Evidence map›Paper›PMID 33747118›Full record

ArticleComputational and mathematical methods in medicine2021

Hand, Foot, and Mouth Disease in Thailand: A Comprehensive Modelling of Epidemic Dynamics.

Suraj Verma, M A Razzaque, U Sangtongdee, C Arpnikanondt, B Tassaneetrithep, D Arthan, C Paratthakonkun, N Soonthornworasiri

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

8 authors.

Suraj VermaSchool of Computing, Engineering & Digital Technologies, Teesside University, Southfield Rd, Middlesbrough, UK.ORCID https://orcid.org/0000-0002-9684-0885
M A RazzaqueSchool of Computing, Engineering & Digital Technologies, Teesside University, Southfield Rd, Middlesbrough, UK.ORCID https://orcid.org/0000-0002-5572-057X
U SangtongdeeSchool of Computing, Engineering & Digital Technologies, Teesside University, Southfield Rd, Middlesbrough, UK.
C ArpnikanondtKing Mongkut's University of Technology Thonburi, Bangkok, Thailand.
B TassaneetrithepCenter of Research Excellence in Immunoregulation, Research Department, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand.
D ArthanDepartment of Tropical Nutrition and Food Science, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
C ParatthakonkunCollege of Sports Science and Technology, Mahidol University, Nakhon Pathom, Thailand.
N SoonthornworasiriDepartment of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hand, foot, and mouth disease (HFMD) is a highly contagious disease with several outbreaks in Asian-Pacific countries, including Thailand. With such epidemic characteristics and potential economic impact, HFMD is a significant public health issue in Thailand. Generally, contagious/infectious diseases' transmission dynamics vary across geolocations due to different socioeconomic situations, demography, and lifestyles. Hence, a nationwide comprehensive model of the disease's epidemic dynamics can provide information to understand better and predict a potential outbreak of this disease and efficiently and effectively manage its impact. However, there is no nationwide and comprehensive (i.e., the inclusion of reinfections in the model) model of HFDM dynamics for Thailand. This paper has endeavoured to promote nationwide comprehensive modelling of HFMD's epidemic dynamics and comprehend the reinfection cases. We have formulated the SEIRS epidemiological model with dynamic vitals, including reinfections, to explore this disease's prevalence. We also introduced periodic seasonality to reproduce the seasonal effect. The pattern of spread of this disease is uneven across the provinces in Thailand, so we used

Indexed as

AdolescentAlgorithmsBasic Reproduction NumberChildChild, PreschoolComputational BiologyComputer SimulationDisease OutbreaksFemaleHand, Foot and Mouth DiseaseHumansInfantInfant, NewbornMaleModels, BiologicalModels, Statistical

Identifiers

PMID33747118
PMCPMC7954635

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.