Evidence map›Paper›PMID 38535884›Full record

ReviewTropical medicine and infectious disease2024

Potential Way to Develop Dengue Virus Detection in

Yenny Rachmawati, Savira Ekawardhani, Nisa Fauziah, Lia Faridah, Kozo Watanabe

Open access · goldAbstract readReview
In one paragraph

Review in Tropical medicine and infectious disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Direct Detection ofSensors (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Review
  4. 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 3 institutions in 2 countries.

Yenny RachmawatiBiomedical Science Master Program, Faculty of Medicine, Universitas Padjadjaran, Bandung 54211, Indonesia.
Savira EkawardhaniDepartment of Biomedical Science, Parasitology Division, Faculty of Medicine, Universitas Padjadjaran, Bandung 54211, Indonesia.ORCID 0000-0002-8904-7811
Nisa FauziahDepartment of Biomedical Science, Parasitology Division, Faculty of Medicine, Universitas Padjadjaran, Bandung 54211, Indonesia.ORCID 0000-0002-7486-0519
Lia FaridahDepartment of Biomedical Science, Parasitology Division, Faculty of Medicine, Universitas Padjadjaran, Bandung 54211, Indonesia.
Kozo WatanabeCenter for Marine Environmental Studies (CMES), Ehime University, Matsuyama, Ehime 790-8577, Japan.
Padjadjaran University · IDEhime University · JPIPB University · ID

Funding

Japan Society for the Promotion of Science JPJSCCB20190008
6 · The paper itself

Abstract

The burden of dengue has emerged as a serious public health issue due to its impact on morbidity, mortality, and economic burden. Existing surveillance systems are inadequate to provide the necessary data for the prompt and efficient control of dengue. Passive surveillance of dengue cases may lead to underreporting and delayed mitigation responses. Improved dengue control program requires sensitive and proactive methods for early detection of dengue. We collected and reviewed existing research articles worldwide on detecting dengue virus in

Indexed as

Aedes larvaedengue surveillancedengue virus

Identifiers

PMID38535884
PMCPMC10975107
OpenAlexW4392661813

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.