Evidence map›Paper›PMID 38179326›Full record

ArticleFrontiers in veterinary science2023

Physiological changes in captive elephants in Northern Thailand as a result of the COVID-19 tourism ban - muscle, liver, metabolic function, and body condition.

Jarawee Supanta, Janine L Brown, Pakkanut Bansiddhi, Chatchote Thitaram, Veerasak Punyapornwithaya, Khanittha Punturee, Nopphamas Somboon, Patcharapa Towiboon, Jaruwan Khonmee

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Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jarawee SupantaFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.
Janine L BrownCenter of Elephant and Wildlife Health, Chiang Mai University Animal Hospital, Chiang Mai, Thailand.
Pakkanut BansiddhiFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.
Chatchote ThitaramFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.
Veerasak PunyapornwithayaFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.
Khanittha PuntureeDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand.
Nopphamas SomboonSmall Animal Hospital, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.
Patcharapa TowiboonCenter of Elephant and Wildlife Health, Chiang Mai University Animal Hospital, Chiang Mai, Thailand.
Jaruwan KhonmeeFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The international travel ban initiated in March 2020 due to the COVID-19 pandemic greatly affected how captive elephants were managed in Thailand. A lack of tourists and associated income meant elephants were chained longer with reduced food provisions, had fewer mahouts, and limited exercise like riding, which likely affected health and welfare. Fifty-eight elephants from six tourist camps were assigned a body condition score (BCS) and blood samples were collected monthly for 2 years during the travel ban to measure: (1) muscle enzymes [creatine kinase (CK), aspartate aminotransferase (AST)]; (2) liver enzymes [aspartate aminotransferase (AST), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT)]; (3) lipids [total cholesterol (TC), triglycerides (TG), low (LDL) and high (HDL) density lipoproteins]; and metabolic function [glucose, insulin, fructosamine]. Serum CK concentrations were lower at the end of the study, possibly due to no tourist activities like riding. Changes in liver function included increased AST and ALP, also possibly due to physical inactivity. Feeding less bananas and sugar cane was associated with fewer elephants in the obese category and lower TG concentrations. However, increases in glucose, insulin and fructosamine were observed as local people returned to feed elephants after lifting travel restrictions. In sum, changes in several health biomarkers were observed in association with restricted activities and food resources. Camps need better plans to meet the health and welfare needs of elephants during any future disruptions to the tourism industry, although reduced feeding of sweet treats appeared to have positive effects on body condition and metabolic function.

Indexed as

COVID-19elephanthealthThailandtourism

Identifiers

PMID38179326
PMCPMC10764436

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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.