Evidence map›Paper›PMID 36643180›Full record

ArticleProcedia computer science2023

Dijkstra's algorithm to find the nearest vaccine location.

Jason, Melvin Siever, Alvin Valentino, Kristien Margi Suryaningrum, Rezki Yunanda

Open access · diamondAbstract read
In one paragraph

Article in Procedia computer science, 2023. 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
5.9field-weighted citation impact, top 4% 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, 13 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.

JasonComputer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.
Melvin SieverComputer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.
Alvin ValentinoComputer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.
Kristien Margi SuryaningrumComputer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.
Rezki YunandaComputer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.
Binus University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the start of Covid-19 pandemic has made many people look for vaccine locations. In general, Dijkstra algorithm is used to find the shortest path. The shortest path problem concentrates on finding the path with the minimum distance. The Dijkstra algorithm was chosen because it has several advantages other than advantageous in terms of running time to find the shortest path. This research focuses on calculation and implementation of Dijkstra algorithm that will result the shortest path with visual by Google Maps API. The project is tested with manual calculation first by using graph explanation. The graph is obtained based on route data obtained with the help of google maps then it is tested by implementing the Dijkstra algorithm using HTML, JavaScript and also Google Maps API to visualize the nearest vaccine location. From the research founded that there were shortcomings problem where program had to enter each road turn as a vertex and an edge, If not including the entire path that was formed, it would pass through buildings or structures that should not be passed. The results that will be displayed on the website based on the purpose of the research.

Indexed as

COVID-19Dijkstra AlgorithmLocationShortest pathVaccination

Identifiers

PMID36643180
PMCPMC9829424
OpenAlexW4313886316

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.