Evidence map›Paper›PMID 41480073›Full record

ArticleFrontiers in public health2025

Time series analysis and seasonality trends of SARS-CoV-2 in Ecuador (2020-2024): a four-year study.

Pablo Espinosa, Paulina Quirola-Amores, Saul Lema Asqui, Enrique Terán

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Pablo EspinosaUniversidad Internacional del Ecuador, Facultad de Ciencias de la Salud y la Vida, Escuela de Medicina, Grupo de Investigación Biomédico, Forense y Epidemiológico, Quito, Ecuador.
Paulina Quirola-AmoresInstituto Microbiología, Universidad San Francisco de Quito, Quito, Ecuador.
Saul Lema AsquiFacultad de Medicina, Universidad de las Américas, Quito, Ecuador.
Enrique TeránColegio de Ciencias de la Salud, Universidad San Francisco de Quito USFQ, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Since the appearance of SARS-CoV-2 in 2019, the virus has been characterized by rapid spread and has generated multiple variants, creating ongoing challenges to healthcare systems worldwide. In Ecuador, reported COVID-19 cases declined steadily after 2022, falling from 10,677 cases in 2022 to 1,910 in 2023 and 720 in 2024. Reported deaths also decreased sharply, limited to 30 reported deaths in 2024, mainly reflecting the impact of vaccination programs. Although the WHO has declared that COVID-19 is no longer a global pandemic, it remains a public health concern requiring ongoing surveillance. Understanding whether SARS-CoV-2 is transitioning toward a seasonal endemic pattern remains complex, given its evolutionary dynamics, diverse clinical forms, and population-level factors. This study aimed to forecast seasonal trends and potential endemicity of SARS-CoV-2 in Ecuador using reported surveillance data from 2020 to 2024. Methods: A time series analysis was conducted using the endemic channel approach with ARIMA (p, d, q)(P, D, Q)[m] modeling, based on data from the Ecuadorian Ministry of Public Health. Results: The results showed an upward trend peaking in 2022, followed by stabilization in 2024. Consistent seasonal peaks occurred at the beginning of each year, followed by a gradual decline throughout the year. The ARIMA (0,2,1)(0,0,1)[52] model, validated through white noise tests, generated forecasts indicating a continued decline in case numbers. Discussion: These findings suggest that SARS-CoV-2 in Ecuador is adopting a secular, seasonal transmission pattern, potentially moderated by vaccination coverage.

Indexed as

COVID-19SeasonsEcuadorHumansSARS-CoV-2ARIMAcase projectionCOVID-19EcuadorendemicSARS-CoV-2seasonalitytime series

Identifiers

PMID41480073
PMCPMC12753509

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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.