Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Lassa fever is an acute viral haemorrhagic fever illness, similar to Ebola, which is endemic in parts of West Africa. In the majority of people symptoms are mild, but in approximately 20% of infected individuals more serious symptoms may develop, which include haemorrhages (e.g. in gums or eyes), respiratory distress, and multiple organ failure which may lead to death. The virus is transmitted through the urine and faeces of infected rats and there are an estimated 100,000 to 300,000 annual cases worldwide. Lassa has been identified as a virus which potentially causes larger outbreaks, or even a pandemic, due to a long incubation period and the mild symptoms experienced by the majority of infected individuals, meaning the disease could spread via international travel. It has therefore been prioritised for vaccine development, including by international efforts such as the Coalition for Epidemic Preparedness Innovations' (CEPI).  

Risk of human exposure from rodent reservoirs hinges on factors relating to rodent ecology, including seasonal dynamics of the rodent population and human/rodent interaction patterns, with potential risk of human-to-human transmission, particularly in resource-poor health-care settings where personal protective equipment (PPE) may be lacking.  

In this project you will work with publicly available data on outbreaks of Lassa fever, and combine with other data sources to evaluate the current dynamics of infection. Depending on the interests of the student, we will work on statistical analyses of the past outbreaks or on transmission models to evaluate interventions to control transmission.

 

Weeks 1 and 2 - compiling publicly available data on outbreaks of Lassa fever

Weeks 3 and 4 - descriptive analyses of data and refinement of analysis plan

Weeks 5 and 6 - Analysing using statistical/transmission models

Weeks 7 and 8 - finalising and writing up results

                                                                                                                                      

Further information

WHO factsheet

CEPI priority diseases.

 

Our team