Mapping habitat suitability for gastrointestinal nematodiasis of ruminants in southern Caspian Sea littoral: a predicted risk pattern model based on the MaxEnt

Shadman, Mazyar; Meshgi, B; Fathi, Saeed; Hanafi-Bojd, AA; Majidi-Rad, Morteza; Modabbernia, Galia

doi:10.1007/s11250-020-02423-2

Cited by 4 publications

(2 citation statements)

References 43 publications

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“…During winter, third-stage larvae (L3) of most species are capable of residing in the rangelands, resulting in the infection of ruminants, particularly newborn lambs, during the spring season 45 . The monthly rainfall in Rasht and Bandar-e Anzali within Guilan province, excluding the summer season, bestows abundant moisture essential for both the robust development of trichostrongylid larvae in fecal pellets and the successful outward migration of L3 larvae from feces.…”

Section: Discussionmentioning

confidence: 99%

“…The monthly rainfall in Rasht and Bandar-e Anzali within Guilan province, excluding the summer season, bestows abundant moisture essential for both the robust development of trichostrongylid larvae in fecal pellets and the successful outward migration of L3 larvae from feces. However, it is not conducive to the vertical migration of L3 onto herbage 31 , 45 , 46 . This condition may also be present, to a lesser extent, in East Azerbaijan province during the rainy season (autumn, winter, and spring).…”

Section: Discussionmentioning

confidence: 99%

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Multi-scale habitat modeling framework for predicting the potential distribution of sheep gastrointestinal nematodes across Iran’s three distinct climatic zones: a MaxEnt machine-learning algorithm

Meshgi,

Hanafi-Bojd,

Fathi

et al. 2024

Sci Rep

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Ecological niche models (ENMs) serve as valuable tools in assessing the potential species distribution, identifying crucial habitat components for species associations, and facilitating conservation efforts. The current study aimed to investigate the gastrointestinal nematodes (GINs) infection in sheep, predict and analyze their ecological niches and ranges, and identify the key bioclimatic variables influencing their distribution across three distinct climatic regions in Iran. In a cross-sectional study, a total of 2140 fecal samples were collected from semi-arid (n = 800), arid (n = 500), and humid-subtropical (n = 840) climates in East Azerbaijan, Kerman, and Guilan provinces, respectively. The flotation method was employed to assess stool samples, whereby the fecal egg count (the number of parasite eggs per gram [EPG]) was ascertained for each individual specimen. Employing a presence-only approach, the multi-scale maximum entropy (MaxEnt) method was used to model GINs' habitat suitability using 93 selected points/locations. The findings revealed that Guilan (34.2%) and East Azerbaijan (19.62%) exhibited the utmost proportion of Strongyle-type eggs. East Azerbaijan province also displayed the highest proportion of Marshallagia and Nematodirus, respectively (approximately 40% and 27%), followed by Guilan and Kerman provinces, while Kerman province had the highest proportion of Trichuris (approximately 15%). Ecological niche modeling revealed that the precipitation of the driest quarter (Bio17) exerted the most significant influence on Marshallagia, Nematodirus, Trichuris, and ُSُُُtrongyle-type eggs' presence in East Azerbaijan and Kerman provinces. For Guilan province, the most influential factor defining habitat suitability for Strongyle-type eggs, Marshallagia, and Nematodirus was increasing slope. Additionally, the distribution of Trichuris was most affected by the variable Bio2 in Guilan province. The study highlights the response of GINs to climate drivers in highly suitable regions, providing insights into ecologically favorable areas for GINs. In conclusion, this study provides a better understanding of GINs and the environmental factors influencing their transmission dynamics.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Multi-scale habitat modeling framework for predicting the potential distribution of sheep gastrointestinal nematodes across Iran’s three distinct climatic zones: a MaxEnt machine-learning algorithm

Meshgi,

Hanafi-Bojd,

Fathi

et al. 2024

Sci Rep

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Potential distribution modelling for Haemonchus contortus (Nematoda: Trichostrongylidae) in South America

do Nascimento,

Brito,

Teixeira

et al. 2024

Parasitol Res

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Knowledge, perceptions, and practices of deworming and parasitic disease control activities among peri-urban livestock keepers in Barishal district, Bangladesh

Sayed

Rahman

Asgar

et al. 2022

BJVM

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Background: Bangladeshi farmers are not getting optimum outcomes from livestock farming due to various obstacles in farming, including a lack of modern technological and scientific knowledge. Therefore, this research was aimed at comprehending the knowledge, perceptions, and practices of deworming and parasitic disease control activities among peri-urban livestock farmers in the Barishal district of Bangladesh. Methods: Data on the knowledge, perceptions, and practices of deworming and parasitic disease control activities of 207 peri-urban livestock farmers were collected randomly from different areas of the Barishal district. A pre-tested questionnaire was administered via a face-to-face interview between June 2020 and December 2020 to collect data. The frequencies were expressed in percentage (%) and the association between farmer’s education and knowledge of parasitic disease prevention, control, and deworming activities were evaluated by crosstab analysis in IBM SPSS software (version 25). Results: The study revealed that 27.5% of the farmers provided impure water to their animals. Almost 100.0% of farmers were found to wash their hands before and after contacting the animals. About 29.0% of farmers were not accustomed to cleaning the farms and excreta regularly. Only 18.8% of respondents permitted their animals to co-graze with other animals. Approximately 45% of participants used anthelmintics regularly, and 32.4% of participants were informed of the scheduled deworming practices for their animals. Surprisingly, 96.6% of respondents never participated in deworming and parasitic disease control training programs. However, 100% of farmers agreed that parasitic disease control is essential for profitable farming and increasing production. Conclusion: A large proportion of farmers rear their livestock without deworming practices, and they are not aware of helminthiasis control and prevention. Therefore, intensive extension work is needed to educate them on helminthiasis and deworming activities.

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Mapping habitat suitability for gastrointestinal nematodiasis of ruminants in southern Caspian Sea littoral: a predicted risk pattern model based on the MaxEnt

Cited by 4 publications

References 43 publications

Multi-scale habitat modeling framework for predicting the potential distribution of sheep gastrointestinal nematodes across Iran’s three distinct climatic zones: a MaxEnt machine-learning algorithm

Multi-scale habitat modeling framework for predicting the potential distribution of sheep gastrointestinal nematodes across Iran’s three distinct climatic zones: a MaxEnt machine-learning algorithm

Potential distribution modelling for Haemonchus contortus (Nematoda: Trichostrongylidae) in South America

Knowledge, perceptions, and practices of deworming and parasitic disease control activities among peri-urban livestock keepers in Barishal district, Bangladesh

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