Evidence map›Paper›PMID 39530856›Full record

ArticleEmerging infectious diseases2024

Respiratory Disease Surveillance in the Middle East and Latin America during the COVID-19 Pandemic, 2020-2022.

Yeny O Tinoco, Tamer S Osman, Julia S Ampuero, Mahmoud Gazo, Victor Ocaña, Edward Chávez, Marianela Ore, Elizabeth Carrillo, Jose Santa Cruz, Carlos Delgado and 21 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

31 authors.

Yeny O Tinoco
Tamer S Osman
Julia S Ampuero
Mahmoud Gazo
Victor Ocaña
Edward Chávez
Marianela Ore
Elizabeth Carrillo
Jose Santa Cruz
Carlos Delgado
Carlos Alvarez
Rommell Gonzalez
Marina S Gonzalez
Doris Gómez
Maria E Arango
Javier Jaramillo
Juan M Pascale
Nicolas Aguayo
Daniel Olson
Kareen Arias
Miguel M Cabada
William D Graham
Tyler D Moeller
Mohammad Alhawarat
Moutasium Hossinate
Fatima Thneibat
Mohammad Maayeh
Bassem A Hamdy
Omar Nowar
Samuel Y Levin
Mayar M Said

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the epidemiology of circulating respiratory pathogens during the COVID-19 pandemic could clarify the burden of acute respiratory infections and monitor outbreaks of public health and military relevance. The US Department of Defense supported 2 regions for influenza-like illness and severe acute respiratory infections surveillance, one in the Middle East through US Naval Medical Research Unit EURAFCENT, and another in Latin America through US Naval Medical Research Unit SOUTH. During 2020‒2022, coinciding with the COVID-19 pandemic, we collected a total of 16,146 nasopharyngeal and oropharyngeal swab samples from sentinel sites in Jordan (n = 11,305) and Latin America (n = 4,841). Samples were tested for SARS-CoV-2, influenza, and other respiratory pathogens. SARS-CoV-2 was the most frequently detected pathogen during 2020; other respiratory pathogens had distinct temporal and frequency distributions according to geographic location. Our findings support the need for continued sentinel surveillance as a vital tool for assessing the burden of respiratory diseases globally.

Indexed as

COVID-19SARS-CoV-2AdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantInfant, NewbornLatin AmericaMaleMiddle AgedMiddle EastNasopharynxCOVID-19influenzaLatin AmericaMiddle Eastrespiratory infectionsSARS-CoV-2severe acute respiratory syndrome coronavirus 2surveillanceviruseszoonoses

Identifiers

PMID39530856
PMCPMC11559572

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.