Evidence map›Paper›PMID 30208044›Full record

ArticlePloS one2018

Improving wellbeing and reducing future world population.

William W Murdoch, Fang-I Chu, Allan Stewart-Oaten, Mark Q Wilber

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

William W MurdochDepartment of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, United States of America.ORCID 0000-0002-3576-4436
Fang-I ChuDepartment of Statistics and Applied Probability, University of California Santa Barbara, Santa Barbara, CA, United States of America.
Allan Stewart-OatenDepartment of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, United States of America.
Mark Q WilberDepartment of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, United States of America.ORCID 0000-0002-8274-8025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Almost 80% of the 4 billion projected increase in world population by 2100 comes from 37 Mid-African Countries (MACs), caused mostly by slow declines in Total Fertility Rate (TFR). Historically, TFR has declined in response to increases in wellbeing associated with economic development. We show that, when Infant Survival Rate (ISR, a proxy for wellbeing) has increased, MAC fertility has declined at the same rate, in relation to ISR, as it did in 61 comparable Other Developing Countries (ODCs) whose average fertility is close to replacement level. If MAC ISR were to increase at the historic rate of these ODCs, and TFR declined correspondingly, then the projected world population in 2100 would be decreasing and 1.1 billion lower than currently projected. Such rates of ISR increase, and TFR decrease, are quite feasible and have occurred in comparable ODCs. Increased efforts to improve the wellbeing of poor MAC populations are key.

Indexed as

Population GrowthSocial WelfareAfricaBirth RateDeveloping CountriesHumansInfantInfant Mortality

Identifiers

PMID30208044
PMCPMC6135380

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.