Evidence map›Paper›PMID 38312350›Full record

ArticleInfectious Disease Modelling2024

Assessing the impact of booster vaccination on diphtheria transmission: Mathematical modeling and risk zone mapping.

Ilham Saiful Fauzi, Nuning Nuraini, Ade Maya Sari, Imaniah Bazlina Wardani, Delsi Taurustiati, Purnama Magdalena Simanullang, Bony Wiem Lestari

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Ilham Saiful FauziDepartment of Accounting, Politeknik Negeri Malang, Malang, Indonesia.
Nuning NurainiDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, Indonesia.
Ade Maya SariDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, Indonesia.
Imaniah Bazlina WardaniStudy Program of Biology Education, Faculty of Education and Teacher Training, UIN Kiai Haji Achmad Siddiq Jember, Jember, Indonesia.
Delsi TaurustiatiWest Java Provincial Health Office, West Java, Indonesia.
Purnama Magdalena SimanullangWest Java Provincial Health Office, West Java, Indonesia.
Bony Wiem LestariDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic caused significant disruptions in the healthcare system, affecting vaccinations and the management of diphtheria cases. As a consequence of these disruptions, numerous countries have experienced a resurgence or an increase in diphtheria cases. West Java province in Indonesia is identified as one of the high-risk areas for diphtheria, experiencing an upward trend in cases from 2021 to 2023. To analyze the situation, we developed an SIR model, which integrated DPT and booster vaccinations to determine the basic reproduction number, an essential parameter for infectious diseases. Through spatial analysis of geo-referenced data, we identified hotspots and explained diffusion in diphtheria case clusters. The calculation of

Indexed as

00–0199-00DiphtheriaHot spot analysisMathematical modelingSIR modelVaccination

Identifiers

PMID38312350
PMCPMC10837633

What OpenQuestion holds

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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.