• 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

间歇性预防治疗对疟疾耐药性在人口流动地区传播的影响。

The effect of intermittent preventive treatment on anti-malarial drug resistance spread in areas with population movement.

作者信息

Teboh-Ewungkem Miranda I, Mohammed-Awel Jemal, Baliraine Frederick N, Duke-Sylvester Scott M

机构信息

Department of Mathematics, Lehigh University, Bethlehem, PA 18015, USA.

出版信息

Malar J. 2014 Nov 15;13:428. doi: 10.1186/1475-2875-13-428.

DOI:10.1186/1475-2875-13-428
PMID:25398463
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4289180/
Abstract

BACKGROUND

The use of intermittent preventive treatment in pregnant women (IPTp), children (IPTc) and infant (IPTi) is an increasingly popular preventive strategy aimed at reducing malaria risk in these vulnerable groups. Studies to understand how this preventive intervention can affect the spread of anti-malarial drug resistance are important especially when there is human movement between neighbouring low and high transmission areas. Because the same drug is sometimes utilized for IPTi and for symptomatic malaria treatment, distinguishing their individual roles on accelerating the spread of drug resistant malaria, with or without human movement, may be difficult to isolate experimentally or by analysing data. A theoretical framework, as presented here, is thus relevant as the role of IPTi on accelerating the spread of drug resistance can be isolated in individual populations and when the populations are interconnected and interact.

METHODS

A previously published model is expanded to include human movement between neighbouring high and low transmission areas, with focus placed on the malaria parasites. Parasite fitness functions, determined by how many humans the parasites can infect, are used to investigate how fast resistance can spread within the neighbouring communities linked by movement, when the populations are at endemic equilibrium.

RESULTS

Model simulations indicate that population movement results in resistance spreading fastest in high transmission areas, and the more complete the anti-malarial resistance the faster the resistant parasite will tend to spread through a population. Moreover, the demography of infection in low transmission areas tends to change to reflect the demography of high transmission areas. Additionally, when regions are strongly connected the rate of spread of partially resistant parasites (R1) relative to drug sensitive parasites (RS), and fully resistant parasites (R2) relative to partially resistant parasites (R1) tend to behave the same in both populations, as should be expected.

CONCLUSIONS

In fighting anti-malarial drug resistance, different drug resistance monitoring and management policies are needed when the area in question is an isolated high or low transmission area, or when it is close and interacting with a neighbouring high or low transmission area, with human movement between them.

摘要

背景

在孕妇(间歇性预防治疗 - 孕妇,IPTp)、儿童(间歇性预防治疗 - 儿童,IPTc)和婴儿(间歇性预防治疗 - 婴儿,IPTi)中使用间歇性预防治疗是一种越来越流行的预防策略,旨在降低这些弱势群体感染疟疾的风险。了解这种预防性干预如何影响抗疟药物耐药性的传播的研究很重要,尤其是当相邻的低传播区和高传播区之间存在人员流动时。由于有时使用相同的药物进行IPTi和症状性疟疾治疗,要区分它们在加速耐药疟疾传播方面的各自作用(无论有无人员流动),可能很难通过实验或数据分析来孤立地确定。因此,本文提出的理论框架具有相关性,因为IPTi在加速耐药性传播方面的作用可以在个体人群中以及当人群相互连接并相互作用时被孤立出来。

方法

对先前发表的模型进行扩展,以纳入相邻高传播区和低传播区之间的人员流动,重点关注疟原虫。通过寄生虫能感染的人类数量确定的寄生虫适应性函数,用于研究在人群处于地方病平衡状态时,耐药性在通过流动连接的相邻社区中传播的速度。

结果

模型模拟表明,人口流动导致耐药性在高传播区传播最快,抗疟耐药性越完全,耐药寄生虫在人群中传播的速度就越快。此外,低传播区的感染人口统计学倾向于发生变化,以反映高传播区的人口统计学。此外,当地区紧密相连时,部分耐药寄生虫(R1)相对于药物敏感寄生虫(RS)的传播速度,以及完全耐药寄生虫(R2)相对于部分耐药寄生虫(R1)的传播速度,在两个群体中往往表现相同,这是可以预期的。

