Evidence map›Paper›PMID 23052778›Full record

ArticleParasitology research2013

Prevalence and climatic associated factors of Cryptosporidium sp. infections in savanna chimpanzees from Ugalla, Western Tanzania.

Olga Gonzalez-Moreno, R Adriana Hernandez-Aguilar, Alex K Piel, Fiona A Stewart, Mercedes Gracenea, Jim Moore

Abstract read
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In one paragraph

Article in Parasitology research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Environmental Factors Associated withPathogens (Basel, Switzerland) · 2023
    Review
  4. Article
  5. Article
  6. Article
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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

6 authors at 4 institutions in 4 countries.

Olga Gonzalez-MorenoLaboratory of Parasitology, Faculty of Pharmacy, University of Barcelona, Av. Joan XXIII s/n E-08028, Barcelona, Catalonia, Spain. olgagonzalezmoreno@ub.edu
R Adriana Hernandez-Aguilar
Alex K Piel
Fiona A Stewart
Mercedes Gracenea
Jim Moore
Universitat de Barcelona · ESUniversity of California, San Diego · USUniversity of Cambridge · GBUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies about parasitization by Cryptosporidium in great apes have been scarce and mostly conducted in captivity. The present study reports the presence of Cryptosporidium sp. in wild chimpanzees (Pan troglodytes) from Ugalla, western Tanzania. Ugalla is one of the driest, most open, and seasonal habitats inhabited by chimpanzees. Cryptosporidium sp. was found in 8.9 % of the samples. The presence of the parasite was determined by preserving fecal samples in chemical conventional fixatives (MIF and alcohol absolute) staining them using a modified Zielh-Neelsen technique, and examining them with a light microscope. The number of fecal samples positive for Cryptosporidium was significantly higher during the rainy than during the dry season (p < 0.005). The results showed that feces collected in the rainy season were almost three times more likely to be positive for Cryptosporidium than those collected in the dry season (OR = 2.81). Cryptosporidium detection was significantly negatively affected by highest temperatures (>28.7 °C, p < 0.001). Cryptosporidiosis can cause serious health problems in humans and its potential effect on Ugalla chimpanzees is discussed.

Indexed as

AnimalsClimateCryptosporidiosisCryptosporidiumFecesMicroscopyPan troglodytesParasitologyPrevalencePrimate DiseasesSeasonsTanzania

Identifiers

PMID23052778
OpenAlexW2017340705

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.