Evidence map›Paper›PMID 33464207›Full record

ArticleJournal of medical Internet research2021

SARS-CoV-2 Wave Two Surveillance in East Asia and the Pacific: Longitudinal Trend Analysis.

Lori Ann Post, Jasmine S Lin, Charles B Moss, Robert Leo Murphy, Michael G Ison, Chad J Achenbach, Danielle Resnick, Lauren Nadya 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

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  15. 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 Ann PostBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-6261-3254
Jasmine S LinFeinburg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-2478-1668
Charles B MossInstitute of Food and Agricultural Sciences, University of Florida, Gainsville, FL, United States.ORCID 0000-0002-1172-7112
Robert Leo MurphyInstitute for 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 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
Michael J BoctorFeinburg 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 had a profound global impact on governments, health care systems, economies, and populations around the world. Within the East Asia and Pacific region, some countries have mitigated the spread of the novel coronavirus effectively and largely avoided severe negative consequences, while others still struggle with containment. As the second wave reaches East Asia and the Pacific, it becomes more evident that additional SARS-CoV-2 surveillance is needed to track recent shifts, rates of increase, and persistence associated with the pandemic.

objectiveThe goal of this study is to provide advanced surveillance metrics for COVID-19 transmission that account for speed, acceleration, jerk, persistence, and weekly shifts, to better understand country risk for explosive growth and those countries who are managing the pandemic successfully. 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. We provide novel indicators to measure disease transmission.

methodsUsing a longitudinal trend analysis study design, we extracted 330 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in East Asia and the Pacific 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.

resultsThe standard surveillance metrics for Indonesia, the Philippines, and Myanmar were concerning as they had the largest new caseloads at 4301, 2588, and 1387, respectively. When looking at the acceleration of new COVID-19 infections, we found that French Polynesia, Malaysia, and the Philippines had rates at 3.17, 0.22, and 0.06 per 100,000. These three countries also ranked highest in terms of jerk at 15.45, 0.10, and 0.04, respectively.

conclusionsTwo of the most populous countries in East Asia and the Pacific, Indonesia and the Philippines, have alarming surveillance metrics. These two countries rank highest in new infections in the region. The highest rates of speed, acceleration, and positive upwards jerk belong to French Polynesia, Malaysia, and the Philippines, and may result in explosive growth. While all countries in East Asia and the Pacific need to be cautious about reopening their countries since outbreaks are likely to occur in the second wave of COVID-19, the country of greatest concern is the Philippines. Based on standard and enhanced surveillance, the Philippines has not gained control of the COVID-19 epidemic, which is particularly troubling because the country ranks 4th in population in the region. Without extreme and rigid social distancing, quarantines, hygiene, and masking to reverse trends, the Philippines will remain on the global top 5 list of worst COVID-19 outbreaks resulting in high morbidity and mortality. The second wave will only exacerbate existing conditions and increase COVID-19 transmissions.

Indexed as

Asia, EasternAsia, SoutheasternAustralasiaCOVID-19Health PolicyHumansIndonesiaLongitudinal StudiesMalaysiaPandemicsPhilippinesPolynesiaPublic HealthPublic Health SurveillanceRegistriesSARS-CoV-2Arellano-Bond estimatorAsian Pacific COVID-19 transmission accelerationAsian Pacific econometricsAsian Pacific SARS-CoV-2Asia Pacific COVID-19Asia Pacific public health surveillanceAsia Pacific surveillance metricsAustraliaBruneiCambodiaChinaCOVID-19COVID-19 7-day lagCOVID-19 transmission decelerationCOVID-19 transmission jerkdynamic panel dataEast Asian Pacific COVID-19 surveillance systemFijiFrench Polynesiageneralized method of momentsgeneralized method of the momentsglobal COVID-19 surveillanceGMMGuamIndonesiaJapanKiribatiLaosMalaysiaMongoliaMyanmarNew CaledoniaPacific Asian COVID-19 transmission speedPhilippinesSARS-CoV-2SARS-CoV-2 surveillancesecond wavewave 2wave two

Identifiers

PMID33464207
PMCPMC7857528
OpenAlexW3123739522

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.