ArticleNature communications2021
Optimizing respiratory virus surveillance networks using uncertainty propagation.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Stage-aware deep learning with adversarial data synthesis enables prospective season-scale A/H1N1 influenza forecasting in China.Infectious Disease Modelling · 2027Article
- Multisource Early Warning Framework Integrating Regional Pathogen Surveillance and Baidu Index Data for Respiratory Infectious Disease Prediction in Beijing: Retrospective Time-Series Modeling Study.JMIR formative research · 2026Article
- Learning shared forecast-error structure to improve ensemble forecasts of seasonal respiratory outbreaks.medRxiv : the preprint server for health sciences · 2026Article
- Reconstructing the early spatial spread of pandemic respiratory viruses in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Reconstructing the early spatial spread of pandemic respiratory viruses in the United States.medRxiv : the preprint server for health sciences · 2025Article
- Epidemiological Assessment and Optimization of School-Based Influenza Vaccination - Shenzhen City, Guangdong Province, China, 2023-2024.China CDC weekly · 2025Article
- Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data.American journal of epidemiology · 2025Article
- Balancing Human Mobility and Health Care Coverage in Sentinel Surveillance of Brazilian Indigenous Areas: Mathematical Optimization Approach.JMIR public health and surveillance · 2025Article
- Behavior-driven forecasts of neighborhood-level COVID-19 spread in New York City.PLoS computational biology · 2025Article
- Pandemic monitoring with global aircraft-based wastewater surveillance networks.Nature medicine · 2025Article
- Information-guided adaptive learning approach for active surveillance of infectious diseases.Infectious Disease Modelling · 2025Article
- Respiratory Virus Vaccines: Pathways to Recommendations and Enhanced Coverage for At-Risk Populations.Infectious diseases and therapy · 2025Article
- Toward optimal disease surveillance with graph-based active learning.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Biases in Routine Influenza Surveillance Indicators Used to Monitor Infection Incidence and Recommendations for Improvement.Influenza and other respiratory viruses · 2024Article
- Nowcasting and Forecasting Seasonal Influenza Epidemics - China, 2022-2023.China CDC weekly · 2023Article
- Inference of transmission dynamics and retrospective forecast of invasive meningococcal disease.PLoS computational biology · 2023Article
- Ensemble inference of unobserved infections in networks using partial observations.PLoS computational biology · 2023Article
- Global age-structured spatial modeling for emerging infectious diseases like COVID-19.PNAS nexus · 2023Article
- Evaluating the impact of stay-at-home and quarantine measures on COVID-19 spread.BMC infectious diseases · 2022Article
- An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China.PLoS computational biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Infectious disease prevention, control and forecasting rely on sentinel observations; however, many locations lack the capacity for routine surveillance. Here we show that, by using data from multiple sites collectively, accurate estimation and forecasting of respiratory diseases for locations without surveillance is feasible. We develop a framework to optimize surveillance sites that suppresses uncertainty propagation in a networked disease transmission model. Using influenza outbreaks from 35 US states, the optimized system generates better near-term predictions than alternate systems designed using population and human mobility. We also find that monitoring regional population centers serves as a reasonable proxy for the optimized network and could direct surveillance for diseases with limited records. The proxy method is validated using model simulations for 3,108 US counties and historical data for two other respiratory pathogens - human metapneumovirus and seasonal coronavirus - from 35 US states and can be used to guide systemic allocation of surveillance efforts.
Indexed as
Identifiers
What OpenQuestion holds
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.