Nowadays, the ability to make data-driven decisions in public health is of utmost importance. To achieve this, it is necessary for modelers to comprehend the impact of models on the future state of healthcare systems. Compartmental models are a valuable tool for making informed epidemiological decisions, and the proper parameterization of these models is crucial for analyzing epidemiological events. This work evaluated the use of compartmental models in conjunction with Particle Swarm Optimization (PSO) to determine optimal solutions and understand the dynamics of Dengue epidemics. The focus was on calculating and evaluating the rate of case reproduction, , for the Republic of Panama. Three compartmental models were compared: Susceptible-Infected-Recovered (SIR), Susceptible-Exposed-Infected-Recovered (SEIR), and Susceptible-Infected-Recovered Human-Susceptible-Infected Vector (SIR Human-SI Vector, SIR-SI). The models were informed by demographic data and Dengue incidence in the Republic of Panama between 1999 and 2022, and the susceptible population was analyzed. The SIR, SEIR, and SIR-SI models successfully provided estimates ranging from 1.09 to 1.74. This study provides, to the best of our understanding, the first calculation of for Dengue outbreaks in the Republic of Panama.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147988 | PMC |
| http://dx.doi.org/10.1016/j.heliyon.2023.e15424 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Improving accuracy in the estimation of probable dementia in racially and ethnically diverse groups with penalized regression and transfer learning.
Am J Epidemiol
January 2025
Department of Social Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Algorithmic estimations of dementia status are widely used in public health and epidemiological research, however, inadequate algorithm performance across racial/ethnic groups has been a barrier. We present improvements in the accuracy of group-specific "probable dementia" estimation using a transfer learning approach. Transfer learning involves combining models trained on a large "source" dataset with imprecise outcome assessments, alongside models trained on a smaller "target" dataset with high-quality outcome assessments.
View Article and Find Full Text PDFPreeclampsia (PE) is a prevalent and severe pregnancy complication that significantly impacts maternal and perinatal health. Epidemiological studies and animal experiments have demonstrated that PE adversely affects the cardiovascular and nervous systems of offspring, increasing their risk of hypertension and renal pathology. However, the mechanisms underlying this increased risk remain unclear.
View Article and Find Full Text PDFMortality causes and health spending by gender and health conditions in octogenarians, nonagenarians and centenarians in Colombia.
Sci Rep
January 2025
School of Public Health, University Medical Center Utrecht, Utrecht University & Harvard T.H. Chan, Harvard University, Utrecht, The Netherlands.
This document determines the causes of mortality (2008-2022) and calculate per capita health expenditure (2013-2021) in octogenarians, nonagenarians and centenarians in the Colombian population, considering year, gender and age group. For this nationwide retrospective descriptive observational study, epidemiological regions, urban/rural areas and morbidities were also studied. A mean of 75,552 deaths was observed from 2008 to 2022.
View Article and Find Full Text PDFGender-based violence and associated factors during armed conflict among female high school students in Kobo town, North Wollo, Ethiopia: a facility-based cross-sectional study.
BMJ Open
January 2025
Department of Public Health, Debre Markos University, Debre Markos, Ethiopia.
Objective: This study aimed to assess gender-based violence and associated factors during the time of armed conflict among female high school students in Kobo administration town, North Wollo, Ethiopia.
Study Design: An institutional-based, quantitative and cross-sectional study was conducted.
Setting: This research was carried out in Kobo town, North Wollo, Ethiopia high schools.
Differential impact of cervical cancer in immigrant women: a decade-long epidemiological study in the Marche Region, Italy.
J Epidemiol Community Health
January 2025
Dipartimento di Scienze Biomediche e Sanità Pubblica, Università Politecnica delle Marche, Ancona, Italy
Background: Cervical cancer is primarily caused by persistent human papilloma virus (HPV) infections, with significant disparities observed in its burden, especially affecting immigrant populations from high HPV prevalence regions. This study evaluates the incidence and severity of cervical cancer in immigrant women in the Marche region, Italy, from 2010 to 2019.
Methods: We employed a detailed analysis of population-based data from the Marche Cancer Registry using the age-standardised incidence rates (IRs) and Poisson regression models for in situ cervical cancer (ISCC) and infiltrating cervical cancer (ICC).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!