Evidence map›Paper›PMID 41023864›Full record

ArticleBMC infectious diseases2025

Modeling COVID-19 pneumonia and COVID-associated pulmonary aspergillosis: sensitivity analysis and optimal control.

Mallela Ankamma Rao, Emad K Jaradat, Medisetty Padma Devi, Prasantha Bharathi Dhandapani, Rebecca Muhumuza Nalule, Mohannad Al-Hmoud

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2025. 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. Review
  2. Article
  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

6 authors.

Mallela Ankamma RaoDepartment of Mathematics & Statistics, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Yadadri, Bhuvanagiri, Telangana, 508284, India.
Emad K JaradatDepartment of Physics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia.
Medisetty Padma DeviDepartment of Mathematics & Statistics, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Vadlamudi, Guntur, Andhra Pradesh, 522213, India.
Prasantha Bharathi DhandapaniDepartment of Mathematics, Sri Eshwar College of Engineering, Coimbatore, 641 202, Tamil Nadu, India.
Rebecca Muhumuza NaluleDepartment of Mathematics, Busitema University, Tororo, 236, Uganda. rnalule.sci@busitema.ac.ug.
Mohannad Al-HmoudDepartment of Physics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia.

Funding

Deanship of Scientific Research, Imam Mohammed Ibn Saud Islamic University IMSIU-DDRSP2502
6 · The paper itself

Abstract

Severe cases of COVID-19 can progress to pneumonia and, in some patients, to COVID-19-associated pulmonary aspergillosis (CAPA), a fungal co-infection linked to high mortality. Most existing models address COVID-19 transmission alone, without explicitly capturing the sequential progression to pneumonia and CAPA. To address this gap, we develop a novel compartmental model (SII

Indexed as

COVID-19Pulmonary AspergillosisCoinfectionHospitalizationHumansIndiaSARS-CoV-2CAPACOVID-19 pneumoniaModel calibrationOptimal controlSensitivity analysis

Identifiers

PMID41023864
PMCPMC12481775

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.