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#:"(allfields_unstemmed:2019-nCov OR allfields:2019nCov OR allfields_unstemmed:2019nCov OR allfields_unstemmed:Sars-CoV-2 OR allfields_unstemmed:COVID-19 OR allfields_unstemmed:Sars-CoV-2 OR allfields_unstemmed:COVID-19 NOT format:Book NOT collection_details:ZDB-2-SEB)"
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PubPharm (30)
1
Modelling SARS-CoV-2 Dynamics: Implications for Therapy
enthalten in:
bioRxiv.org
| 2024
von
Kim, K.
|
Ejima, K.
|
Ito, Y.
| +8
Wird geladen...
2
Designing isolation guidelines for COVID-19 patients utilizing rapid antigen tests: a simulation study using viral dynamics models
enthalten in:
bioRxiv.org
| 2024
von
Jeong, Y.
|
Ejima, K.
|
Kim, K.
| +8
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3
Stratification of viral shedding patterns in saliva of COVID-19 patients
enthalten in:
bioRxiv.org
| 2024
von
Park, H.
|
Yoshimura, R.
|
Iwanami, S.
| +13
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4
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
enthalten in:
PLoS computational biology
| 2023
von
Zhang, K.
|
Xia, Z.
|
Huang, S.
| +5
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5
Relationship between the inclusion/exclusion criteria and sample size in randomized controlled trials for SARS-CoV-2 entry inhibitors
enthalten in:
Journal of theoretical biology
| 2023
von
Tatematsu, D.
|
Akao, M.
|
Park, H.
| +3
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6
Rethinking antiviral effects for COVID-19 in clinical studies: early initiation is key to successful treatment
enthalten in:
bioRxiv.org
| 2022
von
Iwanami, S.
|
Ejima, K.
|
Su Kim, K.
| +17
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7
Designing isolation guidelines for COVID-19 patients with rapid antigen tests
enthalten in:
Nature communications
| 2022
von
Jeong, Y.
|
Ejima, K.
|
Kim, K.
| +9
UpdateOf: medRxiv. 2022 Jan 25;:. - PMID 35118478
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8
Estimation of timing of infection from longitudinal SARS-CoV-2 viral load data : mathematical modelling study
enthalten in:
BMC infectious diseases
| 2022
von
Ejima, K.
|
Kim, K.
|
Bento, A.
| +5
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9
Estimation of timing of infection from longitudinal SARS-CoV-2 viral load data: mathematical modelling study
enthalten in:
BMC infectious diseases
| 2022
von
Ejima, K.
|
Kim, K.
|
Bento, A.
| +5
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10
Estimation of timing of infection from longitudinal SARS-CoV-2 viral load data: mathematical modelling study
enthalten in:
BMC infectious diseases
| 2022
von
Ejima, K.
|
Kim, K.
|
Bento, A.
| +5
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medRxiv : the preprint server for health sciences
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1
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1
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1
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1
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