Evidence map›Paper›PMID 40382416›Full record

ArticleScientific reports2025

Optimal control of dengue hemorrhagic fever model by classifying sex in West Java Province, Indonesia.

Faishal Farrel Herdicho, F Fatmawati, Cicik Alfiniyah, Muhammad Abdurrahman Rois, Santi Martini, Dipo Aldila, Farai Nyabadza

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Faishal Farrel HerdichoDepartment of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
F FatmawatiDepartment of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia. fatmawati@fst.unair.ac.id.
Cicik AlfiniyahDepartment of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Muhammad Abdurrahman RoisDepartment of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Santi MartiniDepartment of Epidemiology, Biostatistics, Population and Health Promotion, Faculty of Public Health, Universitas Airlangga, Surabaya, 60115, Indonesia.
Dipo AldilaDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, 16424, Indonesia.
Farai NyabadzaDepartment of Mathematics and Applied Mathematics, University of Johannesburg, Auckland Park, 2006, South Africa.

Funding

Universitas Airlangga 301/UN3.15/PT/2023
6 · The paper itself

Abstract

Dengue hemorrhagic fever (DHF) is an infectious disease caused by the presence of the dengue virus that is spread worldwide regardless of age. An X-coded gene on the chromosome regulates the immune system. The gene can control the immune system which causes females to have higher amounts of CD4+ T cells and less susceptibility to inflammation, making them not easily infected with viruses. In this paper, we construct and analyze the model of DHF transmission by classifying the sex of human populations. The model parameters are estimated based on DHF data in West Java Province, Indonesia using the least-squares method. The results of the model analysis obtained two equilibria, namely the disease-free equilibrium (locally and globally asymptotically stable if [Formula: see text]) and the endemic equilibrium in special cases (globally asymptotically stable if [Formula: see text]). We then extend an optimal control model for dengue transmission, which includes fumigation and prevention as the control variables. The Pontryagin maximum principle is utilized to find the optimal control conditions. Next, based on the ICER calculation, implementing control in the form of a combination of fumigation and prevention is the best strategy in eliminating DHF cases and cost efficiency. We also suggest that prevention efforts should be differentiated between male and female due to the significant impact in eliminating DHF sufferers.

Indexed as

Severe DengueDengue VirusFemaleHumansIndonesiaMaleSex FactorsCost-effectiveness analysisDengue hemorrhagic feverMathematical modelOptimal controlSex classification

Identifiers

PMID40382416
PMCPMC12085671

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.