東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

New Metrics for Evolving Risks to Human and Wildlife Health.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New Metrics for Evolving Risks to Human and Wildlife Health./
作者:	Grewelle, Richard Ernest.
面頁冊數:	1 online resource (485 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
Contained By:	Dissertations Abstracts International84-04A.
標題:	Viruses. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29342320click for full text (PQDT)
ISBN:	9798351494029

New Metrics for Evolving Risks to Human and Wildlife Health.
Grewelle, Richard Ernest.

New Metrics for Evolving Risks to Human and Wildlife Health. - 1 online resource (485 pages)

Source: Dissertations Abstracts International, Volume: 84-04, Section: A.

Thesis (Ph.D.)--Stanford University, 2022.

Includes bibliographical references

Humans are altering the global environment at a rapid pace, which impacts ecosystems and creates opportunities for the spread of infectious diseases to new species. Healthy ecosystems are often dependent on healthy human populations and vice versa. However, resolving risks to human and wildlife populations requires insights provided by a scale of data that is not often available. New modeling approaches can be used to maximize the use of available data to achieve critical insights. In this dissertation, my collaborators and I develop new analytical and statistical approaches to understand the magnitude of risks to the health of human or wildlife populations and provide practical knowledge to mitigate those risks. We first examine the seasonal risk of spillover of a pathogenic acanthocephalan parasite to southern sea otters, which we find is driven by intermediate host population dynamics and sea otter foraging behavior. Then, we investigate the relationship between the genome sizes of viruses and their potential to spillover into new species by comparing the genomes of zoonotic and non-zoonotic viruses. We find that larger genomes increase spillover risk. The risk of death from viruses is difficult to discern due to incomplete sampling of affected individuals. We develop a statistical method to calculate the true risk of death for COVID-19 across countries and find this risk in the early stages of the pandemic was approximately 1\\%. Lastly, we investigate through a diverse set of population genetic and epidemiological modeling how emerging gene drive technology can mitigate human risk to schistosomiasis. We find that schistosomiasis can be reduced under select conditions, such as low selfing rate in snail intermediate hosts. Together these chapters demonstrate how to leverage new quantitative approaches to guide conservation and disease management decisions, each important aspects of human and wildlife health.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798351494029Subjects--Topical Terms:

571474
Viruses.
Index Terms--Genre/Form:

542853
Electronic books.

New Metrics for Evolving Risks to Human and Wildlife Health.
LDR:03311nmm a2200385K 4500 001 2359824
005 20230917195257.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798351494029
035 $a (MiAaPQ)AAI29342320
035 $a (MiAaPQ)STANFORDnh884fc0836
035 $a AAI29342320
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Grewelle, Richard Ernest. $3 3700439
245 1 0 $a New Metrics for Evolving Risks to Human and Wildlife Health.
264 0 $c 2022
300 $a 1 online resource (485 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
500 $a Advisor: Lowe, Christopher; Miller, Melissa; Mordecai, Erin; Pringle, John R. ;de Leo, Giulio.
502 $a Thesis (Ph.D.)--Stanford University, 2022.
504 $a Includes bibliographical references
520 $a Humans are altering the global environment at a rapid pace, which impacts ecosystems and creates opportunities for the spread of infectious diseases to new species. Healthy ecosystems are often dependent on healthy human populations and vice versa. However, resolving risks to human and wildlife populations requires insights provided by a scale of data that is not often available. New modeling approaches can be used to maximize the use of available data to achieve critical insights. In this dissertation, my collaborators and I develop new analytical and statistical approaches to understand the magnitude of risks to the health of human or wildlife populations and provide practical knowledge to mitigate those risks. We first examine the seasonal risk of spillover of a pathogenic acanthocephalan parasite to southern sea otters, which we find is driven by intermediate host population dynamics and sea otter foraging behavior. Then, we investigate the relationship between the genome sizes of viruses and their potential to spillover into new species by comparing the genomes of zoonotic and non-zoonotic viruses. We find that larger genomes increase spillover risk. The risk of death from viruses is difficult to discern due to incomplete sampling of affected individuals. We develop a statistical method to calculate the true risk of death for COVID-19 across countries and find this risk in the early stages of the pandemic was approximately 1\\%. Lastly, we investigate through a diverse set of population genetic and epidemiological modeling how emerging gene drive technology can mitigate human risk to schistosomiasis. We find that schistosomiasis can be reduced under select conditions, such as low selfing rate in snail intermediate hosts. Together these chapters demonstrate how to leverage new quantitative approaches to guide conservation and disease management decisions, each important aspects of human and wildlife health.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Viruses. $3 571474
650 4 $a Genomes. $3 592593
650 4 $a Coronaviruses. $3 894828
650 4 $a Zoonoses. $3 828249
650 4 $a Peritonitis. $3 3663911
650 4 $a COVID-19. $3 3554449
650 4 $a Tropical diseases. $3 3559964
650 4 $a Disease transmission. $3 3560843
650 4 $a Animal diseases. $3 3181862
650 4 $a Epidemiology. $3 568544
650 4 $a Ethics. $3 517264
650 4 $a Genetics. $3 530508
650 4 $a Medicine. $3 641104
650 4 $a Virology. $3 642304
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0476
690 $a 0766
690 $a 0394
690 $a 0369
690 $a 0564
690 $a 0720
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Stanford University. $3 754827
773 0 $t Dissertations Abstracts International $g 84-04A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29342320 $z click for full text (PQDT)