Search or ask a question

Which are more recent results on epidemic models with vectors?

Ordinary differential equation

Lyapunov function

Vector (molecular biology)

Best insight from top research papers

Recent results on epidemic models with vectors include the development of a model considering growing and decaying vector populations, which affects the dynamics and computation of the Basic Reproduction Number ($R_0$) . Additionally, a study incorporating media-triggered social awareness and seasonality in vector breeding reveals a threshold triggering self-defense mechanisms in the susceptible subpopulation, with dynamics showing confinement to slow and critical manifolds before reaching equilibria . Furthermore, a structured epidemic model integrating within-host immune-virus dynamics and within-vector viral kinetics, defines a dependent basic reproduction number $\mathcal R_0$ and highlights the impact of within-vector viral kinetics on disease spread and control strategies . These recent findings enhance our understanding of vector-borne disease dynamics and the complexities involved in modeling and controlling epidemics.

Answers from top 5 papers

PDF

Open Access

More filters

Papers (5)	Insight
Open access•Posted Content An Immuno-Epidemiological Vector-Host Model with Within-Vector Viral Kinetics Hayriye Gulbudak 17 Dec 2019-arXiv: Populations and Evolution 1 Citations	Recent results include defining within-host viral-immune response and within-vector viral kinetics dependent basic reproduction number, proving stability conditions, and highlighting the role of within-vector viral kinetics in epidemics.
Open access•Posted Content Exact epidemic models from a tensor product formulation Wout Merbis 23 Feb 2021-arXiv: Populations and Evolution 1 Citations	Not addressed in the paper.
Open access•Posted Content An epidemic model highlighting humane social awareness and vector-host lifespan ratio variation Karunia Putra Wijaya, Joseph Páez Chávez, Joseph Páez Chávez, Dipo Aldila - Show less +3 more 27 Feb 2020-arXiv: Populations and Evolution	Recent results include a model incorporating social awareness, self-defense systems, and varying vector-host lifespan ratios. The study reveals thresholds triggering self-defense mechanisms and dynamics influenced by media and seasonality.
Open access•Journal Article•DOI Vector Epidemic Model of Malaria with Nonconstant-Size Population 01 Jan 2022-Contributions to game theory and management	Recent results on epidemic models with vectors include global stability conditions for disease-free and endemic equilibriums, determination of basic reproduction number, and influence of key parameters on disease spread through numerical simulations.
Open access•Journal Article•DOI Vector-borne diseases with nonstationary vector populations: The case of growing and decaying populations 01 Nov 2022-Physical review 1 Citations	Recent results include a model addressing nonstationary vector populations in epidemic modeling, highlighting delays in dynamics and parameter reduction to aid in solving unidentifiability issues.

My columns

Related Questions

Domains of activation in SIS epidemic model4 answersIn the SIS epidemic model, domains of activation refer to the areas where nodes interact and potentially spread the infection. Various studies have explored different aspects of activation domains in epidemic modeling. Bae and Lee discuss the effectiveness of control schemes on dynamic networks with temporary link deactivation, highlighting the impact of community efforts to reduce infection risk. Pu and Lin investigate the impact of periodic evolution in habitats on disease prevention, emphasizing the influence of evolving domains on disease control. Tong and Lin delve into the effect of periodically evolving domains on disease transmission, focusing on the basic reproduction number and its dependence on evolving rates and spatial characteristics. These studies collectively contribute to understanding the dynamics of activation domains in SIS epidemic models.

What statement correctly compares pandemic diseases and epidemics diseases?5 answersPandemic diseases and epidemic diseases are both forms of communicable diseases that can have significant impacts on human populations. Pandemics are defined as widespread epidemics that occur over a large geographic area and affect a large number of people. They often involve the spread of infectious diseases across international boundaries and can have catastrophic effects on both military and civilian populations. Epidemics, on the other hand, refer to the occurrence of a disease in excess in a specific area or population. While both pandemics and epidemics can be caused by various pathogens such as viruses and bacteria, the distinction lies in the scale and extent of their spread. Pandemics, such as the current COVID-19 pandemic, have a global impact and require global response efforts, whereas epidemics are more localized in nature.

