Evidence map›Paper›PMID 32027879›Full record

ArticleTheoretical population biology2020

Influence of demographically-realistic mortality schedules on vaccination strategies in age-structured models.

Zhilan Feng, Yejuan Feng, John W Glasser

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Theoretical population biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Mathematical epidemiology for a later age.Theoretical population biology · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Zhilan FengDepartment of Mathematics, Purdue University, West Lafayette, IN, USA; Division of Mathematical Sciences, National Science Foundation, Alexandria, VA, USA.
Yejuan FengSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing, PR China.
John W GlasserNational Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, USA. Electronic address: jglasser@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Because demographic realism complicates analysis, mathematical modelers either ignore demography or make simplifying assumptions (e.g., births and deaths equal). But human populations differ demographically, perhaps most notably in their mortality schedules. We developed an age-stratified population model with births, deaths, aging and mixing between age groups. The model includes types I and II mortality as special cases. We used the gradient approach (Feng et al., 2015, 2017) to explore the impact of mortality patterns on optimal strategies for mitigating vaccine-preventable diseases such as measles and rubella, which the international community has targeted for eradication. Identification of optimal vaccine allocations to reduce the effective reproduction number R

Indexed as

MeaslesBasic Reproduction NumberHumansMathematicsVaccinationAge-structured epidemiological modelNon-random mixingOptimal vaccination strategiesRealistic demographics

Identifiers

PMID32027879
PMCPMC9271362

What OpenQuestion holds

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LicenceTDM
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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.