• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

通过一个改进的温度依赖数学模型评估巴西伊瓜苏港的蚊子动态和登革热传播情况。

Assessing mosquito dynamics and dengue transmission in Foz do Iguaçu, Brazil through an enhanced temperature-dependent mathematical model.

作者信息

Rauh Caio S, Araujo Eduardo C, Ganem Fabiana, Lana Raquel M, Leandro André S, Martins Caroline A, Coelho Flávio C, Codeço Cláudia T, Bastos Leonardo S, Pinho Suani T R

机构信息

Instituto de Física, Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil.

Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba, Paraná, Brazil.

出版信息

PLoS One. 2025 Sep 8;20(9):e0330902. doi: 10.1371/journal.pone.0330902. eCollection 2025.

DOI:10.1371/journal.pone.0330902
PMID:40920874
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12416844/
Abstract

Dengue fever remains a major public health concern, requiring continuous efforts to mitigate its impact. This study investigates the influence of key temperature-dependent parameters on dengue transmission dynamics in Foz do Iguaçu, a tri-border municipality in southern Brazil, using a mathematical model based on a system of ordinary differential equations. The fitted model aligns well with observed data. To track changes in dengue transmission over time and detect epidemic onset, we calculated the effective reproduction number. Additionally, we explored the potential effects of climate variability on dengue dynamics. Our findings highlight the importance of vector population dynamics, climate, and incidence, offering insights into dengue transmission in Foz do Iguaçu. This research provides a foundation for optimizing intervention strategies in other cities, improving outbreak prediction, and supporting public health efforts in dengue control.

摘要

登革热仍然是一个主要的公共卫生问题，需要持续努力来减轻其影响。本研究使用基于常微分方程系统的数学模型，调查了关键温度依赖参数对巴西南部三国交界城市伊瓜苏港登革热传播动态的影响。拟合模型与观测数据吻合良好。为了跟踪登革热传播随时间的变化并检测疫情爆发，我们计算了有效繁殖数。此外，我们还探讨了气候变异性对登革热动态的潜在影响。我们的研究结果突出了病媒种群动态、气候和发病率的重要性，为伊瓜苏港的登革热传播提供了见解。这项研究为优化其他城市的干预策略、改进疫情预测以及支持登革热防控方面的公共卫生努力奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/020dbc43d08d/pone.0330902.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/ef25898945e2/pone.0330902.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/93a5c29fa851/pone.0330902.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/bebaa53a2c8a/pone.0330902.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/4752ce4fe812/pone.0330902.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/a37af98f44db/pone.0330902.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/8a0acb864c26/pone.0330902.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/2ca7c433a21f/pone.0330902.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/bf31859ac102/pone.0330902.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/f2e24b0521b0/pone.0330902.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/020dbc43d08d/pone.0330902.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/ef25898945e2/pone.0330902.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/93a5c29fa851/pone.0330902.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/bebaa53a2c8a/pone.0330902.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/4752ce4fe812/pone.0330902.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/a37af98f44db/pone.0330902.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/8a0acb864c26/pone.0330902.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/2ca7c433a21f/pone.0330902.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/bf31859ac102/pone.0330902.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/f2e24b0521b0/pone.0330902.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9aa/12416844/020dbc43d08d/pone.0330902.g010.jpg

