Evidence map›Paper›PMID 30200897›Full record

ArticleBMC infectious diseases2018

Upper respiratory infections in a rural area with reduced malaria transmission in Senegal: a pathogens community study.

Roger C Tine, Léon A Ndiaye, Mbayame N Niang, Davy E Kiori, Ndongo Dia, Oumar Gaye, Hélène Broutin

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Oral and plasma microbiome in the context of acute febrile illness.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Causes and Seasonality of Upper Respiratory Infections in Adults in Lesotho (2021-2022) (CORIAL).The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Article
  5. Article
  6. Influence of Microbiota on Clinical Expressions of Respiratory Viral Infections.The American journal of tropical medicine and hygiene · 2024
    Article
  7. Review
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 at 3 institutions in 2 countries.

Roger C TineService de Parasitologie, Faculté de Médecine, Université Cheikh Anta Diop de Dakar (UCAD), BP5005, Dakar-Fann, Senegal. roger.tine@ucad.edu.sn.ORCID http://orcid.org/0000-0003-3024-1270
Léon A NdiayeService de Parasitologie, Faculté de Médecine, Université Cheikh Anta Diop de Dakar (UCAD), BP5005, Dakar-Fann, Senegal.
Mbayame N NiangLaboratoire des Virus respiratoires, Institut Pasteur de Dakar, Dakar, Senegal.
Davy E KioriLaboratoire des Virus respiratoires, Institut Pasteur de Dakar, Dakar, Senegal.
Ndongo DiaLaboratoire des Virus respiratoires, Institut Pasteur de Dakar, Dakar, Senegal.
Oumar GayeService de Parasitologie, Faculté de Médecine, Université Cheikh Anta Diop de Dakar (UCAD), BP5005, Dakar-Fann, Senegal.
Hélène BroutinService de Parasitologie, Faculté de Médecine, Université Cheikh Anta Diop de Dakar (UCAD), BP5005, Dakar-Fann, Senegal.
Cheikh Anta Diop University · SNInstitut Pasteur de Dakar · SNCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute Respiratory Infections (ARI) are common causes of febrile illnesses in many settings in Senegal. These infections are usually managed presumptively due to lack of appropriate diagnostic tools. This situation, can lead to poor management of febrile illness or antibiotic misuse. In addition, there are limited data on the spectrum of pathogens commonly responsible for these ARI. This study was conducted to explore the pathogens community among patients with acute respiratory infection in a rural area in Senegal.

methodsA cross sectional study was conducted from August to December 2015. Children and adult patients attending Keur Socé health post for signs suggestive of acute respiratory infection were enrolled after providing inform consent. Eligible participants were recruited using a consecutive sampling method. Paired nose and throat swabs were collected for pathogen detection. Samples were processed using a multiplex PCR designed to identify 21 pathogens including both virus and bacteria.

resultsTwo hundred and fifty patients participated in the study. Samples positivity rate was evaluated at 95.2% (238/250). Streptococcus pneumoniae was the predominant pathogen (74%) and was present in all months and all age-groups, followed by Staphylococcus aureus (28,8%) and rhinovirus (28,4%). Respiratory syncytial virus (RSV) was detected only among children under 5 years old in August and September while coronavirus was present in all age groups, during the months of October and December.

conclusionThis pilot study revealed a diversity of pathogens over the time and across all age groups, highlighting the need for further exploration. A pathogen community approach including both virus and bacteria at a larger scale becomes crucial for a better understanding of transmission dynamics at population level in order to help shape ARI control strategies.

Indexed as

AdolescentChildChild, PreschoolCross-Sectional StudiesDNA, BacterialFemaleHumansInfantMalariaMaleMultiplex Polymerase Chain ReactionRespiratory Syncytial Virus, HumanRespiratory Tract InfectionsRhinovirusRNA, ViralRural PopulationDNA, BacterialRNA, ViralARIInfluenzaPathogen communityRSVSenegalStreptococcus pneumoniae

Identifiers

PMID30200897
PMCPMC6131886
OpenAlexW2889944561

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.