Evidence map›Paper›PMID 38980961›Full record

ArticleInfluenza and other respiratory viruses2024

Variability in the Timing of Respiratory Syncytial Virus Epidemics in Guatemala, 2008-2018.

Sarah Hamid, Laura M Grajeda, Oscar de Leon, Maria Renee Lopez, Herberth Maldonado, Ana Beatriz Gomez, Benjamin Lopman, Thomas F Clasen, John P McCracken

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Sarah HamidDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-8164-0656
Laura M GrajedaCentro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala.
Oscar de LeonDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-1344-4412
Maria Renee LopezCentro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala.
Herberth MaldonadoCentro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala.ORCID 0000-0003-1964-1660
Ana Beatriz GomezCentro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala.
Benjamin LopmanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Thomas F ClasenDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
John P McCrackenCentro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala.

Funding

CGH CDC HHS U01 GH000028U.S. Centers for Disease Control and Prevention UO1 GH000028-02
6 · The paper itself

Abstract

backgroundThe description of local seasonality patterns in respiratory syncytial virus (RSV) incidence is important to guide the timing of administration of RSV immunization products.

methodsWe characterized RSV seasonality in Guatemala using the moving epidemic method (MEM) with absolute counts of RSV-associated acute respiratory infections (ARI) from hospital surveillance in Santa Rosa and Quetzaltenango departments of Guatemala.

resultsFrom Week 17 of 2008 through Week 16 of 2018, 8487 ARI cases tested positive for RSV by rRT-PCR. Season onsets varied up to 5 months; early seasons starting in late May to early August and finishing in September to November were most common, but late seasons starting in October to November and finishing in March to April were also observed. Both epidemic patterns had similar durations ranging from 4 to 6 months. Epidemic thresholds (the levels of virus activity that signal the onset and end of a seasonal epidemic) calculated prospectively using previous seasons' data captured between 70% and 99% of annual RSV detections. Onset weeks differed by 2-10 weeks, and offset weeks differed by 2-16 weeks between the two surveillance sites.

conclusionsVariability in the timing of seasonal RSV epidemics in Guatemala demonstrates the difficulty in precisely predicting the timing of seasonal RSV epidemics based on onset weeks from past seasons and suggests that maximal reduction in RSV disease burden would be achieved through year-round vaccination and immunoprophylaxis administration to at-risk infants.

Indexed as

EpidemicsRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsSeasonsChildChild, PreschoolFemaleGuatemalaHumansIncidenceInfantMaleRespiratory Tract InfectionsCentral Americarespiratory syncytial virus infectionsrespiratory tract diseasesseasons

Identifiers

PMID38980961
PMCPMC11232890

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Registered trials

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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.