ArticlePLoS computational biology2019
Efficient sentinel surveillance strategies for preventing epidemics on networks.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 39 citations in OpenAlex.
- Contagion-preserving compression for multiscale epidemic modeling.Science advances · 2026Article
- Modelling plant disease spread via high-resolution human mobility networks.Journal of the Royal Society, Interface · 2026Article
- Silent reservoir species are shaping the emergence of Usutu virus.Nature ecology & evolution · 2026Article
- Surveillance of infectious diseases spreading on time-varying multiplex networks.Infectious Disease Modelling · 2026Article
- Hotspot-based integrated serosurveillance of neglected tropical diseases, malaria, and vaccine-preventable diseases in urban Guyana.Revista panamericana de salud publica = Pan American journal of public health · 2026Article
- An integrated framework for modelling respiratory disease transmission and designing surveillance networks using a sentinel index.Royal Society open science · 2025Article
- Allocating limited surveillance effort for outbreak detection of endemic foot and mouth disease.PLoS computational biology · 2025Article
- The impact of signal variability on COVID-19 epidemic growth rate estimation from wastewater surveillance data.PloS one · 2025Article
- A One Health framework for exploring zoonotic interactions demonstrated through a case study.Nature communications · 2024Article
- Infection patterns in simple and complex contagion processes on networks.PLoS computational biology · 2024Article
- Article
- Sentinel surveillance of SARS-CoV-2 rates and equity impacts using labor and delivery patients in Phoenix, Arizona.Preventive medicine reports · 2022Article
- Cattle transport network predicts endemic and epidemic foot-and-mouth disease risk on farms in Turkey.PLoS computational biology · 2022Article
- Sentinel Surveillance Contributes to Tracking Lyme Disease Spatiotemporal Risk Trends in Southern Quebec, Canada.Pathogens (Basel, Switzerland) · 2022Article
- Enhanced Sentinel Surveillance System for COVID-19 Outbreak Prediction in a Large European Dialysis Clinics Network.International journal of environmental research and public health · 2021Article
- Outbreak detection for temporal contact data.Applied network science · 2021Article
- Optimising risk-based surveillance for early detection of invasive plant pathogens.PLoS biology · 2020Article
- Community Health Centers and Sentinel Surveillance of Human Trafficking in the United States.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surveillance plays a crucial role in preventing emerging infectious diseases from becoming epidemic. In circumstances where it is possible to monitor the infection status of certain people, transport hubs, or hospitals, early detection of the disease allows interventions to be implemented before most of the damage can occur, or at least its impact can be mitigated. This paper addresses the question of which nodes we should select in a network of individuals susceptible to some infectious disease in order to minimize the number of casualties. By simulating disease outbreaks on a collection of empirical and synthetic networks we show that the best strategy depends on topological characteristics of the network. For highly modular or spatially embedded networks it is better to place the sentinels on nodes distributed across different regions. However, if the degree heterogeneity is high, then a strategy that targets network hubs is preferred. We further consider the consequences of having an incomplete sample of the network and demonstrate that the value of new information diminishes as more data is collected. Finally we find further marginal improvements using two heuristics informed by known results in graph theory that exploit the fragmented structure of sparse network data.
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Registered trials
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.