Evidence map›Paper›PMID 33302252›Full record

ArticleJournal of medical Internet research2021

SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis.

Lori Post, Emily Marogi, Charles B Moss, Robert Leo Murphy, Michael G Ison, Chad J Achenbach, Danielle Resnick, Lauren Singh, Janine White, Michael J Boctor and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

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  18. Has Omicron Changed the Evolution of the Pandemic?JMIR public health and surveillance · 2022
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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

12 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
Emily MarogiFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-8530-5599
Charles B MossInstitute of Food and Agricultural Sciences, University of Florida, Gainsville, FL, United States.ORCID 0000-0002-1172-7112
Robert Leo MurphyInsitute of Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-3936-2052
Michael G IsonDivision of Infectious Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-3347-9671
Chad J AchenbachDivision 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 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
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 disrupted the lives of millions and forced countries to devise public health policies to reduce the pace of transmission. In the Middle East and North Africa (MENA), falling oil prices, disparities in wealth and public health infrastructure, and large refugee populations have significantly increased the disease burden of COVID-19. In light of these exacerbating factors, public health surveillance is particularly necessary to help leaders understand and implement effective disease control policies to reduce SARS-CoV-2 persistence and transmission.

objectiveThe goal of this study is to provide advanced surveillance metrics, in combination with traditional surveillance, for COVID-19 transmission that account for weekly shifts in the pandemic speed, acceleration, jerk, and persistence to better understand a country's risk for explosive growth and to better inform those who are managing the pandemic. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed.

methodsUsing a longitudinal trend analysis study design, we extracted 30 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in MENA as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R.

resultsThe regression Wald statistic was significant (χ

conclusionsStatic and dynamic public health surveillance metrics provide a more complete picture of pandemic progression across countries in MENA. Static measures capture data at a given point in time such as infection rates and death rates. By including speed, acceleration, jerk, and 7-day persistence, public health officials may design policies with an eye to the future. Iran, Iraq, Saudi Arabia, and Israel all demonstrated the highest rate of infections, acceleration, jerk, and 7-day persistence, prompting public health leaders to increase prevention efforts.

Indexed as

Africa, NorthernCOVID-19HumansLongitudinal StudiesMiddle EastPandemicsPublic Health SurveillanceSARS-CoV-2AlgeriaArellano-Bond estimatorBahrainCOVID-19COVID-19 7-day lagCOVID-19 transmission decelerationCOVID-19 transmission jerkDjiboutidynamic panel dataEgyptgeneralized method of momentsglobal COVID-19 surveillanceGMMIranIraqIsraelJordanKuwaitLebanonLibyaMENA COVID-19MENA COVID-19 transmission accelerationMENA COVID-19 transmission speedMENA econometricsMENA public health surveillanceMENA SARS-CoV-2Middle East and North Africa COVID-19 surveillance systemMiddle East and North Africa surveillance metricsMoroccoOmanQatarSARS-CoV-2SARS-CoV-2 surveillanceSaudi Arabiasecond waveSyriaTunisiaUnited Arab Emirateswave twoYemen

Identifiers

PMID33302252
PMCPMC7813562
OpenAlexW3112988635

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.