Evidence map›Paper›PMID 32085630›Full record

ArticleInternational journal of environmental research and public health2020

Assessing Seasonality Variation with Harmonic Regression: Accommodations for Sharp Peaks.

Kavitha Ramanathan, Mani Thenmozhi, Sebastian George, Shalini Anandan, Balaji Veeraraghavan, Elena N Naumova, Lakshmanan Jeyaseelan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Could seasonal patterns in ECT use impact service delivery? A nationwide study.International journal of mental health systems · 2026
    Article
  4. Out-of-Hospital Cardiac Arrest Ambulance Delay Zones and AED Placement in a Southern Brazilian City.International journal of environmental research and public health · 2025
    Article
  5. Article
  6. Significant Turning Point: Common Buzzard (Environmental science & technology · 2024
    Article
  7. Occurrence ofVeterinary world · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. How Seasonality of Malnutrition Is Measured and Analyzed.International journal of environmental research and public health · 2021
    Review
  15. Article
  16. Effects of Data Aggregation on Time Series Analysis of Seasonal Infections.International journal of environmental research and public health · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kavitha RamanathanDepartment of Biostatistics, Christian Medical College, Vellore 632002, India.
Mani ThenmozhiDepartment of Biostatistics, Christian Medical College, Vellore 632002, India.
Sebastian GeorgeDepartment of Statistics, St. Thomas College, Palai, Kerala 686575, India.
Shalini AnandanDepartment of Clinical Microbiology, Christian Medical College, Vellore 632004, India.
Balaji VeeraraghavanDepartment of Clinical Microbiology, Christian Medical College, Vellore 632004, India.
Elena N NaumovaFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA.ORCID 0000-0002-9562-4734
Lakshmanan JeyaseelanDepartment of Biostatistics, Christian Medical College, Vellore 632002, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of the harmonic regression model is well accepted in the epidemiological and biostatistical communities as a standard procedure to examine seasonal patterns in disease occurrence. While these models may provide good fit to periodic patterns with relatively symmetric rises and falls, for some diseases the incidence fluctuates in a more complex manner. We propose a two-step harmonic regression approach to improve the model fit for data exhibiting sharp seasonal peaks. To capture such specific behavior, we first build a basic model and estimate the seasonal peak. At the second step, we apply an extended model using sine and cosine transform functions. These newly proposed functions mimic a quadratic term in the harmonic regression models and thus allow us to better fit the seasonal spikes. We illustrate the proposed method using actual and simulated data and recommend the new approach to assess seasonality in a broad spectrum of diseases manifesting sharp seasonal peaks.

Indexed as

SeasonsBiostatisticsCommunicable DiseasesIncidenceARIMA/SARIMAharmonic regressioninfectious diseaseseasonalitytime seriestrends

Identifiers

PMID32085630
PMCPMC7068504

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.