Evidence map›Paper›PMID 36298682›Full record

ArticleViruses2022

Assessment of Dengue and Chikungunya Infections among Febrile Patients Visiting Four Healthcare Centres in Yaoundé and Dizangué, Cameroon.

Stella Mariette Nana-Ndjangwo, Borel Djiappi-Tchamen, Ruth Mony, Maurice Demanou, Joyce Keumezeu-Tsafack, Roland Bamou, Parfait Awono-Ambene, Charles Félix Bilong Bilong, Christophe Antonio-Nkondjio

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Larval ecology ofCurrent research in parasitology & vector-borne diseases · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Pattern ofTropical medicine and infectious disease · 2022
    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

9 authors at 6 institutions in 3 countries.

Stella Mariette Nana-NdjangwoLaboratory of Parasitology and Ecology, Department of Animal Physiology and Ecology, Faculty of Science, University of Yaoundé I, Yaoundé P.O. Box 337, Cameroon.
Borel Djiappi-TchamenInstitut de Recherche de Yaoundé (IRY), Organisation de Coordination pour la lutte Contre les Endémies en Afrique Centrale (OCEAC), Yaoundé P.O. Box 288, Cameroon.ORCID 0000-0003-1990-167X
Ruth MonyLaboratory of Parasitology and Ecology, Department of Animal Physiology and Ecology, Faculty of Science, University of Yaoundé I, Yaoundé P.O. Box 337, Cameroon.
Maurice DemanouWorld Health Organization, IST West Africa, Ouagadougou P.O. Box 7019, Burkina Faso.ORCID 0000-0002-9275-0874
Joyce Keumezeu-TsafackInstitut de Recherche de Yaoundé (IRY), Organisation de Coordination pour la lutte Contre les Endémies en Afrique Centrale (OCEAC), Yaoundé P.O. Box 288, Cameroon.
Roland BamouInstitut de Recherche de Yaoundé (IRY), Organisation de Coordination pour la lutte Contre les Endémies en Afrique Centrale (OCEAC), Yaoundé P.O. Box 288, Cameroon.ORCID 0000-0001-9031-1731
Parfait Awono-AmbeneInstitut de Recherche de Yaoundé (IRY), Organisation de Coordination pour la lutte Contre les Endémies en Afrique Centrale (OCEAC), Yaoundé P.O. Box 288, Cameroon.
Charles Félix Bilong BilongLaboratory of Parasitology and Ecology, Department of Animal Physiology and Ecology, Faculty of Science, University of Yaoundé I, Yaoundé P.O. Box 337, Cameroon.
Christophe Antonio-NkondjioInstitut de Recherche de Yaoundé (IRY), Organisation de Coordination pour la lutte Contre les Endémies en Afrique Centrale (OCEAC), Yaoundé P.O. Box 288, Cameroon.ORCID 0000-0003-0073-1578
Université de Yaoundé I · CMUniversité de Dschang · CMLiverpool School of Tropical Medicine · GBOrganisation de Coordination pour la lutte contre les Endémies en Afrique Centrale · CMUniversity of Douala · CMWest African Health Organisation · BF

Funding

World Health Organization 001
6 · The paper itself

Abstract

Dengue and chikungunya are now widely distributed in Cameroon, but there is still not enough information on their prevalence in different epidemiological settings. This study was undertaken to assess the prevalence of dengue and chikungunya in both urban and rural settings in Cameroon using three diagnostic tools. From December 2019 to September 2021, willing febrile (temperature >38 °C) outpatients visiting four healthcare facilities in the cities of Yaoundé and Dizangué were screened for dengue, and chikungunya. Clinical features of patient were recorded in a form, and their blood samples were analysed using real-time reverse transcriptase-polymerase chain reaction (rtRT-PCR), rapid diagnostic tests (RDTs) and enzyme-linked immuno-sorbent assays (ELISA). Odds ratios were used to determine the level of association between socio-demographic factors, clinical features, and infection status. The Kappa coefficient permitted to assess the level of agreement between RDTs and ELISA. Overall, 301 febrile patients were recruited in the study: 198 in Yaoundé and 103 in Dizangué. The prevalence of infection varied with the diagnostic tool used. For dengue diagnostics, 110 patients were positive to rtRT-PCR: 90 (45.45%) in Yaoundé, and 20 (19.42%) in Dizangué. The prevalence of dengue IgM using ELISA varied from 22.3% in Dizangué to 30.8% in Yaoundé. Dengue IgM rate using RDTs was 7.6% in Yaoundé and 3.9% in Dizangué. For chikungunya, one (0.5%) patient (Yaoundé, suburb) was positive to rtRT-PCR. The prevalence of chikungunya IgM according to ELISA varied from 18.4% in Dizangué to 21.7% in Yaoundé, while it was 4.5% in Yaoundé and 12.6% in Dizangué with RDTs. Only abdominal and retro-orbital pains were significantly associated with acute dengue infection. All four dengue serotypes were recorded, with a predominance of DENV-3 (35.45%) and DENV-4 (25.45%). Rapid Diagnostic Tests for either chikungunya or dengue displayed very poor sensitivity. This study further confirms the high endemicity of both dengue and chikungunya in Yaoundé and Dizangué. These data stress the need for active surveillance and the implementation of vector control measures to prevent the occurrence of outbreaks across the country.

Indexed as

Chikungunya FeverDengueDengue VirusAntibodies, ViralCameroonDelivery of Health CareFeverHumansImmunoglobulin MReal-Time Polymerase Chain ReactionRNA-Directed DNA PolymeraseAntibodies, ViralImmunoglobulin MRNA-Directed DNA PolymeraseCameroonchikungunyadengueDizanguéIgMrtRT-PCRYaoundé

Identifiers

PMID36298682
PMCPMC9612120
OpenAlexW4298002868

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.