Biostatistics for Parasitologists - A Primer to Quantitative Parasitology

Jenő Reiczigel; Marco Marozzi; Ibolya Fábián; Lajos Rózsa

doi:10.1016/j.pt.2019.01.003

Biostatistics for Parasitologists - A Primer to Quantitative Parasitology

Trends Parasitol. 2019 Apr;35(4):277-281. doi: 10.1016/j.pt.2019.01.003. Epub 2019 Jan 31.

Authors

Jenő Reiczigel¹, Marco Marozzi², Ibolya Fábián¹, Lajos Rózsa³

Affiliations

¹ Department of Biomathematics and Informatics, University of Veterinary Medicine, Budapest, Hungary.
² Department of Environmental Sciences, Informatics and Statistics, University of Venice, Venice, Italy.
³ Evolutionary Systems Research Group, Centre for Ecological Research, Hungarian Academy of Sciences, 8237 Tihany, Hungary; MTA-ELTE-MTM Ecology Research Group, Hungarian Academy of Sciences, Budapest, Hungary. Electronic address: rozsa.lajos@okologia.mta.hu.

PMID: 30713051
DOI: 10.1016/j.pt.2019.01.003

Abstract

The aggregated distributions of host-parasite systems require several different infection parameters to characterize them. We advise readers how to choose infection indices with clear and distinct biological interpretations, and recommend statistical tests to compare them across samples. A user-friendly and free software is available online to overcome technical difficulties.

Keywords: biostatistics; infection indices; infection parameters; quantitative parasitology.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Biostatistics*
Parasitology / methods*
Software*