Introduction: The Momposina region is one of the most interesting areas to study new epidemiological scenarios for Chagas disease in Colombia.
Objectives: To determine the presence of a source of peridomestic transmission of T. cruzi and its epidemiological risk in the Momposina region, based on the bimodal weather pattern characteristic of Colombia.
Materials And Methods: Four surveys over two years (two in the rainy season and two during the dry one) were conducted. Triatomines feces and blood samples from human and reservoirs were evaluated for presence of antibodies and parasites by ELISA, IFI and PCR. The conditions of housing, feeding triatomine state and involvement of dogs in the transmission were assessed.
Results: High rates of infection with T. cruzi in insects and wild animals were found. Infection rates of T. cruzi in dogs (15%) and humans (16.8%) were found. The results obtained in this study indicated that in the dry season there is increased risk of infection with T. cruzi , given the higher population density of insects, the higher percentage of fed insects and the higher rate of infection.
Conclusion: These results confirm the presence and movement of a peridomestic outbreak of T. cruzi and describes some risk factors for the eco-epidemiological area, suggesting new epidemiological scenarios for Chagas disease in Colombia.
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http://dx.doi.org/10.7705/biomedica.v33i4.836 | DOI Listing |
BMC Public Health
January 2025
Center for Pharmacoeconomics and Outcomes Research, China Pharmaceutical University, Nanjing, 211198, China.
Background: This study assessed the effectiveness and cost-effectiveness of breast cancer screening across rural and urban regions in China's four economic zones.
Methods: Using a decision-analytic Markov model, we evaluated 5,280 scenarios involving different ages and screening technologies. The model followed individuals from birth through 100 yearly cycles in eight settings.
Sci Rep
January 2025
Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany.
The global burden of dengue disease is escalating under the influence of climate change, with India contributing a third of the total. The non-linearity and regional heterogeneity inherent in the climate-dengue relationship and the lack of consistent data makes it difficult to make useful predictions for effective disease prevention. The current study investigates these non-linear climate-dengue links in Pune, a dengue hotspot region in India with a monsoonal climate and presents a model framework for predicting both the near-term and future dengue mortalities.
View Article and Find Full Text PDFPLoS Med
January 2025
School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Background: School closures have been a prominent component of the global Coronavirus Disease 2019 (COVID-19) response. However, their effect on viral transmission, COVID-19 mortality and health care system pressure remains incompletely understood, as traditional observational studies fall short in assessing such population-level impacts.
Methods And Findings: We used a mathematical model to simulate the COVID-19 epidemics of 74 countries, incorporating observed data from 2020 to 2022 and historical school closure timelines.
Front Pediatr
January 2025
Cluster for Health Services Research, Norwegian Institute of Public Health, Oslo, Norway.
Aim: Healthcare services are in need of tools that can help to ensure a sufficient capacity in periods with high prevalence of respiratory tract infections (RTIs). During the COVID-19 pandemic, we forecasted the number of hospital admissions for RTIs among children aged 0-5 years. Now, in 2024, we aim to examine the accuracy and usefulness of our forecast models.
View Article and Find Full Text PDFHeliyon
January 2025
Bacterial Disease Laboratory, Postgraduate Program in Animal Science in Tropics - Federal University of Bahia, Salvador, Bahia, Brazil.
Leptospirosis is a zoonotic infectious disease that significantly impacts animal and public health. Comparative genomics can aid in understanding poorly understood aspects of leptospirosis pathogenesis, including infection mechanisms, antimicrobial resistance, and host interactions across different epidemiological scenarios. This study aimed to compare the genomes of serogroup Icterohaemorrhagiae strains isolated from three host species in a single epidemiological scenario.
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