Evidence map›Paper›PMID 37541483›Full record

ArticleMathematical biosciences2023

Stationary status of discrete and continuous age-structured population models.

Arni S R Srinivasa Rao, James R Carey

Abstract read
In one paragraph

Article in Mathematical biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Arni S R Srinivasa RaoLaboratory for Theory and Mathematical Modeling, Division of Infectious Diseases-Department of Medicine, Medical College of Georgia, Augusta, GA 30912, USA; Department of Mathematics, Augusta University, Georgia, GA 30912, USA. Electronic address: arrao@augusta.edu.
James R CareyDepartment of Entomology, University of California, Davis, CA 95617, USA; Center for the Economics and Demography of Aging, University of California, Berkeley, CA 94720, USA. Electronic address: jrcarey@ucdavis.edu.

Funding

Program Development (Pilot)P30AG012839 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI Magali Barbieri · 1999 to 2026
$18.6M
NIA NIH HHS P30 AG012839
6 · The paper itself

Abstract

From Leonhard Euler to Alfred Lotka and in recent years understanding the stationary process of the human population has been of central interest to scientists. Population reproductive measure NRR (net reproductive rate) has been widely associated with measuring the status of population stationarity and it is also included as one of the measures in the millennium development goals. This article argues how the partition theorem-based approach provides more up-to-date and timely measures to find the status of the population stationarity of a country better than the NRR-based approach. We question the timeliness of the value of NRR in deciding the stationary process of the country. We prove associated theorems on discrete and continuous age distributions and derive measurable functional properties. The partitioning metric captures the underlying age structure dynamic of populations at or near stationarity. As the population growth rates for an ever-increasing number of countries trend towards replacement levels and below, new demographic concepts and metrics are needed to better characterize this emerging global demography.

Indexed as

Population GrowthReproductionHumansPopulation DynamicsConvergence to stationary levelDemographyLebesgue measureNet-reproduction ratePartitioning

Identifiers

PMID37541483
PMCPMC10685904

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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.