Evidence map›Paper›PMID 33852413›Full record

ArticleJMIR public health and surveillance2021

Latin America and the Caribbean SARS-CoV-2 Surveillance: Longitudinal Trend Analysis.

Lori Post, Ramael O Ohiomoba, Ashley Maras, Sean J Watts, Charles B Moss, Robert Leo Murphy, Michael G Ison, Chad J Achenbach, Danielle Resnick, Lauren Nadya Singh and 5 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
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  10. Has Omicron Changed the Evolution of the Pandemic?JMIR public health and surveillance · 2022
    Article
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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

15 authors at 3 institutions in 1 country.

Lori PostBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-6261-3254
Ramael O OhiomobaFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-2021-2804
Ashley MarasFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-9742-0436
Sean J WattsFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-9624-2690
Charles B MossInstitute of Food and Agricultural Sciences, University of Florida, Gainsville, FL, United States.ORCID 0000-0002-1172-7112
Robert Leo MurphyInstitute of Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-3936-2052
Michael G IsonDivison of Infectious Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-3347-9671
Chad J AchenbachDivison of Infectious Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-4847-7249
Danielle ResnickInternational Food Policy Research Institute, Washington DC, DC, United States.ORCID 0000-0001-6285-3461
Lauren Nadya SinghBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-7025-9614
Janine WhiteBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-7204-477X
Azraa S ChaudhuryFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-1977-8205
Michael J BoctorFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-9268-8417
Sarah B WelchBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-5609-3718
James Francis OehmkeBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-2003-3443
Northwestern University · USInternational Food Policy Research Institute · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has placed unprecedented stress on economies, food systems, and health care resources in Latin America and the Caribbean (LAC). Existing surveillance provides a proxy of the COVID-19 caseload and mortalities; however, these measures make it difficult to identify the dynamics of the pandemic and places where outbreaks are likely to occur. Moreover, existing surveillance techniques have failed to measure the dynamics of the pandemic.

objectiveThis study aimed to provide additional surveillance metrics for COVID-19 transmission to track changes in the speed, acceleration, jerk, and persistence in the transmission of the pandemic more accurately than existing metrics.

methodsThrough a longitudinal trend analysis, we extracted COVID-19 data over 45 days from public health registries. We used an empirical difference equation to monitor the daily number of cases in the LAC as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. COVID-19 transmission rates were tracked for the LAC between September 30 and October 6, 2020, and between October 7 and 13, 2020.

resultsThe LAC saw a reduction in the speed, acceleration, and jerk for the week of October 13, 2020, compared to the week of October 6, 2020, accompanied by reductions in new cases and the 7-day moving average. For the week of October 6, 2020, Belize reported the highest acceleration and jerk, at 1.7 and 1.8, respectively, which is particularly concerning, given its high mortality rate. The Bahamas also had a high acceleration at 1.5. In total, 11 countries had a positive acceleration during the week of October 6, 2020, whereas only 6 countries had a positive acceleration for the week of October 13, 2020. The TAC displayed an overall positive trend, with a speed of 10.40, acceleration of 0.27, and jerk of -0.31, all of which decreased in the subsequent week to 9.04, -0.81, and -0.03, respectively.

conclusionsMetrics such as new cases, cumulative cases, deaths, and 7-day moving averages provide a static view of the pandemic but fail to identify where and the speed at which SARS-CoV-2 infects new individuals, the rate of acceleration or deceleration of the pandemic, and weekly comparison of the rate of acceleration of the pandemic indicate impending explosive growth or control of the pandemic. Enhanced surveillance will inform policymakers and leaders in the LAC about COVID-19 outbreaks.

Indexed as

Public Health SurveillanceCaribbean RegionCOVID-19HumansLatin AmericaLongitudinal Studies7-day persistenceaccelerationArellano–Bond estimatorCOVID-19COVID-19 surveillance systemdynamic panel dataeconometricseconomicgeneralized method of momentsglobal COVID-19 surveillanceLatin America and the Caribbeanlongitudinalmetricpersistencepolicypublic health surveillanceSARS-CoV-2second wavesurveillance metricstransmission decelerationtransmission jerktransmission speedtrend analysis

Identifiers

PMID33852413
PMCPMC8083950
OpenAlexW3155602756

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.