结论

在对抗疟药物耐药性的斗争中,当所讨论的地区是孤立的高传播区或低传播区,或者当它与相邻的高传播区或低传播区接近并相互作用且它们之间存在人员流动时,需要不同的耐药性监测和管理政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/86cb306dcb27/12936_2014_3653_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/0af1414f4ff2/12936_2014_3653_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/c3bb40ada64c/12936_2014_3653_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/abb172f6e2d3/12936_2014_3653_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/7a50079579f2/12936_2014_3653_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/820be89450a7/12936_2014_3653_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/ea640bd63f29/12936_2014_3653_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/5c1b06713ef2/12936_2014_3653_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/96bbb276d7eb/12936_2014_3653_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/a33ef5436ed9/12936_2014_3653_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/143912427ced/12936_2014_3653_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/af0a5e29b899/12936_2014_3653_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/e4ac1d837e60/12936_2014_3653_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/86cb306dcb27/12936_2014_3653_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/0af1414f4ff2/12936_2014_3653_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/c3bb40ada64c/12936_2014_3653_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/abb172f6e2d3/12936_2014_3653_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/7a50079579f2/12936_2014_3653_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/820be89450a7/12936_2014_3653_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/ea640bd63f29/12936_2014_3653_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/5c1b06713ef2/12936_2014_3653_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/96bbb276d7eb/12936_2014_3653_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/a33ef5436ed9/12936_2014_3653_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/143912427ced/12936_2014_3653_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/af0a5e29b899/12936_2014_3653_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/e4ac1d837e60/12936_2014_3653_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4cb/4289180/86cb306dcb27/12936_2014_3653_Fig13_HTML.jpg

相似文献

1
The effect of intermittent preventive treatment on anti-malarial drug resistance spread in areas with population movement.间歇性预防治疗对疟疾耐药性在人口流动地区传播的影响。
Malar J. 2014 Nov 15;13:428. doi: 10.1186/1475-2875-13-428.
2
Potential impact of intermittent preventive treatment (IPT) on spread of drug-resistant malaria.间歇性预防治疗(IPT)对耐药疟疾传播的潜在影响。
PLoS Med. 2006 May;3(5):e141. doi: 10.1371/journal.pmed.0030141. Epub 2006 Apr 4.
3
Spread of anti-malarial drug resistance: mathematical model with implications for ACT drug policies.抗疟药物耐药性的传播:对青蒿素联合疗法药物政策有影响的数学模型
Malar J. 2008 Nov 2;7:229. doi: 10.1186/1475-2875-7-229.
4
The promise and potential challenges of intermittent preventive treatment for malaria in infants (IPTi).婴儿疟疾间歇性预防治疗(IPTi)的前景与潜在挑战。
Malar J. 2005 Jul 20;4:33. doi: 10.1186/1475-2875-4-33.
5
A community-randomized evaluation of the effect of intermittent preventive treatment in infants on antimalarial drug resistance in southern Tanzania.在坦桑尼亚南部,对婴儿间歇性预防治疗对抗疟药物耐药性影响的社区随机评估。
J Infect Dis. 2013 Mar 1;207(5):848-59. doi: 10.1093/infdis/jis742. Epub 2012 Dec 5.
6
Hyperparasitaemia and low dosing are an important source of anti-malarial drug resistance.寄生虫过度感染和低剂量用药是抗疟药物产生抗药性的一个重要原因。
Malar J. 2009 Nov 11;8:253. doi: 10.1186/1475-2875-8-253.
7
Epidemiological models for the spread of anti-malarial resistance.抗疟疾耐药性传播的流行病学模型。
Malar J. 2003 Feb 19;2:3. doi: 10.1186/1475-2875-2-3.
8
Drug resistance models for malaria.疟疾的耐药模型
Acta Trop. 2005 Jun;94(3):207-17. doi: 10.1016/j.actatropica.2005.04.006.
9
The Hitchhiking Parasite: Why Human Movement Matters to Malaria Transmission and What We Can Do About It.搭便车的寄生虫:人类活动对疟疾传播的重要性以及我们可以为此做些什么。
Trends Parasitol. 2016 Oct;32(10):752-755. doi: 10.1016/j.pt.2016.07.004. Epub 2016 Aug 2.
10
A population genetic model for the initial spread of partially resistant malaria parasites under anti-malarial combination therapy and weak intrahost competition.一种关于部分抗性疟原虫在抗疟联合疗法及较弱宿主内竞争情况下初始传播的群体遗传模型。
PLoS One. 2014 Jul 9;9(7):e101601. doi: 10.1371/journal.pone.0101601. eCollection 2014.