What are the impacts of infectious disease outbreaks in the past?4 answersInfectious disease outbreaks in the past have had significant impacts on societies. These outbreaks have led to psychological effects on the general population, including anxiety, depression, and post-traumatic stress. They have also shaped the economic, political, and social aspects of human civilization, with effects lasting for centuries. The economic consequences of pandemics have been observed, with increased income inequality in affected countries. Gender inequalities have also been affected, with declining gender equality and an increase in the gender gap in unemployment. Furthermore, these outbreaks have had socio-economic and public health implications, leading to food insecurity, global recession, and impacts on mental health. It is crucial to be prepared and have updated clinical management, epidemiological studies, and scientific efforts to combat simultaneous waves of multiple infectious diseases.

How can cellular automata be used to model the spread of epidemics?5 answersCellular automata (CA) can be used to model the spread of epidemics by simulating the dynamics of infection transmission between individuals in a population. CA models take into account the spatial and temporal aspects of the spread, allowing for the study of infection processes in conditions of spatial heterogeneity. The models can incorporate parameters such as the probability of migration of individuals, the presence of carrier agents, and the effects of interventions like vaccination. By using CA, researchers can capture the effects of infection spread over a scale of length and observe the growth of infection rates over space. The results obtained from CA models have been shown to be in good agreement with traditional mathematical models like the SIR model.

Why are studies aboiut vectors conducted more in Africa?5 answersStudies about vectors are conducted more in Africa due to several reasons. Firstly, Africa is the continent where the level of insecurity is critical, making it an important region to study the vectors of disease outbreaks. Secondly, Africa has experienced an increase in outbreaks caused by arboviruses such as dengue and yellow fever, which has prompted renewed interest in studying these viruses and their vectors. Additionally, vector control remains an important component of malaria control in Africa, where most infant deaths occur, leading to a focus on studying vector genetics, insecticide resistance, and alternative vector control strategies. Lastly, the need to review the current data available on vectors involved in dengue virus transmission in Africa, especially in urban areas, highlights the importance of conducting studies on vectors in this region.

What is epidemic plague narrative in literature?5 answersEpidemic plague narratives in literature explore the themes of disease, death, and resilience in the face of harrowing situations. These narratives often use epidemics as metaphors for larger social, cultural, and historical events. Writers have been exploring and representing the motif of epidemics in literature for centuries, emphasizing the importance of human resilience and ways to confront these challenges. Plague narratives can be seen as literary creations that imitate historical plague stories, shedding light on the literary culture and historical consciousness of different time periods. Despite spanning different time periods and text types, there seems to be a formulaic narrative structure for accounts of epidemics, both documentary and fictional. Comparisons between different plague narratives, such as Thucydides' account of the plague of Athens and Defoe's description of the plague of London, reveal similarities and differences in content, source material, genre, and narrative method.

See what other people are reading

What is the most effective formulation of the covid vaccination?

The most effective formulation of COVID-19 vaccination involves a combination of factors. Research indicates that key parameters influencing vaccination effectiveness include the effective transmission rate, first and second dose vaccination rates, recovery rate due to vaccination, vaccine efficacy, and vaccination coverage. Studies emphasize the importance of adhering to preventive measures, increasing vaccination rates, and considering vaccine-induced and natural immunity responses. Mathematical models suggest that optimal vaccination policies should minimize the burden of COVID-19 by considering factors like disability-adjusted years of life lost, vaccination coverage, and hospitalization occupancy levels. Additionally, the impact of vaccine efficacy, coverage, and immunity responses on mitigating the spread of the disease is highlighted..Can diffusion lag be prevented in the implementation of multimedia design innovation?

