Comparing methods for mapping global parasite diversity

Pappalardo, Paula; Morales‐Castilla, Ignacio; Park, Andrew; Huang, Shan; Schmidt, John P.; Stephens, Patrick R.

doi:10.1111/geb.13008

Cited by 24 publications

(22 citation statements)

References 59 publications

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“…Also Esser et al [ 36 ] used geostatistical analyses to identify the areas at higher risk of CCHFV occurrence in Netherlands. Although spatial modelling has increasingly been employed as a support for decision makers and diseases surveillance [ [37] , [38] , [39] , [40] , [41] , [42] ], it requires quantitative (spatial) information, which is very rarely available, especially if large areas need to be covered. Considering this constrain, this study used a semi-quantitative risk assessment framework, which allows to incorporate not only environmental factors, influencing mainly vector suitability, but also data on livestock trade and proxy for wildlife cross-border movements.…”

Section: Discussionmentioning

confidence: 99%

Risk of Crimean Congo haemorrhagic fever virus (CCHFV) introduction and spread in CCHF-free countries in southern and Western Europe: A semi-quantitative risk assessment

Fanelli

Buonavoglia

2021

One Health

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Crimean-Congo hemorrhagic fever (CCHF) is a severe tick-borne viral zoonotic disease caused by Crimean-Congo hemorrhagic fever virus (CCHFV). The disease is usually asymptomatic in domestic and wild animals, both of which may act as reservoirs of the virus. CCHF is endemic in parts of Africa, Asia, the Middle East and Eastern Europe. During the last decade, the emergence or re-emergence of CCHF was described in several countries in the Eastern Mediterranean Region, with an increasing risk of extension into new areas. Given the public health importance, this study undertakes a semi-quantitative risk assessment to analyse the likelihood of entry and exposure of CCHFV into 9 CCHF-free countries in Southern and Western Europe. Based on a framework outlining the probability of the virus entry and exposure, the risk estimates were assessed for each individual country. The risk assessment was performed using information from public databases and the available scientific literature. The likelihood of entry was conducted considering 3 main pathways: infected tick vectors, wildlife and livestock. The likelihood of exposure was assessed considering the probability of survival of the infected ticks once introduced in CCHF-free countries (depending on abiotic and biotic factors), and the exposure of resident uninfected susceptible ticks to infected imported wildlife and livestock. The risk estimates (combined CCHFV introduction and exposure) were low for the majority of the countries (Austria, Belgium, Germany, Luxembourg, Netherlands, Slovenia and Switzerland) and medium for France and Italy, if accounting only for animal health consequences. Considering the public health consequences only, the risks were rated low for all the countries, except for Italy where it was assessed to be medium.

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Section: Discussionmentioning

confidence: 99%

Risk of Crimean Congo haemorrhagic fever virus (CCHFV) introduction and spread in CCHF-free countries in southern and Western Europe: A semi-quantitative risk assessment

Fanelli

Buonavoglia

2021

One Health

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“…This approach has recently been assessed as viable in the field of host-parasite biogeography (e.g. the 'ecoregion filling method' of [52]). We deemed species distribution models (also known as ecological niche models) inappropriate for our study because invasive species are rarely in equilibrium with the environment, which violates assumptions of such models [53].…”

Section: (A) Data Preparation (I) Native Versus Non-native Rangesmentioning

confidence: 99%

Host and parasite traits predict cross-species parasite acquisition by introduced mammals

Schatz

Park

2021

Proc. R. Soc. B.

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Species invasions and range shifts can lead to novel host–parasite communities, but we lack general rules on which new associations are likely to form. While many studies examine parasite sharing among host species, the directionality of transmission is typically overlooked, impeding our ability to derive principles of parasite acquisition. Consequently, we analysed parasite records from the non-native ranges of 11 carnivore and ungulate species. Using boosted regression trees, we modelled parasite acquisition within each zoogeographic realm of a focal host's non-native range, using a suite of predictors characterizing the parasites themselves and the host community in which they live. We found that higher parasite prevalence among established hosts increases the likelihood of acquisition, particularly for generalist parasites. Non-native host species are also more likely to acquire parasites from established host species to which they are closely related; however, the acquisition of several parasite groups is biased to phylogenetically specialist parasites, indicating potential costs of parasite generalism. Statistical models incorporating these features provide an accurate prediction of parasite acquisition, indicating that measurable host and parasite traits can be used to estimate the likelihood of new host–parasite associations forming. This work provides general rules to help anticipate novel host–parasite associations created by climate change and other anthropogenic influences.

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“…Examining patterns in wolf-parasite associations is problematic because study designs and methods used in parasitological research often differ among studies, complicating the potential for inference from multiple studies. Despite these challenges, recent efforts have been made to compare findings across various studies to highlight wide-scale patterns of parasite diversity (e.g., Pappalardo et al, 2020). Our aim with this comparative study, which includes different ecosystems, sampling periods, and parasitological methods, was to investigate associations between predator-prey relationships and parasite communities.…”

Section: Introductionmentioning

confidence: 99%

Cross‐continental comparison of parasite communities in a wide‐ranging carnivore suggests associations with prey diversity and host density

Strønen

Molnar

Ciucci

et al. 2021

Ecology and Evolution

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Comparing methods for mapping global parasite diversity

Cited by 24 publications

References 59 publications

Risk of Crimean Congo haemorrhagic fever virus (CCHFV) introduction and spread in CCHF-free countries in southern and Western Europe: A semi-quantitative risk assessment

Risk of Crimean Congo haemorrhagic fever virus (CCHFV) introduction and spread in CCHF-free countries in southern and Western Europe: A semi-quantitative risk assessment

Host and parasite traits predict cross-species parasite acquisition by introduced mammals

Cross‐continental comparison of parasite communities in a wide‐ranging carnivore suggests associations with prey diversity and host density

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