[HTML][HTML] Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach

SK Dey, MM Rahman, A Howlader, UR Siddiqi… - PloS one, 2022 - journals.plos.org
Dengue fever is a severe disease spread by Aedes mosquito-borne dengue viruses
(DENVs) in tropical areas such as Bangladesh. Since its breakout in the 1960s, dengue …

[HTML][HTML] Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data

SQ Ong, P Isawasan, AMM Ngesom, H Shahar… - Scientific reports, 2023 - nature.com
Abstract Machine learning algorithms (ML) are receiving a lot of attention in the development
of predictive models for monitoring dengue transmission rates. Previous work has focused …

Modeling and descriptive analysis of dengue cases in Palu City, Indonesia

JW Puspita, M Fakhruddin, N Nuraini, R Fauzi… - Physica A: Statistical …, 2023 - Elsevier
Dengue is one of the most rapidly spreading diseases, especially in tropical and subtropical
countries, including Indonesia. This disease is transmitted by Aedes aegypti and Aedes …

[HTML][HTML] Larvicidal and anti-termite activities of microbial biosurfactant produced by Enterobacter cloacae SJ2 isolated from marine sponge Clathria sp.

S Harikrishnan, S Sudarshan, K Sivasubramani… - Scientific Reports, 2023 - nature.com
The widespread use of synthetic pesticides has resulted in a number of issues, including a
rise in insecticide-resistant organisms, environmental degradation, and a hazard to human …

[HTML][HTML] Relationship between urban environmental components and dengue prevalence in Dhaka city—an approach of spatial analysis of satellite remote sensing …

ASMM Kamal, MN Al-Montakim, MA Hasan… - International Journal of …, 2023 - mdpi.com
Dengue fever is a tropical viral disease mostly spread by the Aedes aegypti mosquito across
the globe. Each year, millions of people have dengue fever, and many die as a result. Since …

[PDF][PDF] Prescriptive, descriptive or predictive models: What approach should be taken when empirical data is limited? Reply to comments on “Mathematical models for …

M Aguiar, V Anam, K Blyuss, CD Estadilla, BV Guerrero… - 2023 - bird.bcamath.org
Mathematical modeling has become an important tool for the understanding of
epidemiological systems, addressing ideas about the components of pathogenenvironment …

[HTML][HTML] Mathematical modeling and stability analysis of the novel fractional model in the Caputo derivative operator: A case study

R Saadeh, MA Abdoon, A Qazza, M Berir, FEL Guma… - Heliyon, 2024 - cell.com
The fundamental goal of this research is to suggest a novel mathematical operator for
modeling visceral leishmaniasis, specifically the Caputo fractional-order derivative. By …

DengueNet: Dengue prediction using spatiotemporal satellite imagery for resource-limited countries

KT Kuo, D Moukheiber, SC Ordonez… - arXiv preprint arXiv …, 2024 - arxiv.org
Dengue fever presents a substantial challenge in developing countries where sanitation
infrastructure is inadequate. The absence of comprehensive healthcare systems …

[HTML][HTML] Modelling the impact of perfect and imperfect vaccination strategy against SARS CoV-2 by assuming varied vaccine efficacy over India

N Yaladanda, R Mopuri, HP Vavilala… - … Epidemiology and Global …, 2022 - Elsevier
Abstract Background The outbreak of Coronavirus disease (COVID-19) has swiftly spread
globally and caused public health and socio-economic disruption in many countries. An …

On the hindering evolution of drug resistance due to intraspecific competition arising during the facilitation survival for non-genetic resistance with fractal fractional …

A Shikongo, KM Owolabi - Modeling Earth Systems and Environment, 2023 - Springer
Abstract According to the World Health Organization (WHO), it is believed that many
prevalent human diseases are linked to climate fluctuations. This implies that from …