Evidence map›Paper›PMID 33619436›Full record

ArticleCognitive computation2021

4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach.

Khandaker Tabin Hasan, M Mostafizur Rahman, Md Mortuza Ahmmed, Anjir Ahmed Chowdhury, Mohammad Khairul Islam

Open access · bronzeAbstract read
In one paragraph

Article in Cognitive computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Khandaker Tabin HasanAmerican International University-Bangladesh, Dhaka, Bangladesh.ORCID 0000-0002-9849-5720
M Mostafizur RahmanAmerican International University-Bangladesh, Dhaka, Bangladesh.
Md Mortuza AhmmedAmerican International University-Bangladesh, Dhaka, Bangladesh.
Anjir Ahmed ChowdhuryAmerican International University-Bangladesh, Dhaka, Bangladesh.
Mohammad Khairul IslamAmerican International University-Bangladesh, Dhaka, Bangladesh.
American International University-Bangladesh · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Around the world, scientists are racing hard to understand how the COVID-19 epidemic is spreading and growing, thus trying to find ways to prevent it before medications are available. Many different models have been proposed so far correlating different factors. Some of them are too localized to indicate a general trend of the pandemic while some others have established transient correlations only. Hence, in this study, taking Bangladesh as a case, a 4P model has been proposed based on four probabilities (4P) which have been found to be true for all affected countries. Efficiency scores have been estimated from survey analysis not only for governing authorities on managing the situation (

Indexed as

4P modelCOVID-19Kinetics-modeling-fittingLSTMNon-linear exponential model

Identifiers

PMID33619436
PMCPMC7888531
OpenAlexW3110715446

What OpenQuestion holds

Textmetadata
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.