ArticleScientific reports2020
Seasonal synchronization of foodborne outbreaks in the United States, 1996-2017.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Investigating seasonal patterns in enteric infections: a systematic review of time series methods.Epidemiology and infection · 2022Pooled it
- Heading toward a famine: modeling seasonality of malnutrition in Yemen, 2018-2023.Journal of public health policy · 2026Article
- Enhanced Bayesian Spline Regression Approach for Modelling Trends in Infections Caused by Pathogens Commonly Transmitted Through Food.Zoonoses (Shannon, Ireland) · 2026Article
- Mitigating airborne pathogen risks in a full-scale meat processing facility.Total environment microbiology · 2025Article
- Prevalence and Antimicrobial Resistance of Nontyphoidal Salmonella in Retail Meat in Puerto Rico: A Two-Year Study (2022-2023).Journal of food protection · 2025Article
- Identifying Key Drivers of Foodborne Diseases in Zhejiang, China: A Machine Learning Approach.Foods (Basel, Switzerland) · 2025Article
- Forecasting Foodborne Disease Risk Caused byFoods (Basel, Switzerland) · 2025Article
- Seasonal synchronization and unpredictability in epidemic models with waning immunity and healthcare thresholds.Scientific reports · 2025Article
- Phage-derived proteins: Advancing food safety through biocontrol and detection of foodborne pathogens.Comprehensive reviews in food science and food safety · 2025Review
- Diversity and antimicrobial susceptibility patterns of clinical and environmental Salmonella enterica serovars in Western Saudi Arabia.Folia microbiologica · 2024Article
- Food safety and dietary diversity in African urban cities: evidence from Ghana.BMC public health · 2024Article
- Using Wastewater Surveillance to Monitor Gastrointestinal Pathogen Infections in the State of Oklahoma.Microorganisms · 2023Article
- Trends in the Epidemiology of Non-Typhoidal Salmonellosis in Israel between 2010 and 2021.International journal of environmental research and public health · 2023Article
- Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity.International journal of environmental research and public health · 2023Article
- Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs.International statistical review = Revue internationale de statistique · 2022Article
- Food and Nutrition Systems Dashboards: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2022Article
- Exploring Risk Factors of Recall-Associated Foodborne Disease Outbreaks in the United States, 2009-2019.International journal of environmental research and public health · 2022Article
- Evaluating Completeness of Foodborne Outbreak Reporting in the United States, 1998-2019.International journal of environmental research and public health · 2022Article
- Signatures of Cholera Outbreak during the Yemeni Civil War, 2016-2019.International journal of environmental research and public health · 2021Article
- How Seasonality of Malnutrition Is Measured and Analyzed.International journal of environmental research and public health · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern food systems represent complex dynamic networks vulnerable to foodborne infectious outbreaks difficult to track and control. Seasonal co-occurrences (alignment of seasonal peaks) and synchronization (similarity of seasonal patterns) of infections are noted, yet rarely explored due to their complexity and methodological limitations. We proposed a systematic approach to evaluate the co-occurrence of seasonal peaks using a combination of L-moments, seasonality characteristics such as the timing (phase) and intensity (amplitude) of peaks, and three metrics of serial, phase-phase, and phase-amplitude synchronization. We used public records on counts of nine foodborne infections abstracted from CDC's FoodNet Fast online platform for the US and ten representative states from 1996 to 2017 (264 months). Based on annualized and trend-adjusted Negative Binomial Harmonic Regression (NBHR) models augmented with the δ-method, we determined that seasonal peaks of Campylobacter, Salmonella, and Shiga toxin-producing Escherichia Coli (STEC) were tightly clustered in late-July at the national and state levels. Phase-phase synchronization was observed between Cryptosporidium and Shigella, Listeria, and Salmonella (ρ = 0.51, 0.51, 0.46; p < 0.04). Later peak timing of STEC was associated with greater amplitude nationally (ρ = 0.50, p = 0.02) indicating phase-amplitude synchronization. Understanding of disease seasonal synchronization is essential for developing reliable outbreak forecasts and informing stakeholders on mitigation and preventive measures.
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.