Graph slides


	Data analysis can almost be an life long work! Therefore the community needs to Prioritize data-analyses. What question needs to be answered first?
	Types of data
		Primary data collected by the community and analyzed by the community. Where as secondary data was collected by someone else and I do the analyses.
		Quantitative just the numbers please!
		Prevalence this is how many people have a disease say cancer at a particular time ‘OLD’
	while incidence is the extent that people who do not have the disease develop it over a specific time (Timmreck) ‘NEW’
	Causality is when the data supports that A causes B. Living by this contaminated site in Baltimore city has caused my cancer. Unfortunately Science has not kept up with environmental changes….there are over 70,000 new chemicals just since 1970!
	Multiple exposures” are very hard to quantify!! Environmental exposures are very difficult to PROVE. But there are definite cases out there-Love Canal. well funded research projects are going on!
	More importantly the community needs to focus on what it looks like! How does this community compare to other communities, the state, or the nation. Are there disease clusters in the community or high rates of certain diseases-that information is very important and obtainable! How helpful it would have been if Love Canal residents had done a simple survey-5 years before!
	OK so you work hard and do the survey nothing shows up-great but now you know what the diseases are and what the community looks like. The community can then do follow up in 2,5 years!
	Moving on to Qualitative data the ‘perceived view’ what did the person want to tell you? Qualitative data-gives a voice to that community member!
	There is some debate about which data is better: Quantitative or Qualitative
		I think both types have their function and importance.