| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A follow up study of cycle threshold values of SARS-CoV-2 in Hunan Province, China
|
Abudurusuli, Guzainuer
|
|
|
8 |
1 |
p. 203-211
|
artikel
|
| 2 |
Analysis of SIRVI model with time dependent coefficients and the effect of vaccination on the transmission rate and COVID-19 epidemic waves
|
Alshammari, Fehaid Salem
|
|
|
8 |
1 |
p. 172-182
|
artikel
|
| 3 |
A new mixed agent-based network and compartmental simulation framework for joint modeling of related infectious diseases- application to sexually transmitted infections
|
Gopalappa, Chaitra
|
|
|
8 |
1 |
p. 84-100
|
artikel
|
| 4 |
Assessing the effectiveness of the intervention measures of COVID-19 in China based on dynamical method
|
Wei, Xiaomeng
|
|
|
8 |
1 |
p. 159-171
|
artikel
|
| 5 |
Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia
|
Liu, Mutong
|
|
|
8 |
1 |
p. 253-269
|
artikel
|
| 6 |
Comparing the transmission potential from sequence and surveillance data of 2009 North American influenza pandemic waves
|
Duvvuri, Venkata R.
|
|
|
8 |
1 |
p. 240-252
|
artikel
|
| 7 |
Contact pattern, current immune barrier, and pathogen virulence determines the optimal strategy of further vaccination
|
Guo, Xiaohao
|
|
|
8 |
1 |
p. 192-202
|
artikel
|
| 8 |
Likelihood-based estimation and prediction for a measles outbreak in Samoa
|
Wu, David
|
|
|
8 |
1 |
p. 212-227
|
artikel
|
| 9 |
Modelling epidemic growth models for lumpy skin disease cases in Thailand using nationwide outbreak data, 2021–2022
|
Moonchai, Sompop
|
|
|
8 |
1 |
p. 282-293
|
artikel
|
| 10 |
Modelling the impact of timelines of testing and isolation on disease control
|
Li, Ao
|
|
|
8 |
1 |
p. 58-71
|
artikel
|
| 11 |
Observed versus estimated actual trend of COVID-19 case numbers in Cameroon: A data-driven modelling
|
Sandie, Arsène Brunelle
|
|
|
8 |
1 |
p. 228-239
|
artikel
|
| 12 |
Plausible explanation for the third COVID-19 wave in India and its implications
|
Triambak, S.
|
|
|
8 |
1 |
p. 183-191
|
artikel
|
| 13 |
Recursive Zero-COVID model and quantitation of control efforts of the Omicron epidemic in Jilin province
|
Rong, Xinmiao
|
|
|
8 |
1 |
p. 11-26
|
artikel
|
| 14 |
Revisiting classical SIR modelling in light of the COVID-19 pandemic
|
Kalachev, Leonid
|
|
|
8 |
1 |
p. 72-83
|
artikel
|
| 15 |
Simulating potential outbreaks of Delta and Omicron variants based on contact-tracing data: A modelling study in Fujian Province, China
|
Guo, Yichao
|
|
|
8 |
1 |
p. 270-281
|
artikel
|
| 16 |
Stochastic simulation of successive waves of COVID-19 in the province of Barcelona
|
Bosman, M.
|
|
|
8 |
1 |
p. 145-158
|
artikel
|
| 17 |
The effect of changing COVID-19 restrictions on the transmission rate in a veterinary clinic
|
Spence, Lee
|
|
|
8 |
1 |
p. 294-308
|
artikel
|
| 18 |
The impact of COVID-19 vaccination campaign in Hong Kong SAR China and Singapore
|
Yu, Boyu
|
|
|
8 |
1 |
p. 101-106
|
artikel
|
| 19 |
The malaria transmission in Anhui province China
|
Kamana, Eric
|
|
|
8 |
1 |
p. 1-10
|
artikel
|
| 20 |
The mechanism shaping the logistic growth of mutation proportion in epidemics at population scale
|
Zhao, Shi
|
|
|
8 |
1 |
p. 107-121
|
artikel
|
| 21 |
The transmission mechanism theory of disease dynamics: Its aims, assumptions and limitations
|
Garira, Winston
|
|
|
8 |
1 |
p. 122-144
|
artikel
|
| 22 |
Understanding the transmission pathways of Lassa fever: A mathematical modeling approach
|
Madueme, Praise-God Uchechukwu
|
|
|
8 |
1 |
p. 27-57
|
artikel
|
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