 My name is Banna Betz. I work here at the International Livestock Research Institute as a research scientist. I'm basically focusing on epidemiology of zoonotic diseases. And I've been here for the last 10 years or so. In our work, of course, you remember epidemiology has to capture various facets of disease transmission. It has been very interesting to include multiple aspects including gender in our work. And when we started including gender, especially when looking at drivers of diseases, we realized women really give you very detailed information on how processes occur or how things, how they get exposed to high risk situations. So I give you an example. We had a project in Tanariva looking at how irrigation enhances the transmission of vector bone, specifically mosquito bone diseases. And going through the activity patterns of men and women in the community, women were giving us much more detailed information on how they start their days activities, when they go to the farm, when they go to fetch water. And it was really nice for us to connect those pieces and see which instances lead to more mosquito human interactions. And so that really helped in developing what we are calling agent-based transmission dynamics for diseases. So that's one. The second one was working in North and Kenya. That's in Ithiola and Marsobet trying to understand antimicrobial resistance in milk, finding bacteria in milk which are resistant to antibiotics. And because women are the ones who do the milking, it was really quite good experience for us to get that information on when they realized the animals were sick, which treatments they had given the animals, and when the animals were milking had reduced their milk production because of infections. And so if you analyze all this information you realize with that detailed information we can get good data for analyzing where bacteria or resistance are likely to come from because of either use of antibiotics or contamination from the environment. So I can say the experiences I've had are very much biased towards data collection and so I can say we have been more extractive in terms of looking at gender roles. But what we are thinking about now doing is enhancing disease surveillance using information we get from women, and especially tying in for pruselosis surveillance in these areas because we know women are the ones who would get the first hand information on when cattle reduce milk production or a member of their family falls sick maybe with headache or such instances can be used to initiate or to develop that surveillance within human animal interfaces to help in management of sonotic diseases. Most of the work we have done thus far has very much been descriptive and I'm really hoping that we go much more and do much more deeper analysis on how gender contributes to our research and development agenda. In addition to finding better ways of analyzing data we should also find ways in which we can use information generated to help women and to develop, find ways of incorporating involving them in more development oriented interventions.