相似文献

1
Assessing mosquito dynamics and dengue transmission in Foz do Iguaçu, Brazil through an enhanced temperature-dependent mathematical model.通过一个改进的温度依赖数学模型评估巴西伊瓜苏港的蚊子动态和登革热传播情况。
PLoS One. 2025 Sep 8;20(9):e0330902. doi: 10.1371/journal.pone.0330902. eCollection 2025.
2
The impact of large-scale deployment of mosquitoes on dengue and other -borne diseases in Rio de Janeiro and Niterói, Brazil: study protocol for a controlled interrupted time series analysis using routine disease surveillance data.大规模部署蚊子对巴西里约热内卢和尼泰罗伊登革热和其他虫媒疾病的影响：使用常规疾病监测数据进行对照中断时间序列分析的研究方案。
F1000Res. 2019 Aug 1;8:1328. doi: 10.12688/f1000research.19859.2. eCollection 2019.
3
Unraveling regional variability in Dengue outbreaks in Brazil: leveraging the Moving Epidemics Method (MEM) and climate data to optimize vector control strategies.解析巴西登革热疫情的区域差异：利用移动疫情方法（MEM）和气候数据优化病媒控制策略。
PLoS Negl Trop Dis. 2025 Jun 23;19(6):e0013175. doi: 10.1371/journal.pntd.0013175. eCollection 2025 Jun.
4
Estimating the Size of the Aedes Mosquitoes' Population Involved in Outbreaks of Dengue and Chikungunya Using a Mathematical Model.使用数学模型估计参与登革热和基孔肯雅热疫情的伊蚊种群规模。
Bull Math Biol. 2025 Aug 8;87(9):124. doi: 10.1007/s11538-025-01489-z.
5
Assessing the spatio-temporal risk of Aedes-borne arboviral diseases in non-endemic regions: The case of Northern Spain.评估非流行地区伊蚊传播虫媒病毒病的时空风险：以西班牙北部为例。
PLoS Negl Trop Dis. 2025 Jul 28;19(7):e0013325. doi: 10.1371/journal.pntd.0013325. eCollection 2025 Jul.
6
Dynamics of vector competence for dengue virus type 2 in rural and urban populations of Aedes albopictus: implications for infectious disease control.白纹伊蚊农村和城市种群中登革2型病毒媒介能力的动态变化：对传染病控制的启示
Parasit Vectors. 2025 Jun 1;18(1):201. doi: 10.1186/s13071-025-06826-8.
7
Longitudinal surveillance of Aedes aegypti (Diptera: Culicidae) in urban coastal Kenya: population dynamics, blood feeding frequency and dengue virus infection rates.肯尼亚沿海城市埃及伊蚊（双翅目：蚊科）的纵向监测：种群动态、吸血频率和登革病毒感染率
Sci Rep. 2025 Jul 1;15(1):21787. doi: 10.1038/s41598-025-05408-z.
8
Review of dengue vectors in Cambodia: distribution, bionomics, vector competence, control and insecticide resistance.柬埔寨登革热媒介的研究综述：分布、生物学、媒介效能、控制和抗药性。
Parasit Vectors. 2024 Oct 9;17(1):424. doi: 10.1186/s13071-024-06481-5.
9
Role of vector phenotypic plasticity in disease transmission as illustrated by the spread of dengue virus by Aedes albopictus.媒介表型可塑性在疾病传播中的作用——以白纹伊蚊传播登革病毒为例。
Nat Commun. 2024 Sep 7;15(1):7823. doi: 10.1038/s41467-024-52144-5.
10
Natural vertical transmission of dengue virus in Aedes aegypti and Aedes albopictus: a systematic review.自然垂直传播登革病毒在埃及伊蚊和白纹伊蚊：系统评价。
Parasit Vectors. 2018 Feb 1;11(1):77. doi: 10.1186/s13071-018-2643-9.

本文引用的文献

1
Climate change, thermal anomalies, and the recent progression of dengue in Brazil.气候变化、热异常与巴西登革热的近期发展
Sci Rep. 2024 Mar 11;14(1):5948. doi: 10.1038/s41598-024-56044-y.
2
Facing the escalating burden of dengue: Challenges and perspectives.面对登革热不断升级的负担：挑战与展望
PLOS Glob Public Health. 2023 Dec 15;3(12):e0002598. doi: 10.1371/journal.pgph.0002598. eCollection 2023.
3
Applying a multi-strain dengue model to epidemics data.应用多株系登革热模型于流行病情数据。
Math Biosci. 2023 Jun;360:109013. doi: 10.1016/j.mbs.2023.109013. Epub 2023 Apr 29.
4
The relative importance of key meteorological factors affecting numbers of mosquito vectors of dengue fever.影响登革热蚊媒数量的关键气象因素的相对重要性。
PLoS Negl Trop Dis. 2023 Apr 13;17(4):e0011247. doi: 10.1371/journal.pntd.0011247. eCollection 2023 Apr.
5
A Systematic Review on Modeling Methods and Influential Factors for Mapping Dengue-Related Risk in Urban Settings.基于城市环境的登革热相关风险制图模型方法及影响因素的系统评价
Int J Environ Res Public Health. 2022 Nov 18;19(22):15265. doi: 10.3390/ijerph192215265.
6
Estimating the effective reproduction number for heterogeneous models using incidence data.使用发病率数据估计异质性模型的有效再生数。
R Soc Open Sci. 2022 Sep 7;9(9):220005. doi: 10.1098/rsos.220005. eCollection 2022 Sep.
7
Mathematical and statistical models for the control of mosquito-borne diseases: the experience of Costa Rica.用于控制蚊媒疾病的数学和统计模型：哥斯达黎加的经验。
Rev Panam Salud Publica. 2022 Aug 30;46:e113. doi: 10.26633/RPSP.2022.113. eCollection 2022.
8
Citywide Integrated Aedes aegypti Mosquito Surveillance as Early Warning System for Arbovirus Transmission, Brazil.巴西全市范围的埃及伊蚊综合监测作为虫媒病毒传播的预警系统。
Emerg Infect Dis. 2022 Apr;28(4):701-706. doi: 10.3201/eid2804.211547.
9
Mathematical models for dengue fever epidemiology: A 10-year systematic review.登革热流行病学的数学模型：一项 10 年系统性回顾。
Phys Life Rev. 2022 Mar;40:65-92. doi: 10.1016/j.plrev.2022.02.001. Epub 2022 Feb 15.
10
Fine-scale heterogeneity in population density predicts wave dynamics in dengue epidemics.人口密度的细粒度异质性预测登革热疫情的波动态势。
Nat Commun. 2022 Feb 22;13(1):996. doi: 10.1038/s41467-022-28231-w.