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Prediction Of Spatial Distribution And Epidemic Analysis Of Pathogens Of Rhipicephalus Microplus

Posted on:2023-01-06Degree:MasterType:Thesis
Country:ChinaCandidate:P XiaoFull Text:PDF
GTID:2530306794999399Subject:Biological engineering
Abstract/Summary:PDF Full Text Request
Rhipicephalus microplus is widely distributed around the world and causes significant losses to the livestock industry every year.Its hosts are diverse,include mammals,birds,dogs,and amphibians.The ticks feed on the blood of the host by biting and spread various pathogens,causing human and animals to infect a variety of diseases and posing a major threat to public health and safety.In this study,we did the literature research about R.microcephala and conducted field surveys to catch ticks.We established a database of R.microcephala information.The geographic information system was used to draw the distribution map of R.microcephala in various regions of the world.It was found that the distribution area of R.microcephala is mostly between 35° N and 35° S,the annual average precipitation exceeds 500 mm,and the annual average temperature is relatively high in developing countries.By sorting out the records of R.microcephala reported by various countries,it was found that it may parasitize 57 kinds of hosts.In addition to common ungulate ruminants,such as cattle and sheep,horses,deer,cats,dogs,foxes and other animals are found in many countries.All hosts belong to 46 genera and 23 families.Through the Meta analysis method,the pathogens carried by R.microcephala were summarized,and the types and prevalence of pathogens were understood.In this study,based on the known distribution sites of R.microcephala,a niche model was used to predict the potential distribution area of R.microcephala in the world.It was found that the distribution area of R.microcephala may be wider than we know.Through the construction of the model,we found out the contribution of various environmental factors to the distribution of R.microcephala.In summary,This study analyzed its potential geographic distribution through model prediction and multi-angle analysis.And the influence of various factors on the distribution of R.microcephala was calculated through the model to assist researchers in understanding the risks in the fields of animal husbandry,veterinary medicine and public health in various countries.Insect monitoring and tick-borne disease protection and research provide reference,thereby reducing the harm of R.microcephala to human economic life.
Keywords/Search Tags:ticks, Rhipicephalus microplus, tick-associated agents, Meta-analysis, maximum entropy models, latent distribution prediction
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