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I live in the UK and work as a health economist for a non-profit organisation, developing cost-effectiveness and budget-impact models for use in decision-making. I have a background in mathematics, with the focus of my PhD thesis on the development of de novo mathematical models to describe chondral (cartilage) and osteochondral (cartilage and bone) knee defect regeneration by use of reaction-diffusion modelling. I first became interested in mathematical biology through my undergraduate studies in infectious disease modelling, so am keen to pick back up where I left off and learn how to programme infectious disease models in R.

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Hello! I am a tutor on MTMIDD. I am a Research Fellow in real-time modelling of infectious disease outbreaks in CMMID at LSHTM. My research interests are in the use of mathematical modelling to support preparedness and decision making during infectious disease outbreaks. Most recently I've been making and evaluating local-level forecasts of COVID-19 hospital admissions in England.

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I work at the LSHTM in mathematical modelling of infectious diseases. My research focuses on dynamics and control of vaccine preventable diseases and lies on the interface of epidemiology, economics, ecology and mathematics. Looking forward to meeting you all!

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I'm a PhD Scholar working on public health data science at Sree Chitra Tirunal Institute for Medical Sciences and Technology, India. I am a member of the R Epidemics Consortium (https://www.repidemicsconsortium.org) and also certified in Digital Health and Imaging in Healthcare from the Indian Institute of Science. My PhD work is focused on transforming health data into evidence for public health decision making. I am also involved with capacity building among public health professionals in health data science (https://amchss.github.io/RIntro2022/). I am also an avid reader and interested in astronomy.

You can reach out to me at dr.arunmitra@gmail.com

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I live in Vienna, Austria and study remotely through distance learning by the LSE-OUL. I look forward to learning about applications and fundamental ideas for modelling infectious diseases. I am very interested in studying epidemiological concepts statistical tools with R. I am studying this course to enhance my data science skills and learn more about mathematical modelling in this new area of interest. Lastly, I would like to apply to a Master's Degree Programme at the LSHTM.
- State one thing you have learned about yourself during the Covid-19 pandemic;
I have learned that spending time in nature/outdoors/parks is essential, and I appreciate the possibility of having access to these places and activities. I am looking forward to learning from all of you!

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I'm obsessively interested in reproducible, open, Science and am liable to get a bit overexcited when talking about it.

My current main areas of work are developing and evaluating methods for nowcasting right truncated data, developing and evaluating methods to forecast and understand variant dynamics, reconstructing unobserved infections from a range of data sources (such as count data and prevalence measures), and developing methods for the estimation of the effective reproduction number, the growth rate, and generation interval distribution as well as use cases for these estimates and understanding their interactions. If all of this sounded pretty exciting more here: samabbott.co.uk

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Hi all, you'll see me running some sessions on Tuesday and Wednesday morning as well as demonstrating across the first three days of the course.

I've been doing mathematical models of disease on and off since my undergrad in Australia. Most recently I've been helping out with LSHTM's COVID response and pre-vaccination testing for Dengvaxia to try to prevent instances of severe disease after first infection.

My PhD and postdoc work was on spatio-temporal models of both indoor and outdoor air pollution and its health impact, within-host dynamics of dengue, and citizen science projects on reef, jaguar and koala conservation.

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I am helping with some of the session demonstrations & leading the session on network-based models.

Most of the time I am working on evaluations for various infectious disease public health decisions, most recently lots on COVID-19 and various interventions, but also a wide variety of other pathogens. I also work a bit on trial design.

I use a mix of theoretical and applied computational approaches, though primarily work on large scale computations.

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I am a health economist based in Johannesburg, South Africa. I primarily work on infectious diseases such as HIV, TB, Covid-19. I currently work on the optimisation of diagnostic networks for these infectious diseases in low-resource settings. I usually interpret model outputs and use them as inputs into economic evaluations, so I am excited to get my hands dirty with the actually modelling and coding part.

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I am a PhD Student at the Robert Koch Institute in Germany. My background is on public health, epidemiology and surveillance of infectious diseases. I currently work on forcasting intensive care unit demands due to COVID-19. I have a little expertice in mathematical modelling and looking forward to learn more on this highly relevant topic, plus to meeting you all throughout this course!

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I co-organise the short course with Katie and Nick. I work at the LSHTM on the modelling of vaccine preventable diseases and on vaccine policy economic evaluation. I am originally from China but moved to the US when I was 18 for uni (and a couple of more degrees!). I can be reached via email (yang.liu@lshtm.ac.uk) or Twitter (yangliubeijing).

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I'm an infectious disease physician and researcher at Stanford University. My primary research interest is the impact of environmental changes on tropical infectious diseases, particularly mosquito-borne diseases. In the last two years, I've also been involved in COVID-19 epi and clinical trial research. I'm interested in the practical applications of mathematical modeling to answer public health questions in a rapidly changing environment. I'm excited to learn practical skills in building and evaluating mathematical models and to meet this like-minded group of people!

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I am a Professor at the Universidad Central de Venezuela. My background is the Ecology and my research is focused on ecology and epidemiology of mosquito-borne infectious diseases (and lately COVID-19). I teach ecology to undergraduate and postgraduate levels. I have used mainly statistical modeling in my research but I would like to learn more skills about epidemiological (mathematical) models to expand my view or way to focus my questions. Looking forward to learn and to meeting you all during this week!!

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I am a tutor on the MTMIDD shortcourse. I work as a mathematical modeller at LSHTM, mainly on assessing the risks of measles outbreaks in England and Wales. I hope you enjoy this course !

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I am a tutor for the MTMIDD short course. I am a mathematical modeller and epidemiologist at CMMID LSHTM. My work focuses on RSV seasonality and vaccination strategies. I also develop models for historical plague transmission. Looking forward to meeting you all!

Best wishes, Fabienne

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Hello everyone and it's my pleasure to meet all of you in this infectious disease modelling course! My research area is vaccine impact modelling with a focus on estimating the health, economic, and equity impact of vaccination programmes. Happy learning! (also, anytime in the future, I welcome collaborations related to estimating vaccination impact in different geographic settings, and you are welcome to contact me)

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I co-organise this short course with Nick and Yang. I work at LSHTM on Mathematical Modelling and Phylogenetics of infectious diseases including HIV and pneumococcus. Any questions, do email me on Katherine.Atkins@lshtm.ac.uk. Enjoy the course!

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Hello everyone,
My name is Lee Byrne and I'm the administrator for this course, so please feel free to contact me with any administrative queries you have by e-mailing: lee.byrne@lshtm.ac.uk

I'll mostly be supporting the course organisers in the background with Zoom, Moodle etc. but I hope you all have an enjoyable week and I look forward to meeting you all.

Lee Byrne

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Lee Professional Profile Photo (Headshot)