Evidence map›Paper›PMID 33619461›Full record

ArticleInfectious Disease Modelling2021

Mathematical modeling of COVID-19 epidemic with effect of awareness programs.

Salihu Sabiu Musa, Sania Qureshi, Shi Zhao, Abdullahi Yusuf, Umar Tasiu Mustapha, Daihai He

Open access · goldAbstract read
In one paragraph

Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
12.0field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 147 citations in OpenAlex.

  1. Article
  2. ModelingInfectious Disease Modelling · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A mathematical model for the co-dynamics of COVID-19 and tuberculosis.Mathematics and computers in simulation · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. On the Duration of an Epidemic.Differential equations and dynamical systems · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 5 institutions in 6 countries.

Salihu Sabiu MusaDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Sania QureshiDepartment of Basic Sciences and Related Studies, Mehran University of Engr. & Tech., Jamshoro, Pakistan.
Shi ZhaoJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Abdullahi YusufDepartment of Computer Engineering, Biruni University, Istanbul, Turkey.
Umar Tasiu MustaphaDepartment of Mathematics, Science Faculty, Federal University Dutse, Jigawa, Nigeria.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Hong Kong Polytechnic University · HKBiruni University · TRChinese University of Hong Kong · HKFederal University DutseMehran University of Engineering and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is a novel virus that emerged in China in late 2019 and caused a pandemic of coronavirus disease 2019 (COVID-19). The epidemic has largely been controlled in China since March 2020, but continues to inflict severe public health and socioeconomic burden in other parts of the world. One of the major reasons for China's success for the fight against the epidemic is the effectiveness of its health care system and enlightenment (awareness) programs which play a vital role in the control of the COVID-19 pandemic. Nigeria is currently witnessing a rapid increase of the epidemic likely due to its unsatisfactory health care system and inadequate awareness programs. In this paper, we propose a mathematical model to study the transmission dynamics of COVID-19 in Nigeria. Our model incorporates awareness programs and different hospitalization strategies for mild and severe cases, to assess the effect of public awareness on the dynamics of COVID-19 infection. We fit the model to the cumulative number of confirmed COVID-19 cases in Nigeria from 29 March to 12 June 2020. We find that the epidemic could increase if awareness programs are not properly adopted. We presumed that the effect of awareness programs could be estimated. Further, our results suggest that the awareness programs and timely hospitalization of active cases are essential tools for effective control and mitigation of COVID-19 pandemic in Nigeria and beyond. Finally, we perform sensitive analysis to point out the key parameters that should be considered to effectively control the epidemic.

Indexed as

COVID-19EpidemicMathematical modelingPublic awarenessReproduction number

Identifiers

PMID33619461
PMCPMC7889444
OpenAlexW3132190076

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.