| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A co-interaction model of HIV and syphilis infection among gay, bisexual and other men who have sex with men
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David, Jummy Funke
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5 |
C |
p. 855-870
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artikel
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| 2 |
A COVID-19 epidemic model with latency period
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Liu, Z.
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5 |
C |
p. 323-337
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artikel
|
| 3 |
Adequacy of Logistic models for describing the dynamics of COVID-19 pandemic
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Abusam, Abdallah
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5 |
C |
p. 536-542
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artikel
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| 4 |
A hybrid model for HIV transmission among men who have sex with men
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Zhong, Chongpeng
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5 |
C |
p. 814-826
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artikel
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| 5 |
A multivariate analysis on spatiotemporal evolution of Covid-19 in Brazil
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Nascimento, Marcio Luis Ferreira
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5 |
C |
p. 670-680
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artikel
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| 6 |
Analysis of the outbreak of COVID-19 in Japan by SIQR model
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Odagaki, Takashi
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5 |
C |
p. 691-698
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artikel
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| 7 |
An evaluation of COVID-19 in Italy: A data-driven modeling analysis
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Ding, Yongmei
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5 |
C |
p. 495-501
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artikel
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| 8 |
A novel IDEA: The impact of serial interval on a modified-Incidence Decay and Exponential Adjustment (m-IDEA) model for projections of daily COVID-19 cases
|
Smith, Ben A.
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5 |
C |
p. 346-356
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artikel
|
| 9 |
An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)
|
Tang, Biao
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5 |
C |
p. 248-255
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artikel
|
| 10 |
A primer on model selection using the Akaike Information Criterion
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Portet, Stéphanie
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5 |
C |
p. 111-128
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artikel
|
| 11 |
A simple approach to estimate the instantaneous case fatality ratio: Using the publicly available COVID-19 surveillance data in Canada as an example
|
Zhao, Shi
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5 |
C |
p. 575-579
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artikel
|
| 12 |
A simple model for COVID-19
|
Arino, Julien
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5 |
C |
p. 309-315
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artikel
|
| 13 |
Bayesian inference for dynamical systems
|
Roda, Weston C.
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5 |
C |
p. 221-232
|
artikel
|
| 14 |
Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases
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de Oliveira, Anderson Castro Soares
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5 |
C |
p. 699-713
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artikel
|
| 15 |
Bidirectional impact of imperfect mask use on reproduction number of COVID-19: A next generation matrix approach
|
Fisman, David N.
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5 |
C |
p. 405-408
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artikel
|
| 16 |
Canada needs to rapidly escalate public health interventions for its COVID-19 mitigation strategies
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Scarabel, Francesca
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5 |
C |
p. 316-322
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artikel
|
| 17 |
Capacity-need gap in hospital resources for varying mitigation and containment strategies in India in the face of COVID-19 pandemic
|
Verma, Veenapani Rajeev
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5 |
C |
p. 608-621
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artikel
|
| 18 |
Contribution of high risk groups’ unmet needs may be underestimated in epidemic models without risk turnover: A mechanistic modelling analysis
|
Knight, Jesse
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5 |
C |
p. 549-562
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artikel
|
| 19 |
Controlling infection in predator-prey systems with transmission dynamics
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Cojocaru, M.-G.
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5 |
C |
p. 1-11
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artikel
|
| 20 |
COVID-19 prevalence estimation: Four most affected African countries
|
Lukman, Adewale F.
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5 |
C |
p. 827-838
|
artikel
|
| 21 |
Deterministic approaches for head lice infestations and treatments
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Castelletti, Noemi
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5 |
C |
p. 386-404
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artikel
|
| 22 |
Deterministic epidemic model for ( S V C S y C A s y I R ) pneumonia dynamics, with vaccination and temporal immunity
|
Otoo, Dominic
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5 |
C |
p. 42-60
|
artikel
|
| 23 |
Discrete time forecasting of epidemics
|
Villela, Daniel A.M.
|
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5 |
C |
p. 189-196
|
artikel
|
| 24 |
Early dynamics of transmission and projections of COVID-19 in some West African countries
|
Assob-Nguedia, Jules-Clement
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5 |
C |
p. 839-847
|
artikel
|
| 25 |
Early transmission dynamics of COVID-19 in a southern hemisphere setting: Lima-Peru: February 29th–March 30th, 2020
|
Munayco, César V.
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5 |
C |
p. 338-345
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artikel
|
| 26 |
Epidemics on networks: Reducing disease transmission using health emergency declarations and peer communication
|
Azizi, Asma
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5 |
C |
p. 12-22
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artikel
|
| 27 |
Estimates for Lyme borreliosis infections based on models using sentinel canine and human seroprevalence data
|
Cook, Michael J.
