| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A beta regression analysis of COVID-19 mortality in Brazil
|
Cribari-Neto, Francisco
|
|
|
|
2 |
p. 309-317
|
artikel
|
| 2 |
A discrete-time susceptible-infectious-recovered-susceptible model for the analysis of influenza data
|
Bucyibaruta, Georges
|
|
|
|
2 |
p. 471-483
|
artikel
|
| 3 |
A mathematical model to assess the impact of testing and isolation compliance on the transmission of COVID-19
|
Gao, Shasha
|
|
|
|
2 |
p. 427-444
|
artikel
|
| 4 |
An AI-empowered indoor digital contact tracing system for COVID-19 outbreaks in residential care homes
|
Meng, Jiahui
|
|
|
|
2 |
p. 474-482
|
artikel
|
| 5 |
Analysis and simulation of a stochastic COVID-19 model with large-scale nucleic acid detection and isolation measures: A case study of the outbreak in Urumqi, China in August 2022
|
Zeng, Ting
|
|
|
|
2 |
p. 356-373
|
artikel
|
| 6 |
An assessment of the potential impact of the Omicron variant of SARS-CoV-2 in Aotearoa New Zealand
|
Vattiato, Giorgia
|
|
|
|
2 |
p. 94-105
|
artikel
|
| 7 |
A novel approach to model the role of mobility suppression and vaccinations in containing epidemics in a network of cities
|
Alrawas, Leen
|
|
|
|
2 |
p. 397-410
|
artikel
|
| 8 |
A primer on stable parameter estimation and forecasting in epidemiology by a problem-oriented regularized least squares algorithm
|
Smirnova, Alexandra
|
|
2017
|
|
2 |
p. 268-275
8 p.
|
artikel
|
| 9 |
A primer on stochastic epidemic models: Formulation, numerical simulation, and analysis
|
Allen, Linda J.S.
|
|
2017
|
|
2 |
p. 128-142
15 p.
|
artikel
|
| 10 |
Assessing parameter sensitivity in a university campus COVID-19 model with vaccinations
|
Childs, Meghan Rowan
|
|
|
|
2 |
p. 374-389
|
artikel
|
| 11 |
Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach
|
Waseel, Farhad
|
|
|
|
2 |
p. 527-556
|
artikel
|
| 12 |
Assessing the efficacy of health countermeasures on arrival time of infectious diseases
|
Asai, Yusuke
|
|
|
|
2 |
p. 603-616
|
artikel
|
| 13 |
Assessing the impact of interventions on the major Omicron BA.2 outbreak in spring 2022 in Shanghai
|
Liu, Hengcong
|
|
|
|
2 |
p. 519-526
|
artikel
|
| 14 |
A transmission dynamics model of COVID-19: Case of Cameroon
|
Tadmon, Calvin
|
|
|
|
2 |
p. 211-249
|
artikel
|
| 15 |
Balancing timeliness of reporting with increasing testing probability for epidemic data
|
Pritchard, Alexander J.
|
|
|
|
2 |
p. 106-116
|
artikel
|
| 16 |
Climate variability and infectious diseases nexus: Evidence from Sweden
|
Amuakwa-Mensah, Franklin
|
|
2017
|
|
2 |
p. 203-217
15 p.
|
artikel
|
| 17 |
Co-dynamics of COVID-19 and TB with COVID-19 vaccination and exogenous reinfection for TB: An optimal control application
|
Kifle, Zenebe Shiferaw
|
|
|
|
2 |
p. 574-602
|
artikel
|
| 18 |
Computing R 0 of dynamic models by a definition-based method
|
Guo, Xiaohao
|
|
|
|
2 |
p. 196-210
|
artikel
|
| 19 |
Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study
|
Huang, Jie-feng
|
|
|
|
2 |
p. 127-137
|
artikel
|
| 20 |
Dynamics of novel COVID-19 in the presence of Co-morbidity
|
Saha, Amit Kumar
|
|
|
|
2 |
p. 138-160
|
artikel
|
| 21 |
Early estimation of the number of hidden HIV infected subjects: An extended Kalman filter approach
|
Di Giamberardino, Paolo
|
|
|
|
2 |
p. 341-355
|
artikel
|
| 22 |
Estimating geographic variation of infection fatality ratios during epidemics
|
Ladau, Joshua
|
|
|
|
2 |
p. 634-643
|
artikel
|
| 23 |
Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis
|
Musa, Salihu S.
