Evidence map›Paper›PMID 32907657›Full record

ArticleParasitology2020

Associations between monthly rainfall and mortality in cattle due to East Coast fever, anaplasmosis and babesiosis.

Richard Chepkwony, Carolina Castagna, Ignas Heitkönig, Severine van Bommel, Frank van Langevelde

Abstract read
In one paragraph

Article in Parasitology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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

5 authors.

Richard ChepkwonyKenya Wildlife Service, P.O. Box 40241-00100, Nairobi, Kenya.
Carolina CastagnaWageningen University, Wildlife Ecology and Conservation Group, P.O. Box 47, 6700 AA, Wageningen, The Netherlands.
Ignas HeitkönigWageningen University, Wildlife Ecology and Conservation Group, P.O. Box 47, 6700 AA, Wageningen, The Netherlands.
Severine van BommelWageningen University, Strategic Communications Group, P.O. Box 8130, 6700 EW, Wageningen, The Netherlands.
Frank van LangeveldeWageningen University, Wildlife Ecology and Conservation Group, P.O. Box 47, 6700 AA, Wageningen, The Netherlands.ORCID 0000-0001-8870-0797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weather conditions can impact infectious disease transmission, causing mortalities in humans, wild and domestic animals. Although rainfall in dry tropical regions is highly variable over the year, rainfall is thought to play an important role in the transmission of tick-borne diseases. Whether variation in rainfall affects disease-induced mortalities, is, however, poorly understood. Here, we use long-term data on monthly rainfall and Boran cattle mortality (1998-2017) to investigate associations between within-year variation in rainfall and cattle mortalities due to East Coast fever (ECF), anaplasmosis and babesiosis in Laikipia, Kenya, using ARIMAX modelling. Results show a negative correlation between monthly rainfall and cattle mortality for ECF and anaplasmosis, with a lag effect of 2 and 6 months, respectively. There was no association between babesiosis-induced mortalities and monthly rainfall. The results of this study suggest that control of the tick-borne diseases ECF and anaplasmosis to reduce mortalities should be intensified during rainy periods after the respective estimated time lags following dry periods.

Indexed as

AnaplasmosisAnimalsBabesiosisCattleCattle DiseasesKenyaRainSeasonsTheileriasisAnimal diseasesindigenous cattletick-borne diseasestickstime series analysis

Identifiers

PMID32907657
PMCPMC10317715

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.