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|
5 |
C |
p. 871-888
|
artikel
|
| 28 |
Estimating effective reproduction number using generation time versus serial interval, with application to covid-19 in the Greater Toronto Area, Canada
|
Knight, Jesse
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|
5 |
C |
p. 889-896
|
artikel
|
| 29 |
Estimating epidemic exponential growth rate and basic reproduction number
|
Ma, Junling
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|
5 |
C |
p. 129-141
|
artikel
|
| 30 |
Estimative of real number of infections by COVID-19 in Brazil and possible scenarios
|
Cintra, H.P.C.
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5 |
C |
p. 720-736
|
artikel
|
| 31 |
Evaluation of the effect of the state of emergency for the first wave of COVID-19 in Japan
|
Kuniya, Toshikazu
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5 |
C |
p. 580-587
|
artikel
|
| 32 |
Generalized logistic growth modeling of the COVID-19 pandemic in Asia
|
Aviv-Sharon, Elinor
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|
5 |
C |
p. 502-509
|
artikel
|
| 33 |
Hidden heterogeneity and its influence on dengue vaccination impact
|
Walters, Magdalene
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5 |
C |
p. 783-797
|
artikel
|
| 34 |
IDM editorial statement on the 2019-nCoV
|
Shao, Yiming
|
|
|
5 |
C |
p. 233-234
|
artikel
|
| 35 |
Impact of dogs with deltamethrin-impregnated collars on prevalence of visceral leishmaniasis
|
Zahid, Mondal Hasan
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5 |
C |
p. 235-247
|
artikel
|
| 36 |
Internet search data could Be used as novel indicator for assessing COVID-19 epidemic
|
Li, Kang
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|
5 |
C |
p. 848-854
|
artikel
|
| 37 |
Mathematical epidemiology in a data-rich world
|
Arino, Julien
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|
5 |
C |
p. 161-188
|
artikel
|
| 38 |
Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
|
Anirudh, A.
|
|
|
5 |
C |
p. 366-374
|
artikel
|
| 39 |
Mathematical modelling on diffusion and control of COVID–19
|
Veera Krishna, M.
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|
|
5 |
C |
p. 588-597
|
artikel
|
| 40 |
Mathematical modelling on phase based transmissibility of Coronavirus
|
Krishna, M. Veera
|
|
|
5 |
C |
p. 375-385
|
artikel
|
| 41 |
Mathematical model of zika virus dynamics with vector control and sensitivity analysis
|
Biswas, Sudhanshu Kumar
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|
|
5 |
C |
p. 23-41
|
artikel
|
| 42 |
Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study
|
Dawoud, Issam
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|
5 |
C |
p. 748-754
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artikel
|
| 43 |
Modelling and simulating Chikungunya spread with an unstructured triangular cellular automata
|
Ortigoza, Gerardo
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|
5 |
C |
p. 197-220
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artikel
|
| 44 |
Modelling the daily risk of Ebola in the presence and absence of a potential vaccine
|
Abo, Stéphanie M.C.
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5 |
C |
p. 905-917
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artikel
|
| 45 |
Modelling the dynamics of exchanged novel coronavirus (2019-nCov) between regions in terms of time and space
|
Fioranelli, Massimo
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5 |
C |
p. 714-719
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artikel
|
| 46 |
Optimal control strategies for preventing hepatitis B infection and reducing chronic liver cirrhosis incidence
|
Khatun, Mst. Shanta
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|
5 |
C |
p. 91-110
|
artikel
|
| 47 |
Piecewise quadratic growth during the 2019 novel coronavirus epidemic
|
Brandenburg, Axel
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|
|
5 |
C |
p. 681-690
|
artikel
|
| 48 |
Prediction of the final size for COVID-19 epidemic using machine learning: A case study of Egypt
|
Amar, Lamiaa A.
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|
5 |
C |
p. 622-634
|
artikel
|
| 49 |
Predictive modeling of COVID-19 death cases in Pakistan
|
Daniyal, Muhammad
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|
|
5 |
C |
p. 897-904
|
artikel
|
| 50 |
Predictive modelling of COVID-19 confirmed cases in Nigeria
|
Ogundokun, Roseline O.
