ArticleComputational and mathematical methods in medicine2020
Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis.
Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 34 citations in OpenAlex.
- Simulation and prediction of human brucellosis epidemic trends in Changji city.Infectious Disease Modelling · 2026Article
- Seasonal dynamic modeling for real-time prediction of human brucellosis epidemiological trends in Gansu, Guangdong and Sichuan Provinces, China.PLoS neglected tropical diseases · 2026Article
- A multi-source data-based modelling study on brucellosis transmission risk analysis and control strategies in Zhejiang Province, China.BMC infectious diseases · 2026Article
- Assessing the spatiotemporal dynamics and driving factors of human brucellosis in Northern Xinjiang, China (2015-2023).Tropical medicine and health · 2026Article
- Climate-Sensitive Transmission of Human Brucellosis: A Systematic Review of Climatic and Environmental Determinants in the Middle East.Journal of tropical medicine · 2026Review
- Incidence trend analysis of human brucellosis in the context of human development: an ecological study using joinpoint regression in Iran.BMC public health · 2025Article
- Seropositivity and diagnostic challenges of bovine brucellosis in Limpopo and Free State (2013-2022).The Onderstepoort journal of veterinary research · 2025Article
- Modelling the effects of virus-resistant planting material on the transmission dynamics of banana bunchy top disease.Scientific reports · 2025Article
- Sensitivity analysis and dynamics of brucellosis infection disease in cattle with control incident rate by using fractional derivative.Scientific reports · 2025Article
- Bovine Brucellosis: First Comprehensive Evaluation from Hamedan, an Endemic Area in Iran.Indian journal of microbiology · 2024Article
- Modeling the impact of short-term displacement of domestic animals on the transmission dynamics of brucellosis.Heliyon · 2024Article
- Spatiotemporal distribution and ecological factors of brucellosis among children from 2016 to 2020 in Inner Mongolia, China.BMC infectious diseases · 2024Article
- Using participatory epidemiology to investigate the causes of cattle abortion in Southwest Ethiopia.Heliyon · 2024Article
- Exposure toPathogens (Basel, Switzerland) · 2024Article
- Serodiagnosis of human brucellosis by an indirect ELISA test using recombinant outer membrane protein 19 kDa (rOMP19) as an antigen.BMC biotechnology · 2023Article
- Management of bovine brucellosis in organized dairy herds through the identification of risk factors: A cross-sectional study from Karnataka, India.Veterinary world · 2023Article
- Using One Health assessments to leverage endemic disease frameworks for emerging zoonotic disease threats in Libya.PLOS global public health · 2023Article
- Mathematical modeling at the livestock-wildlife interface: scoping review of drivers of disease transmission between species.Frontiers in veterinary science · 2023Article
- Brucellae as resilient intracellular pathogens: epidemiology, host-pathogen interaction, recent genomics and proteomics approaches, and future perspectives.Frontiers in veterinary science · 2023Review
- Optimal control analysis ofParasite epidemiology and control · 2022Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A deterministic mathematical model for brucellosis that incorporates seasonality on direct and indirect transmission parameters for domestic ruminants, wild animals, humans, and the environment was formulated and analyzed in this paper. Both analytical and numerical simulations are presented. From this study, the findings show that variations in seasonal weather have the great impact on the transmission dynamics of brucellosis in humans, livestock, and wild animals. Thus, in order for the disease to be controlled or eliminated, measures should be timely implemented upon the fluctuation in the transmission of the disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.