A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.

Snakebite is the only WHO-listed, not infectious neglected tropical disease (NTD), although its eco-epidemiology is similar to that of zoonotic infections: envenoming occurs after a vertebrate host contacts a human. Accordingly, snakebite risk represents the interaction between snake and human facto...

Full description

Bibliographic Details
Main Authors: Gerardo Martín, Joseph J Erinjery, Dileepa Ediriweera, H Janaka de Silva, David G Lalloo, Takuya Iwamura, Kris A Murray
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-05-01
Series:PLoS Neglected Tropical Diseases
Online Access:https://doi.org/10.1371/journal.pntd.0009867
_version_ 1811167169892843520
author Gerardo Martín
Joseph J Erinjery
Dileepa Ediriweera
H Janaka de Silva
David G Lalloo
Takuya Iwamura
Kris A Murray
author_facet Gerardo Martín
Joseph J Erinjery
Dileepa Ediriweera
H Janaka de Silva
David G Lalloo
Takuya Iwamura
Kris A Murray
author_sort Gerardo Martín
collection DOAJ
description Snakebite is the only WHO-listed, not infectious neglected tropical disease (NTD), although its eco-epidemiology is similar to that of zoonotic infections: envenoming occurs after a vertebrate host contacts a human. Accordingly, snakebite risk represents the interaction between snake and human factors, but their quantification has been limited by data availability. Models of infectious disease transmission are instrumental for the mitigation of NTDs and zoonoses. Here, we represented snake-human interactions with disease transmission models to approximate geospatial estimates of snakebite incidence in Sri Lanka, a global hotspot. Snakebites and envenomings are described by the product of snake and human abundance, mirroring directly transmitted zoonoses. We found that human-snake contact rates vary according to land cover (surrogate of occupation and socioeconomic status), the impacts of humans and climate on snake abundance, and by snake species. Our findings show that modelling snakebite as zoonosis provides a mechanistic eco-epidemiological basis to understand snakebites, and the possible implications of global environmental and demographic change for the burden of snakebite.
first_indexed 2024-04-10T16:04:40Z
format Article
id doaj.art-4f585ae07b0941c3831c3ebd4734a2de
institution Directory Open Access Journal
issn 1935-2727
1935-2735
language English
last_indexed 2024-04-10T16:04:40Z
publishDate 2022-05-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS Neglected Tropical Diseases
spelling doaj.art-4f585ae07b0941c3831c3ebd4734a2de2023-02-10T05:32:10ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352022-05-01165e000986710.1371/journal.pntd.0009867A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.Gerardo MartínJoseph J ErinjeryDileepa EdiriweeraH Janaka de SilvaDavid G LallooTakuya IwamuraKris A MurraySnakebite is the only WHO-listed, not infectious neglected tropical disease (NTD), although its eco-epidemiology is similar to that of zoonotic infections: envenoming occurs after a vertebrate host contacts a human. Accordingly, snakebite risk represents the interaction between snake and human factors, but their quantification has been limited by data availability. Models of infectious disease transmission are instrumental for the mitigation of NTDs and zoonoses. Here, we represented snake-human interactions with disease transmission models to approximate geospatial estimates of snakebite incidence in Sri Lanka, a global hotspot. Snakebites and envenomings are described by the product of snake and human abundance, mirroring directly transmitted zoonoses. We found that human-snake contact rates vary according to land cover (surrogate of occupation and socioeconomic status), the impacts of humans and climate on snake abundance, and by snake species. Our findings show that modelling snakebite as zoonosis provides a mechanistic eco-epidemiological basis to understand snakebites, and the possible implications of global environmental and demographic change for the burden of snakebite.https://doi.org/10.1371/journal.pntd.0009867
spellingShingle Gerardo Martín
Joseph J Erinjery
Dileepa Ediriweera
H Janaka de Silva
David G Lalloo
Takuya Iwamura
Kris A Murray
A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.
PLoS Neglected Tropical Diseases
title A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.
title_full A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.
title_fullStr A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.
title_full_unstemmed A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.
title_short A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.
title_sort mechanistic model of snakebite as a zoonosis envenoming incidence is driven by snake ecology socioeconomics and its impacts on snakes
url https://doi.org/10.1371/journal.pntd.0009867
work_keys_str_mv AT gerardomartin amechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT josephjerinjery amechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT dileepaediriweera amechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT hjanakadesilva amechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT davidglalloo amechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT takuyaiwamura amechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT krisamurray amechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT gerardomartin mechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT josephjerinjery mechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT dileepaediriweera mechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT hjanakadesilva mechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT davidglalloo mechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT takuyaiwamura mechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes
AT krisamurray mechanisticmodelofsnakebiteasazoonosisenvenomingincidenceisdrivenbysnakeecologysocioeconomicsanditsimpactsonsnakes