|
|
|
|
2 |
p. 601-617
|
artikel
|
| 24 |
Exploring predictive frameworks for malaria in Burundi
|
Mfisimana, Lionel Divin
|
|
|
|
2 |
p. 33-44
|
artikel
|
| 25 |
First-wave COVID-19 daily cases obey gamma law
|
Duchesne, Jean
|
|
|
|
2 |
p. 64-74
|
artikel
|
| 26 |
Forecast for peak infections in the second wave of the Omicron after the adjustment of zero-COVID policy in the mainland of China
|
Wang, Sheng-Tao
|
|
|
|
2 |
p. 562-573
|
artikel
|
| 27 |
Forecasting the spread of the COVID-19 pandemic in Kenya using SEIR and ARIMA models
|
Kiarie, Joyce
|
|
|
|
2 |
p. 179-188
|
artikel
|
| 28 |
Global stability for age-infection-structured human immunodeficiency virus model with heterogeneous transmission
|
Zhang, Juping
|
|
|
|
2 |
p. 437-457
|
artikel
|
| 29 |
Heterogeneous epidemic modelling within an enclosed space and corresponding Bayesian estimation
|
Wen, Conghua
|
|
|
|
2 |
p. 1-24
|
artikel
|
| 30 |
Impact of infectious density-induced additional screening and treatment saturation on COVID-19: Modeling and cost-effective optimal control
|
Lamba, Sonu
|
|
|
|
2 |
p. 569-600
|
artikel
|
| 31 |
Incorporating the mutational landscape of SARS-COV-2 variants and case-dependent vaccination rates into epidemic models
|
Chowdhury, Mohammad Mihrab
|
|
|
|
2 |
p. 75-82
|
artikel
|
| 32 |
Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey
|
McCabe, Ruth
|
|
|
|
2 |
p. 299-313
|
artikel
|
| 33 |
In-host modeling
|
Ciupe, Stanca M.
|
|
2017
|
|
2 |
p. 188-202
15 p.
|
artikel
|
| 34 |
Mathematical epidemiology: Past, present, and future
|
Brauer, Fred
|
|
2017
|
|
2 |
p. 113-127
15 p.
|
artikel
|
| 35 |
Mathematical modeling of contact tracing and stability analysis to inform its impact on disease outbreaks; an application to COVID-19
|
Ladib, Mohamed
|
|
|
|
2 |
p. 329-353
|
artikel
|
| 36 |
Mathematical modelling for Zoonotic Visceral Leishmaniasis dynamics: A new analysis considering updated parameters and notified human Brazilian data
|
Shimozako, Helio Junji
|
|
2017
|
|
2 |
p. 143-160
18 p.
|
artikel
|
| 37 |
Mathematical model of Zika virus with vertical transmission
|
Agusto, F.B.
|
|
2017
|
|
2 |
p. 244-267
24 p.
|
artikel
|
| 38 |
Modeling Lyme disease transmission
|
Lou, Yijun
|
|
2017
|
|
2 |
p. 229-243
15 p.
|
artikel
|
| 39 |
Modelling COVID-19 epidemic with confirmed cases-driven contact tracing quarantine
|
Wu, Fei
|
|
|
|
2 |
p. 415-426
|
artikel
|
| 40 |
Modelling COVID-19 outbreak on the Diamond Princess ship using the public surveillance data
|
Zhao, Shi
|
|
|
|
2 |
p. 189-195
|
artikel
|
| 41 |
Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model
|
Parolini, Nicola
|
|
|
|
2 |
p. 45-63
|
artikel
|
| 42 |
Modelling the impact of antimalarial quality on the transmission of sulfadoxine-pyrimethamine resistance in Plasmodium falciparum
|
Brock, Aleisha R.
|
|
2017
|
|
2 |
p. 161-187
27 p.
|
artikel
|
| 43 |
Modelling the preventive treatment under media impact on tuberculosis: A comparison in four regions of China
|
Zhang, Jun
|
|
|
|
2 |
p. 483-500
|
artikel
|
| 44 |
Modelling the unexpected dynamics of COVID-19 in Manaus, Brazil
|
He, Daihai
|
|
|
|
2 |
p. 557-568
|
artikel
|
| 45 |
Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation
|
Li, Xin-Chen
|
|
|
|
2 |
p. 618-633
|
artikel
|
| 46 |
Projections of the transmission of the Omicron variant for Toronto, Ontario, and Canada using surveillance data following recent changes in testing policies
|
Yuan, Pei
|
|
|
|
2 |
p. 83-93
|
artikel
|
| 47 |
Publisher's note
|
|
|
|
|
2 |
p. A1
|
artikel
|
| 48 |
Quantitative analysis of the impact of various urban socioeconomic indicators on search-engine-based estimation of COVID-19 prevalence
|
Wang, Ligui
|
|
|
|
2 |
p. 117-126
|
artikel
|
| 49 |
Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report
|
Nunes, Marta C.
