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Deep phenotyping for precision medicine in Parkinson's disease
Deep phenotyping for precision medicine in Parkinson's disease
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Deep phenotyping for precision medicine in Parkinson's disease

Disease models & mechanisms, 2022-06, Vol.15 (6) [Peer Reviewed Journal]

2022. Published by The Company of Biologists Ltd. ;2022. This work is licensed under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022. Published by The Company of Biologists Ltd 2022 ;ISSN: 1754-8403 ;EISSN: 1754-8411 ;DOI: 10.1242/dmm.049376 ;PMID: 35647913

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2
The Australian public health response to the H1N1 pandemic
The Australian public health response to the H1N1 pandemic
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The Australian public health response to the H1N1 pandemic

Australian journal of emergency management, 2016-07, Vol.31 (3), p.21-25 [Peer Reviewed Journal]

2016. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1324-1540 ;EISSN: 2204-2288

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3
Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States
Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States
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Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States

arXiv.org, 2021-09

2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2107.14350

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4
What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic
What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic
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What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic

arXiv.org, 2022-09

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2209.13595

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5
Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge
Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge
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Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge

arXiv.org, 2022-06

2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2206.01696

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6
The test-negative design with additional population controls: a practical approach to rapidly obtain information on the causes of the SARS-CoV-2 epidemic
The test-negative design with additional population controls: a practical approach to rapidly obtain information on the causes of the SARS-CoV-2 epidemic
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The test-negative design with additional population controls: a practical approach to rapidly obtain information on the causes of the SARS-CoV-2 epidemic

arXiv.org, 2020-07

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2004.06033

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7
Barriers to accessing services and assistance during COVID-19: learning from those directly affected
Barriers to accessing services and assistance during COVID-19: learning from those directly affected
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magazinearticle 		Add to My Research

Barriers to accessing services and assistance during COVID-19: learning from those directly affected

Forced migration review, 2021-07 (67), p.33-35 [Peer Reviewed Journal]

2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1460-9819 ;EISSN: 2051-3070

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  1. Peer-reviewed Journals (3)
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