Future Trends
Background Malaria remains a formidable worldwide health challenge, with approximately
half of the global population at high risk of catching the infection. This research study aimed …
half of the global population at high risk of catching the infection. This research study aimed …
Early Prediction of Dengue Cases Using Time Series Model
M Tejaswi, V Supritha… - 2023 IEEE 8th International …, 2023 - ieeexplore.ieee.org
Dengue, is a seasonal infectious disease has been spreading widely throughout the world.
Because of this many of the people are losing their lives. So public Health organizations and …
Because of this many of the people are losing their lives. So public Health organizations and …
Utilizing time series for forecasting the development trend of coronavirus: A validation process
X Zhang, F Wang - … of Computational Methods in Sciences and …, 2023 - content.iospress.com
A time series prediction model was developed to predict the number of confirmed cases from
October 2022 to November 2022 based on the number of confirmed cases of New Coronary …
October 2022 to November 2022 based on the number of confirmed cases of New Coronary …
Vigilância entomo-virológica em Aedes (Stegomyia) aegypti, Aedes (Stegomyia) albopictus e Culex spp. nas cidades gêmeas de Letícia (Colômbia) e Tabatinga …
JC Nieto Grisales - 2023 - arca.fiocruz.br
Objetivo: Avaliar a dinâmica entomo-virológica de Aedes (Stegomyia) aegypti, Aedes
(Stegomyia) albopictus e Culex spp., desde uma perspectiva de vigilância transfronteiriça …
(Stegomyia) albopictus e Culex spp., desde uma perspectiva de vigilância transfronteiriça …
[PDF][PDF] Forecasting Dengue Cases using Hybrid GARCH Model
SRK Priya, N Naranammal, S Sneha - arfjournals.com
The Dengue incidence has increased over the past ten years in India. Almost half of the
world's population, about 4 billion people, live in areas with a risk of Dengue. So, forecasting …
world's population, about 4 billion people, live in areas with a risk of Dengue. So, forecasting …