引用本文的文献

1
Malaria risk factors in northern Namibia: The importance of occupation, age and mobility in characterizing high-risk populations.纳米比亚北部疟疾风险因素:职业、年龄和流动性在确定高危人群中的重要性。
PLoS One. 2021 Jun 25;16(6):e0252690. doi: 10.1371/journal.pone.0252690. eCollection 2021.
2
COVID-19 in malaria-endemic regions: potential consequences for malaria intervention coverage, morbidity, and mortality.疟疾流行地区的 COVID-19:对疟疾干预措施覆盖范围、发病率和死亡率的潜在影响。
Lancet Infect Dis. 2021 Jan;21(1):5-6. doi: 10.1016/S1473-3099(20)30763-5. Epub 2020 Sep 21.
3
Intermittent Preventive Treatment (IPT): Its Role in Averting Disease-Induced Mortality in Children and in Promoting the Spread of Antimalarial Drug Resistance.

本文引用的文献

1
On a reproductive stage-structured model for the population dynamics of the malaria vector.关于疟疾病媒种群动态的生殖阶段结构模型。
Bull Math Biol. 2014 Oct;76(10):2476-516. doi: 10.1007/s11538-014-0021-0. Epub 2014 Sep 19.
2
Persistent oscillations and backward bifurcation in a malaria model with varying human and mosquito populations: implications for control.具有变化的人类和蚊子种群的疟疾模型中的持续振荡和反向分岔:对控制的启示
J Math Biol. 2015 Jun;70(7):1581-622. doi: 10.1007/s00285-014-0804-9. Epub 2014 Jul 4.
3
The demographics of human and malaria movement and migration patterns in East Africa.
间歇预防治疗(IPT):在避免儿童因病死亡和促进抗疟药物耐药性传播方面的作用。
Bull Math Biol. 2019 Jan;81(1):193-234. doi: 10.1007/s11538-018-0524-1. Epub 2018 Oct 31.
4
The Impact of Antimalarial Use on the Emergence and Transmission of Plasmodium falciparum Resistance: A Scoping Review of Mathematical Models.抗疟药物使用对恶性疟原虫耐药性出现与传播的影响:数学模型的范围综述
Trop Med Infect Dis. 2017 Oct 15;2(4):54. doi: 10.3390/tropicalmed2040054.
5
Antimicrobial Resistance Risks of Cholera Prophylaxis for United Nations Peacekeepers.联合国维和人员霍乱预防措施的抗菌药物耐药性风险
Antimicrob Agents Chemother. 2017 Jul 25;61(8). doi: 10.1128/AAC.00026-17. Print 2017 Aug.
6
How could preventive therapy affect the prevalence of drug resistance? Causes and consequences.预防性治疗如何影响耐药性的流行?原因与后果。
Philos Trans R Soc Lond B Biol Sci. 2015 Jun 5;370(1670):20140306. doi: 10.1098/rstb.2014.0306.
东非的人口统计学和疟疾传播及迁徙模式。
Malar J. 2013 Nov 5;12:397. doi: 10.1186/1475-2875-12-397.
4
Quantifying the impact of human mobility on malaria.量化人类流动对疟疾的影响。
Science. 2012 Oct 12;338(6104):267-70. doi: 10.1126/science.1223467.
5
Periodic oscillations and backward bifurcation in a model for the dynamics of malaria transmission.疟疾传播动力学模型中的周期振荡和反向分岔
Math Biosci. 2012 Nov;240(1):45-62. doi: 10.1016/j.mbs.2012.06.003. Epub 2012 Jun 23.
6
Enhanced transmission of drug-resistant parasites to mosquitoes following drug treatment in rodent malaria.药物治疗后,抗药性寄生虫向蚊子的传播增强:鼠疟模型中的观察。
PLoS One. 2012;7(6):e37172. doi: 10.1371/journal.pone.0037172. Epub 2012 Jun 6.
7
Male fecundity and optimal gametocyte sex ratios for Plasmodium falciparum during incomplete fertilization.男性生育力和疟原虫不完全受精期间最佳配子体性别比。
J Theor Biol. 2012 Aug 21;307:183-92. doi: 10.1016/j.jtbi.2012.05.021. Epub 2012 May 31.
8
Survey for asymptomatic malaria cases in low transmission settings of Iran under elimination programme.伊朗消除规划下低传播地区无症状疟疾病例调查。
Malar J. 2012 Apr 25;11:126. doi: 10.1186/1475-2875-11-126.
9
The parasite clearance curve.寄生虫清除曲线。
Malar J. 2011 Sep 22;10:278. doi: 10.1186/1475-2875-10-278.
10
Mathematical models of malaria--a review.疟疾的数学模型——综述。
Malar J. 2011 Jul 21;10:202. doi: 10.1186/1475-2875-10-202.