 Gisteri nda artista kauti 4,5 milium dilegauwenpura mwaka nda kura, kai rahaidu mafrutia. Mafrutia nansata ama, mafrutia aroi dailo, mafrutia mwaka nda rila, kai raka, bumatinau, sdana kratia, tupi tata, mafrutia mafrutia nda kura, mwaka mwaka mafrutia rahaidu mafrutia tepe. Raka mafrutia mwaka mwaka sa kuimia mafrutia mwaka mwaka mwaka mwaka mwaka. Raka mafrutia mwaka mwaka mafrutia tata, 80% of people, samples that go to the lab don't have a bug identified. We don't know what's causing them to be sick. We want to understand that better so that we can put in some interventions to stop as many people getting sick. The methods that are currently used don't detect a whole bunch of different possible bugs that could be causing people to be ill. So I'm going to be looking at a particular group where we know some of them are bad bugs but there's a whole bunch that we're not quite sure whether they are or whether they aren't. So we need to develop some tools to detect them so that we can then identify whether they are or they're not. My tools are about testing people's fecal samples. So they use the DNA to look for certain species of bacteria. I'm just in the finishing stages of designing my tools but they're looking really promising. We have developed this type of tool for subtyping of bacteria so helping to identify smaller and smaller groups to understand them better. So we are hopeful that it will be very useful. It's cost effective and very quick. The current methods take days to get results. This will have a result within one day.