|
|
|
|
2 |
p. 501-518
|
artikel
|
| 50 |
Role of vector resistance and grafting infection in Huanglongbing control models
|
Tang, Shuimei
|
|
|
|
2 |
p. 491-513
|
artikel
|
| 51 |
SARS-CoV-2: Air pollution highly correlated to the increase in mortality. The case of Guadalajara, Jalisco, México
|
Torres-Anguiano, Elizabeth
|
|
|
|
2 |
p. 445-457
|
artikel
|
| 52 |
Seroprevalence and infection attack rate of COVID-19 in Indian cities
|
Fei, Yiming
|
|
|
|
2 |
p. 25-32
|
artikel
|
| 53 |
Shigellosis seasonality and transmission characteristics in different areas of China: A modelling study
|
Zhao, Zeyu
|
|
|
|
2 |
p. 161-178
|
artikel
|
| 54 |
Spatio-temporal clustering analysis of COVID-19 cases in Johor
|
Foo, Fong Ying
|
|
|
|
2 |
p. 387-396
|
artikel
|
| 55 |
Spatio-temporal spread of infectious pathogens of humans
|
Arino, Julien
|
|
2017
|
|
2 |
p. 218-228
11 p.
|
artikel
|
| 56 |
Studying the efficacy of isolation as a control strategy and elimination of tuberculosis in India: A mathematical model
|
Bhadauria, Archana Singh
|
|
|
|
2 |
p. 458-470
|
artikel
|
| 57 |
Studying the mixed transmission in a community with age heterogeneity: COVID-19 as a case study
|
Wang, Xiaoying
|
|
|
|
2 |
p. 250-260
|
artikel
|
| 58 |
SubEpiPredict: A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework
|
Chowell, Gerardo
|
|
|
|
2 |
p. 411-436
|
artikel
|
| 59 |
The convergence epidemic volatility index (cEVI) as an alternative early warning tool for identifying waves in an epidemic
|
Pateras, Konstantinos
|
|
|
|
2 |
p. 484-490
|
artikel
|
| 60 |
The effect of mixed vaccination rollout strategy: A modelling study
|
Stollenwerk, Nico
|
|
|
|
2 |
p. 318-340
|
artikel
|
| 61 |
The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China
|
Wang, Xiaomeng
|
|
|
|
2 |
p. 390-402
|
artikel
|
| 62 |
The lockdown and vaccination distribution in Thailand's COVID-19 epidemic: A model study
|
Polwiang, Sittisede
|
|
|
|
2 |
p. 551-561
|
artikel
|
| 63 |
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
|
|
|
|
2 |
p. 373-386
|
artikel
|
| 64 |
The relationship between controllability, optimal testing resource allocation, and incubation-latent period mismatch as revealed by COVID-19
|
Demers, Jeffery
|
|
|
|
2 |
p. 514-538
|
artikel
|
| 65 |
The trade-off between COVID-19 and mental diseases burden during a lockdown: Mathematical modeling of control measures
|
Romanyukha, Alexei Alexeevich
|
|
|
|
2 |
p. 403-414
|
artikel
|
| 66 |
Understanding the impact of disease and vaccine mechanisms on the importance of optimal vaccine allocation
|
Abell, Isobel R.
|
|
|
|
2 |
p. 539-550
|
artikel
|
| 67 |
Unravelling COVID-19 waves in Rio de Janeiro city: Qualitative insights from nonlinear dynamic analysis
|
Reis, Adriane S.
|
|
|
|
2 |
p. 314-328
|
artikel
|
| 68 |
Valuation and comparison of the actual and optimal control strategy in an emerging infectious disease: Implication from a COVID-19 transmission model
|
Liu, Lili
|
|
|
|
2 |
p. 354-372
|
artikel
|
| 69 |
Within-host models unravelling the dynamics of dengue reinfections
|
Anam, Vizda
|
|
|
|
2 |
p. 458-473
|
artikel
|
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