TY - JOUR
T1 - Embedding risk monitoring in infectious disease surveillance for timely and effective outbreak prevention and control
AU - Ingelbeen, Brecht
AU - van Kleef, Esther
AU - Mbala, Placide
AU - Danis, Kostas
AU - Macicame, Ivalda
AU - Hens, Niel
AU - Cleynen, Eveline
AU - van der Sande, Marianne A B
N1 - Publisher Copyright:
© 2025 BMJ Publishing Group. All rights reserved.
PY - 2025/2/17
Y1 - 2025/2/17
N2 - 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.
AB - 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.
KW - Control strategies
KW - Decision Making
KW - Epidemiology
KW - Infections, diseases, disorders, injuries
UR - http://www.scopus.com/inward/record.url?scp=85218622642&partnerID=8YFLogxK
U2 - 10.1136/bmjgh-2024-016870
DO - 10.1136/bmjgh-2024-016870
M3 - Article
C2 - 39961690
SN - 2059-7908
VL - 10
JO - BMJ global health
JF - BMJ global health
IS - 2
M1 - e016870
ER -