Diffusion lag in the implementation of multimedia design innovation can be prevented through various strategies. Research suggests that the adoption decision and implementation process are interconnected but have substantial differences. Effective implementation is crucial for innovation success, with external agencies like technology diffusion agencies playing a role in assisting organizations during implementation. To prevent delays, an agile-based framework integrating project management elements and agile strategies can be utilized to manage the implementation process step-by-step. Additionally, considering time delays in the adoption process is essential, as the time delay effect significantly impacts the adoption process of innovations. By addressing organizational factors, providing training, fostering a supportive climate, and leveraging external assistance, organizations can mitigate diffusion lag and enhance the successful implementation of multimedia design innovations.What is invasive bacterial disease?

Invasive bacterial disease refers to severe infections caused by bacteria that enter normally sterile areas of the body, leading to serious consequences and high fatality rates. These diseases, such as meningitis, sepsis, and bacteremic pneumonia, often lack specific symptoms for accurate diagnosis, emphasizing the importance of identifying the causative agent for effective treatment and prevention. Factors like age, underlying medical conditions, and vaccination status influence the incidence of invasive bacterial diseases, with certain populations being more susceptible to these infections. Vaccination plays a crucial role in controlling and eradicating invasive bacterial infections, with efforts aimed at reducing cases and deaths caused by specific bacterial species like Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, and Streptococcus agalactiae. Continuous monitoring and surveillance are essential to understand the impact of vaccines on disease patterns and the emergence of new serotypes.How invasive bacterial disease is spread?

Invasive bacterial diseases spread through various mechanisms, including entry into host cells, establishment of replicative niches, and dissemination to neighboring cells. Pathogenic bacteria like Salmonella, Shigella, and Listeria exploit host cell cytoskeletons for uptake. In immunocompromised hosts, such as those with malaria, invasive bacteria like nontyphoidal Salmonella can cause systemic infections with severe consequences. Studies on Salmonella infections in mice reveal complex dynamics, with rapid replication leading to the establishment of bacterial subpopulations in different organs, controlled by host antimicrobial mechanisms. Understanding the spatiotemporal dynamics of bacterial populations during infections is crucial for elucidating the spread of invasive diseases and the interplay between pathogens and host immune responses.What are the short-term and long-term effects of a lack of real-time stabilization on inverted pendulums?

A lack of real-time stabilization on inverted pendulums can have significant short-term and long-term effects. In the short term, it can lead to inadequate system behavior, finite escape time, and unstable responses due to time delays. This can result in poor performance, instability, and difficulty in maintaining control over the system. In the long term, the lack of real-time stabilization can hinder the system's stability, proper speed, robustness, and smooth tracking, especially in underactuated and nonlinear systems like inverted pendulums. Implementing optimized controllers such as hybrid controllers, fuzzy logic controllers, or a combination of LQR and sliding mode controllers can help address these issues and improve the overall performance and stability of inverted pendulum systems.What are the haemolytic effects of nitrogen-doped carbon dots?

Nitrogen-doped carbon dots (N-CDs) have emerged as a significant area of research due to their potential applications across various fields, including biomedicine and neuroscience. However, the haemolytic effects of these nanomaterials, or their impact on red blood cells, require careful consideration given their increasing exposure to the public and potential biosafety concerns. The synthesis of N-CDs, as described in various studies, involves methods that aim to enhance their fluorescence and quantum yield through nitrogen doping, which could influence their interaction with biological systems. Research focusing on the biomedical applications of N-CDs has shown promising results in terms of their low toxicity and high biocompatibility, which are crucial factors when considering the potential haemolytic effects. For instance, nitrogen-doped carbon dots synthesized for cell imaging and Fe3+ ion detection demonstrated good solubility, high quantum yield, and low cytotoxicity, suggesting minimal adverse effects on cell viability. Moreover, the ability of N-CDs to cross the blood-brain barrier in a concentration-dependent manner without significant cytotoxicity indicates a level of biocompatibility that could mitigate concerns about haemolytic effects. However, the adverse effects of N-CDs, particularly in the central nervous system, have been documented, including cell death and neuroinflammation in the hippocampus of mice, which raises questions about their safety profile. While these studies do not directly address haemolysis, they highlight the importance of evaluating the biosafety of N-CDs comprehensively. In summary, while the current literature primarily focuses on the synthesis, fluorescence enhancement, and potential applications of N-CDs, there is limited direct evidence regarding their haemolytic effects. The reported low toxicity and high biocompatibility in various studies suggest that N-CDs might have minimal haemolytic activity, but further research specifically addressing this aspect is necessary to fully understand their biosafety profile.What are the current gene therapy approaches being used to treat giant axonal neuropathy?

