Evidence map›Paper›PMID 32150243›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Transmission of Cryptosporidium Species Among Human and Animal Local Contact Networks in Sub-Saharan Africa: A Multicountry Study.

Ralf Krumkamp, Cassandra Aldrich, Oumou Maiga-Ascofare, Joyce Mbwana, Njari Rakotozandrindrainy, Steffen Borrmann, Simone M Caccio, Raphael Rakotozandrindrainy, Ayola Akim Adegnika, John P A Lusingu and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 53 citations in OpenAlex.

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  19. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 6 countries.

Ralf KrumkampDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Cassandra AldrichDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Oumou Maiga-AscofareDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Joyce MbwanaNational Institute for Medical Research, Tanga Research Centre, Tanga, United Republic of Tanzania.
Njari RakotozandrindrainyUniversity of Antananarivo, Antananarivo, Madagascar.
Steffen BorrmannCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.
Simone M CaccioDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Raphael RakotozandrindrainyUniversity of Antananarivo, Antananarivo, Madagascar.
Ayola Akim AdegnikaCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.
John P A LusinguNational Institute for Medical Research, Tanga Research Centre, Tanga, United Republic of Tanzania.
John AmuasiKumasi Centre for Collaborative Research in Tropical Medicine, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Jürgen MayDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Daniel EibachDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
CRYPTO Study Group
German Center for Infection Research · DEKwame Nkrumah University of Science and Technology · GHNational Institute for Medical Research · TZUniversitätsklinikum Tübingen · DEUniversity of Antananarivo · MGIstituto Superiore di Sanità · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptosporidiosis has been identified as one of the major causes of diarrhea and diarrhea-associated deaths in young children in sub-Saharan Africa. This study traces back Cryptosporidium-positive children to their human and animal contacts to identify transmission networks.

methodsStool samples were collected from children < 5 years of age with diarrhea in Gabon, Ghana, Madagascar, and Tanzania. Cryptosporidium-positive and -negative initial cases (ICs) were followed to the community, where stool samples from households, neighbors, and animal contacts were obtained. Samples were screened for Cryptosporidium species by immunochromatographic tests and by sequencing the 18S ribosomal RNA gene and further subtyped at the 60 kDa glycoprotein gene (gp60). Transmission clusters were identified and risk ratios (RRs) calculated.

resultsAmong 1363 pediatric ICs, 184 (13%) were diagnosed with Cryptosporidium species. One hundred eight contact networks were sampled from Cryptosporidium-positive and 68 from negative ICs. Identical gp60 subtypes were detected among 2 or more contacts in 39 (36%) of the networks from positive ICs and in 1 contact (1%) from negative ICs. In comparison to Cryptosporidium-negative ICs, positive ICs had an increased risk of having Cryptosporidium-positive household members (RR, 3.6 [95% confidence interval {CI}, 1.7-7.5]) or positive neighboring children (RR, 2.9 [95% CI, 1.6-5.1]), but no increased risk of having positive animals (RR, 1.2 [95% CI, .8-1.9]) in their contact network.

conclusionsCryptosporidiosis in rural sub-Saharan Africa is characterized by infection clusters among human contacts, to which zoonotic transmission appears to contribute only marginally.

Indexed as

CryptosporidiosisCryptosporidiumAnimalsChildChild, PreschoolFecesGabonGenotypeGhanaHumansMadagascarTanzaniaAfricacryptosporidiummolecular epidemiologytransmission

Identifiers

PMID32150243
PMCPMC8075035
OpenAlexW3012416231

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.