| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An AI-empowered indoor digital contact tracing system for COVID-19 outbreaks in residential care homes
|
Meng, Jiahui
|
|
|
9 |
2 |
p. 474-482
|
artikel
|
| 2 |
A novel approach to model the role of mobility suppression and vaccinations in containing epidemics in a network of cities
|
Alrawas, Leen
|
|
|
9 |
2 |
p. 397-410
|
artikel
|
| 3 |
Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach
|
Waseel, Farhad
|
|
|
9 |
2 |
p. 527-556
|
artikel
|
| 4 |
Assessing the impact of interventions on the major Omicron BA.2 outbreak in spring 2022 in Shanghai
|
Liu, Hengcong
|
|
|
9 |
2 |
p. 519-526
|
artikel
|
| 5 |
Estimating geographic variation of infection fatality ratios during epidemics
|
Ladau, Joshua
|
|
|
9 |
2 |
p. 634-643
|
artikel
|
| 6 |
Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis
|
Musa, Salihu S.
|
|
|
9 |
2 |
p. 601-617
|
artikel
|
| 7 |
Global stability for age-infection-structured human immunodeficiency virus model with heterogeneous transmission
|
Zhang, Juping
|
|
|
9 |
2 |
p. 437-457
|
artikel
|
| 8 |
Impact of infectious density-induced additional screening and treatment saturation on COVID-19: Modeling and cost-effective optimal control
|
Lamba, Sonu
|
|
|
9 |
2 |
p. 569-600
|
artikel
|
| 9 |
Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey
|
McCabe, Ruth
|
|
|
9 |
2 |
p. 299-313
|
artikel
|
| 10 |
Mathematical modeling of contact tracing and stability analysis to inform its impact on disease outbreaks; an application to COVID-19
|
Ladib, Mohamed
|
|
|
9 |
2 |
p. 329-353
|
artikel
|
| 11 |
Modelling the preventive treatment under media impact on tuberculosis: A comparison in four regions of China
|
Zhang, Jun
|
|
|
9 |
2 |
p. 483-500
|
artikel
|
| 12 |
Modelling the unexpected dynamics of COVID-19 in Manaus, Brazil
|
He, Daihai
|
|
|
9 |
2 |
p. 557-568
|
artikel
|
| 13 |
Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation
|
Li, Xin-Chen
|
|
|
9 |
2 |
p. 618-633
|
artikel
|
| 14 |
Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report
|
Nunes, Marta C.
|
|
|
9 |
2 |
p. 501-518
|
artikel
|
| 15 |
Spatio-temporal clustering analysis of COVID-19 cases in Johor
|
Foo, Fong Ying
|
|
|
9 |
2 |
p. 387-396
|
artikel
|
| 16 |
SubEpiPredict: A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework
|
Chowell, Gerardo
|
|
|
9 |
2 |
p. 411-436
|
artikel
|
| 17 |
The non-stationary and spatially varying associations between hand, foot and mouth disease and multiple environmental factors: A Bayesian spatiotemporal mapping model study
|
Shen, Li
|
|
|
9 |
2 |
p. 373-386
|
artikel
|
| 18 |
Unravelling COVID-19 waves in Rio de Janeiro city: Qualitative insights from nonlinear dynamic analysis
|
Reis, Adriane S.
|
|
|
9 |
2 |
p. 314-328
|
artikel
|
| 19 |
Valuation and comparison of the actual and optimal control strategy in an emerging infectious disease: Implication from a COVID-19 transmission model
|
Liu, Lili
|
|
|
9 |
2 |
p. 354-372
|
artikel
|
| 20 |
Within-host models unravelling the dynamics of dengue reinfections
|
Anam, Vizda
|
|
|
9 |
2 |
p. 458-473
|
artikel
|
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