Evidence map›Paper›PMID 33363080›Full record

ArticleFrontiers in public health2020

Potential Effects of the COVID-19 Pandemic on Future Birth Rate.

Md Asad Ullah, Abu Tayab Moin, Yusha Araf, Atiqur Rahman Bhuiyan, Mark D Griffiths, David Gozal

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
26.2field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 114 citations in OpenAlex.

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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

6 authors at 5 institutions in 3 countries.

Md Asad UllahDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Dhaka, Bangladesh.
Abu Tayab MoinDepartment of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh.
Yusha ArafDepartment of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Atiqur Rahman BhuiyanDepartment of Microbiology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh.
Mark D GriffithsInternational Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, United Kingdom.
David GozalDepartment of Child Health, MU Women's and Children's Hospital, University of Missouri School of Medicine, Columbia, MO, United States.
University of Chittagong · BDJahangirnagar University · BDNottingham Trent University · GBShahjalal University of Science and Technology · BDUniversity of Missouri Women's and Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we examine the potential effect of the COVID-19 pandemic on future birth rates. This highly contagious disease originated in China, and rapidly spread worldwide, leading to extensive lockdown policies being implemented globally with the aim of containing the infection rates and its serious attendant consequences. Based on previous extant literature, this paper overviews the potential demographic consequences of the current progressively widespread epidemic on conception and fertility as driven by the data obtained during similar prior incidents. In general, epidemics manifest a common pattern as far as their impact on population, which is remarkably similar to natural disasters, i.e., a steep decline in birth rates followed by gradual increases and then followed by a baby boom. Additionally, we have also depicted how economic conditions, mental health, fear, and mortality may also influence future birth rates.

Indexed as

Birth RateFertilityForecastingChinaCOVID-19HumansSARS-CoV-2Socioeconomic FactorsUnemploymentbirth rateCOVID-19demographyfertilitypandemic

Identifiers

PMID33363080
PMCPMC7758229
OpenAlexW3110847465

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.