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|
|
5 |
C |
p. 543-548
|
artikel
|
| 51 |
Predict new cases of the coronavirus 19; in Michigan, U.S.A. or other countries using Crow-AMSAA method
|
Wang, Yanshuo
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|
|
5 |
C |
p. 459-477
|
artikel
|
| 52 |
Propagation analysis and prediction of the COVID-19
|
Li, Lixiang
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|
5 |
C |
p. 282-292
|
artikel
|
| 53 |
Pushing past the tipping points in containment trajectories of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics: A simple arithmetic rationale for crushing the curve instead of merely flattening it
|
Killeen, Gerry F.
|
|
|
5 |
C |
p. 362-365
|
artikel
|
| 54 |
Qualitative analysis of a stochastic SEITR epidemic model with multiple stages of infection and treatment
|
Otunuga, Olusegun Michael
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|
|
5 |
C |
p. 61-90
|
artikel
|
| 55 |
Reaction order and neural network approaches for the simulation of COVID-19 spreading kinetic in India
|
Chakraborty, Sourav
|
|
|
5 |
C |
p. 737-747
|
artikel
|
| 56 |
Real-time estimation and prediction of the mortality caused due to COVID-19 using particle swarm optimization and finding the most influential parameter
|
Makade, Rahul G.
|
|
|
5 |
C |
p. 772-782
|
artikel
|
| 57 |
Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020
|
Roosa, K.
|
|
|
5 |
C |
p. 256-263
|
artikel
|
| 58 |
Releasing Wolbachia-infected Aedes aegypti to prevent the spread of dengue virus: A mathematical study
|
Zhang, Hong
|
|
|
5 |
C |
p. 142-160
|
artikel
|
| 59 |
Replicating and projecting the path of COVID-19 with a model-implied reproduction number
|
Buckman, Shelby R.
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|
|
5 |
C |
p. 635-651
|
artikel
|
| 60 |
Sensitivity of UK Covid-19 deaths to the timing of suppression measures and their relaxation
|
Dagpunar, John S.
|
|
|
5 |
C |
p. 525-535
|
artikel
|
| 61 |
Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China
|
Yang, Qihui
|
|
|
5 |
C |
p. 563-574
|
artikel
|
| 62 |
Stochastic modelling for predicting COVID-19 prevalence in East Africa Countries
|
Takele, Rediat
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|
|
5 |
C |
p. 598-607
|
artikel
|
| 63 |
Stochastic model of measles transmission dynamics with double dose vaccination
|
Tilahun, Getachew Teshome
|
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|
5 |
C |
p. 478-494
|
artikel
|
| 64 |
Targeted adaptive isolation strategy for COVID-19 pandemic
|
Neufeld, Zoltan
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|
5 |
C |
p. 357-361
|
artikel
|
| 65 |
The Covid-19 outbreak in Spain. A simple dynamics model, some lessons, and a theoretical framework for control response
|
Guirao, Antonio
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5 |
C |
p. 652-669
|
artikel
|
| 66 |
The impact of implementing HIV prevention policies therapy and control strategy among HIV and AIDS incidence cases in Malaysia
|
Apenteng, Ofosuhene O.
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|
|
5 |
C |
p. 755-765
|
artikel
|
| 67 |
The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model
|
Al-Khani, Abdullah Murhaf
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|
5 |
C |
p. 766-771
|
artikel
|
| 68 |
To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic
|
Eikenberry, Steffen E.
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|
5 |
C |
p. 293-308
|
artikel
|
| 69 |
Transmission potential of the novel coronavirus (COVID-19) onboard the diamond Princess Cruises Ship, 2020
|
Mizumoto, Kenji
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|
5 |
C |
p. 264-270
|
artikel
|
| 70 |
Using data from ‘visible’ populations to estimate the size and importance of ‘hidden’ populations in an epidemic: A modelling technique
|
Foss, Anna M.
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|
5 |
C |
p. 798-813
|
artikel
|
| 71 |
Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example
|
Overton, Christopher E.
|
|
|
5 |
C |
p. 409-441
|
artikel
|
| 72 |
Why is it difficult to accurately predict the COVID-19 epidemic?
|
Roda, Weston C.
|
|
|
5 |
C |
p. 271-281
|
artikel
|
| 73 |
Why lockdown? Why national unity? Why global solidarity? Simplified arithmetic tools for decision-makers, health professionals, journalists and the general public to explore containment options for the 2019 novel coronavirus
|
Killeen, Gerry F.
|
|
|
5 |
C |
p. 442-458
|
artikel
|
| 74 |
Will an imperfect vaccine curtail the COVID-19 pandemic in the U.S.?
|
Iboi, Enahoro A.
|
|
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5 |
C |
p. 510-524
|
artikel
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