Evidence map›Paper›PMID 40083465›Full record

ArticleJournal of public health in Africa2025

Analysing dengue fever spread in Kenya using the Zero-Inflated Poisson model.

Lameck Ondieki Agasa, Faith Thuita, Thomas Achia, Antony Karanja

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2025. 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
–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

2 citing papers in PubMed.

  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

4 authors.

Lameck Ondieki AgasaDepartment of Public and Global Health, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-3740-8865
Faith ThuitaDepartment of Public and Global Health, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-7019-6542
Thomas AchiaInstitute of Mathematical Sciences, Strathmore University, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-0700-9468
Antony KaranjaDepartment of Mathematics, Faculty of Science and Technology, Multimedia University, Nairobi, Kenya.ORCID https://orcid.org/0009-0008-7500-5777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue fever (DF), transmitted by Aim: This study analysed the impact of climatic factors on DF incidence in Kenya using a Zero-Inflated Poisson (ZIP) model. Setting: The study focused on DF cases in Kenya from 2019 to 2021. Methods: A ZIP model was applied to monthly dengue case data and associated climatic variables, such as temperature, rainfall, and humidity. The model addresses over-dispersion and excess zeros in the data, providing a more accurate depiction of DF dynamics. Results: The ZIP model revealed significant associations between climatic variables and DF incidence. Humidity (β = 0.0578, standard error [s.e.] = 0.0024, Conclusion: The results suggest that higher humidity and temperature favor dengue transmission, while heavy rainfall may disrupt mosquito breeding, reducing cases. These findings provide a basis for targeted public health interventions. Contribution: This study enhances understanding of DF-climate interactions in Kenya, supporting the application of ZIP modelling for improved disease surveillance and control strategies.

Indexed as

climatic factorsdengue feverepidemiologyKenyaZero-Inflated Poisson model

Identifiers

PMID40083465
PMCPMC11905199

What OpenQuestion holds

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Registered trials

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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.