Current gene therapy approaches for treating giant axonal neuropathy (GAN) include viral vector delivery systems tested in animal models and ongoing clinical trials. Research has focused on gene replacement, addition, silencing, modification, and editing of genetic material to address the deficiency of gigaxonin, the protein associated with GAN. Studies have utilized knockout mouse models to validate therapeutic efficacy and viral vector delivery systems, leading to the development of intrathecal viral vectors for a Phase I gene therapy clinical trial in children with GAN. Additionally, the use of adeno-associated virus (AAV) 9-mediated gene replacement therapy is being explored in clinical trials as a potential treatment for GAN. These approaches aim to address the underlying genetic and molecular mechanisms of GAN to provide effective therapeutic interventions.Has time dilation been observed in biological aging processes?

Time dilation, a relativistic phenomenon, has been explored in the context of biological aging. While traditionally associated with physics, the concept of time dilation has been examined from an engineering perspective, suggesting a need to reevaluate long-held beliefs about its implications on aging. Recent research has delved into measuring the pace of aging through DNA methylation analysis, proposing a blood test, "DunedinPoAm," that can identify individuals aging at different rates. This innovative approach allows for the prediction of health risks, chronic diseases, and mortality based on the acceleration or deceleration of the aging process. By incorporating age-dependent random time delays into biophysical systems, a new framework has emerged to model processes like gene transcription, shedding light on the dynamics of biological systems.How has the COVID-19 pandemic affected the incidence and spread of dengue fever?

The COVID-19 pandemic has had varied impacts on the incidence and spread of dengue fever globally. Studies from Key Largo, Florida, and Brazil show disruptions in dengue dynamics and surveillance due to changes in mobility patterns and healthcare systems, leading to atypical dengue prevalence. In Thailand, a significant decline in dengue cases was observed during the pandemic, highlighting the challenges in diagnosing and monitoring dengue amidst the COVID-19 outbreak. Conversely, regions like Sri Lanka experienced a decrease in dengue cases during stringent population movement restrictions, suggesting reduced transmission due to limited human-vector interactions. Overall, the pandemic has influenced dengue incidence through various factors like climate conditions, reporting changes, human susceptibility, and mobility patterns, emphasizing the need for tailored public health interventions.Which are human receptors that interact with Envelope protein E from dengue to enable virus entry to cell?

The Envelope protein E of Dengue virus interacts with multiple human receptors to facilitate virus entry into cells. One such receptor is the Low-density lipoprotein receptor-related protein-1 (LRP1), which binds DENV virions by interacting with the DIII of the viral envelope glycoprotein, effectively inhibiting DENV infection. Additionally, actin and actin-related proteins have been identified as interacting partners of the DENV E protein, with actin being a bona fide interacting partner that decreases during infection, suggesting a role in the viral entry process. Furthermore, mucin protein has been found to interact with the surface of DENV virions, facilitating virus infection and movement in the mosquito vector. These interactions highlight the complexity of DENV entry into host cells through various receptors.How effective were the projects that are made already for the malaria detection and prediction ?

The projects developed for malaria detection and prediction have shown significant effectiveness through the utilization of advanced technologies like deep learning and image processing. Various models such as CNN, Faster R-CNN, YOLO, MobileNetV2, and ResNet50 have been employed to enhance the accuracy of diagnosing malaria. These models have demonstrated high accuracy rates ranging from 97.06% to 97.50% in detecting parasitized cells, distinguishing different species of Plasmodium, and identifying the parasitic stage of malaria. The use of machine learning algorithms has significantly reduced human error, improved diagnostic speed, and provided reliable predictions, making these projects crucial in the fight against malaria.