ArticleEmerging infectious diseases2016
Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014-2015.
Article in Emerging infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Detection of Acute Hepatitis C Outbreaks in California Using SaTScan: Statewide Spatiotemporal Analysis.JMIR public health and surveillance · 2026Article
- CalCORVID: a dynamic RShiny dashboard approach to visualize spatiotemporal clusters for public health surveillance.BMC public health · 2026Article
- Scorpionism in Brazil: Space-time approach and risk areas in 2012 to 2024.PLoS neglected tropical diseases · 2025Article
- Applying prospective tree-temporal scan statistics to genomic surveillance data to detect emerging SARS-CoV-2 variants and salmonellosis clusters in New York City.International journal of epidemiology · 2025Article
- SymptomaticOpen forum infectious diseases · 2024Article
- Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study.JMIR public health and surveillance · 2024Article
- Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks.JMIR public health and surveillance · 2024Article
- Characterizing opioid overdose hotspots for place-based overdose prevention and treatment interventions: A geo-spatial analysis of Rhode Island, USA.The International journal on drug policy · 2024Article
- A Broad Safety Assessment of the Recombinant Herpes Zoster Vaccine.American journal of epidemiology · 2022Article
- Development and Evaluation of Statewide Prospective Spatiotemporal Legionellosis Cluster Surveillance, New Jersey, USA.Emerging infectious diseases · 2022Article
- Article
- Detection of COVID-19 case clusters in Québec, May-October 2020.Canadian journal of public health = Revue canadienne de sante publique · 2021Article
- Spatiotemporal Dynamics of Sporadic Shiga Toxin-Producing Escherichia coli Enteritis, Ireland, 2013-2017.Emerging infectious diseases · 2021Article
- The US COVID Atlas: A dynamic cyberinfrastructure surveillance system for interactive exploration of the pandemic.Transactions in GIS : TG · 2021Article
- Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June-July 2020.Emerging infectious diseases · 2021Article
- Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada.F1000Research · 2021Article
- Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning.International journal of medical informatics · 2020Article
- Automated outbreak detection of hospital-associated pathogens: Value to infection prevention programs.Infection control and hospital epidemiology · 2020Article
- Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States.Spatial and spatio-temporal epidemiology · 2020Article
- Salmonellosis Outbreak Detected by Automated Spatiotemporal Analysis - New York City, May-June 2019.MMWR. Morbidity and mortality weekly report · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Each day, the New York City Department of Health and Mental Hygiene uses the free SaTScan software to apply prospective space-time permutation scan statistics to strengthen early outbreak detection for 35 reportable diseases. This method prompted early detection of outbreaks of community-acquired legionellosis and shigellosis.
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.