Review on socio-economic impacts of 'Triple Threats' of COVID-19, desert locusts, and floods in East Africa: Evidence from Ethiopia
A Kassegn, E Endris - Cogent Social Sciences, 2021 - Taylor & Francis
East Africa region is facing an unprecedented triple socio-economic threat caused by the
combined effects of the ongoing COVID-19 pandemic, the upsurge of desert locusts, and …
combined effects of the ongoing COVID-19 pandemic, the upsurge of desert locusts, and …
[HTML][HTML] Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications
E Mbunge, J Batani - Telematics and Informatics Reports, 2023 - Elsevier
Deep learning and machine learning techniques present unmatched opportunities to
improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on …
improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on …
A statistical analysis of the novel coronavirus (COVID-19) in Italy and Spain
J Chu - PloS one, 2021 - journals.plos.org
The novel coronavirus (COVID-19) that was first reported at the end of 2019 has impacted
almost every aspect of life as we know it. This paper focuses on the incidence of the disease …
almost every aspect of life as we know it. This paper focuses on the incidence of the disease …
Bifurcation and optimal control analysis of HIV/AIDS and COVID-19 co-infection model with numerical simulation
HIV/AIDS and COVID-19 co-infection is a common global health and socio-economic
problem. In this paper, a mathematical model for the transmission dynamics of HIV/AIDS and …
problem. In this paper, a mathematical model for the transmission dynamics of HIV/AIDS and …
Machine learning model for computational tracking and forecasting the COVID-19 dynamic propagation
DC dos Santos Gomes… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
A computational model with intelligent machine learning for analysis of epidemiological
data, is proposed. The innovations of adopted methodology consist of an interval type-2 …
data, is proposed. The innovations of adopted methodology consist of an interval type-2 …
The optimal event-triggered impulsive control of a stochastic rumor spreading model incorporating time delay using the particle swarm optimization algorithm
X Chen, L Zhao - Journal of the Franklin Institute, 2023 - Elsevier
In the digital age, rumor spreading is becoming more widespread and faster than ever
before, and results in the more social panic and instability. Because of this, it is crucial to …
before, and results in the more social panic and instability. Because of this, it is crucial to …
Application of ARIMA, and hybrid ARIMA Models in predicting and forecasting tuberculosis incidences among children in Homa Bay and Turkana Counties, Kenya
S Siamba, A Otieno, J Koech - PLOS digital health, 2023 - journals.plos.org
Tuberculosis (TB) infections among children (below 15 years) is a growing concern,
particularly in resource-limited settings. However, the TB burden among children is relatively …
particularly in resource-limited settings. However, the TB burden among children is relatively …
Assessing the impact of non-pharmaceutical interventions (NPI) on the dynamics of COVID-19: A mathematical modelling study of the case of Ethiopia
The World Health Organization (WHO) declared COVID-19 a pandemic on March 11, 2020
and by November 14, 2020 there were 53.3 M confirmed cases and 1.3 M reported deaths in …
and by November 14, 2020 there were 53.3 M confirmed cases and 1.3 M reported deaths in …
A predictive decision support system for coronavirus disease 2019 response management and medical logistic planning
S Atek, F Bianchini, C De Vito, V Cardinale… - Digital …, 2023 - journals.sagepub.com
Objective Coronavirus disease 2019 demonstrated the inconsistencies in adequately
responding to biological threats on a global scale due to a lack of powerful tools for …
responding to biological threats on a global scale due to a lack of powerful tools for …
Analysis of learning curves in predictive modeling using exponential curve fitting with an asymptotic approach
LS Vianna, AL Gonçalves, JA Souza - Plos one, 2024 - journals.plos.org
The existence of large volumes of data has considerably alleviated concerns regarding the
availability of sufficient data instances for machine learning experiments. Nevertheless, in …
availability of sufficient data instances for machine learning experiments. Nevertheless, in …