Embedding risk monitoring in infectious disease surveillance for timely and effective outbreak prevention and control.

IF 7.1 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Brecht Ingelbeen, Esther van Kleef, Placide Mbala, Kostas Danis, Ivalda Macicame, Niel Hens, Eveline Cleynen, Marianne A B van der Sande
{"title":"Embedding risk monitoring in infectious disease surveillance for timely and effective outbreak prevention and control.","authors":"Brecht Ingelbeen, Esther van Kleef, Placide Mbala, Kostas Danis, Ivalda Macicame, Niel Hens, Eveline Cleynen, Marianne A B van der Sande","doi":"10.1136/bmjgh-2024-016870","DOIUrl":null,"url":null,"abstract":"<p><p>Epidemic intelligence efforts aim to predict, timely detect and assess (re-)emerging pathogens, guide and evaluate infectious disease prevention or control. We emphasise the underused potential of integrating the monitoring of risks related to exposure, disease or death, particularly in settings where limited diagnostic capacity and access to healthcare hamper timely prevention/control measures. Monitoring One Health exposures, human behaviour, immunity, comorbidities, uptake of control measures or pathogen characteristics can complement facility-based surveillance in generating signals of imminent or ongoing outbreaks, and in targeting preventive/control interventions or epidemic preparedness to high-risk areas or subpopulations. Low-cost risk data sources include electronic medical records, existing household/patient/environmental surveys, Health and Demographic Surveillance Systems, medicine distribution and programmatic data. Public health authorities need to identify and prioritise risk data that effectively fill gaps in intelligence that facility-based surveillance can not timely or accurately answer, determine indicators to generate from the data, ensure data availability, regular analysis and dissemination.</p>","PeriodicalId":9137,"journal":{"name":"BMJ Global Health","volume":"10 2","pages":""},"PeriodicalIF":7.1000,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11836831/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Global Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjgh-2024-016870","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Epidemic intelligence efforts aim to predict, timely detect and assess (re-)emerging pathogens, guide and evaluate infectious disease prevention or control. We emphasise the underused potential of integrating the monitoring of risks related to exposure, disease or death, particularly in settings where limited diagnostic capacity and access to healthcare hamper timely prevention/control measures. Monitoring One Health exposures, human behaviour, immunity, comorbidities, uptake of control measures or pathogen characteristics can complement facility-based surveillance in generating signals of imminent or ongoing outbreaks, and in targeting preventive/control interventions or epidemic preparedness to high-risk areas or subpopulations. Low-cost risk data sources include electronic medical records, existing household/patient/environmental surveys, Health and Demographic Surveillance Systems, medicine distribution and programmatic data. Public health authorities need to identify and prioritise risk data that effectively fill gaps in intelligence that facility-based surveillance can not timely or accurately answer, determine indicators to generate from the data, ensure data availability, regular analysis and dissemination.

将风险监测纳入传染病监测,以便及时有效地预防和控制疫情。
疫情情报工作旨在预测、及时发现和评估(再)出现的病原体,指导和评估传染病的预防或控制。我们强调综合监测与接触、疾病或死亡有关的风险的潜力未得到充分利用,特别是在诊断能力和获得医疗保健的机会有限,妨碍及时采取预防/控制措施的情况下。监测一种健康暴露、人类行为、免疫、合并症、采取控制措施或病原体特征,可以补充基于设施的监测,以产生即将或正在爆发的疾病的信号,并针对高危地区或亚人群采取预防/控制干预措施或做好流行病准备。低成本风险数据来源包括电子病历、现有家庭/病人/环境调查、健康和人口监测系统、药品分配和规划数据。公共卫生当局需要识别并优先处理风险数据,有效填补基于设施的监测无法及时或准确回答的情报空白,确定从数据产生的指标,确保数据的可用性、定期分析和传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMJ Global Health
BMJ Global Health Medicine-Health Policy
CiteScore
11.40
自引率
4.90%
发文量
429
审稿时长
18 weeks
期刊介绍: BMJ Global Health is an online Open Access journal from BMJ that focuses on publishing high-quality peer-reviewed content pertinent to individuals engaged in global health, including policy makers, funders, researchers, clinicians, and frontline healthcare workers. The journal encompasses all facets of global health, with a special emphasis on submissions addressing underfunded areas such as non-communicable diseases (NCDs). It welcomes research across all study phases and designs, from study protocols to phase I trials to meta-analyses, including small or specialized studies. The journal also encourages opinionated discussions on controversial topics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信