Evidence map›Paper›PMID 37171505›Full record

ArticleExperimental & applied acarology2023

Biogeography of the theileriosis vector, Rhipicephalus appendiculatus under current and future climate scenarios of Zimbabwe.

Tinotenda M Nemaungwe, Ellie M S P van Dalen, Emily O Waniwa, Pious V Makaya, Gerald Chikowore, Frank Chidawanyika

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Experimental & applied acarology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. 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

6 authors at 3 institutions in 3 countries.

Tinotenda M NemaungweDivision of Veterinary Technical Services, Ministry of Lands, Fisheries, Water and Rural Development, Harare, Zimbabwe.
Ellie M S P van DalenDepartment of Zoology and Entomology, University of the Free State, PO Box 339, Bloemfontein, 9300, South Africa.
Emily O WaniwaDivision of Veterinary Technical Services, Ministry of Lands, Fisheries, Water and Rural Development, Harare, Zimbabwe.
Pious V MakayaDivision of Veterinary Technical Services, Ministry of Lands, Fisheries, Water and Rural Development, Harare, Zimbabwe.
Gerald ChikoworeDepartment of Zoology and Entomology, University of the Free State, PO Box 339, Bloemfontein, 9300, South Africa.
Frank ChidawanyikaDepartment of Zoology and Entomology, University of the Free State, PO Box 339, Bloemfontein, 9300, South Africa. fchidawanyika@icipe.org.
University of the Free State · ZAMinistry of Lands and Rural Resettlement · ZWInternational Centre of Insect Physiology and Ecology · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate directly influences the epidemiology of vector-borne diseases at various spatial and temporal scales. Following the recent increased incidences of theileriosis in Zimbabwe, a disease mainly transmitted by Rhipicephalus appendiculatus, we determined lethal temperatures for the species and current and possible future distribution using the machine learning algorithm 'Maxent'. Rhipicephalus appendiculatus larvae had an upper lethal temperature (ULT

Indexed as

Cattle DiseasesRhipicephalusTheileriasisAnimalsCattleEcosystemTemperatureZimbabweClimate changeLethal temperatureMicrohabitatsSpecies distribution modeling

Identifiers

PMID37171505
PMCPMC10293362
OpenAlexW4376225441

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.