For surveillance and communications, we tend to throw lots of things at the wall and see what sticks. Some stick well (this blog). Others…not so much.
In the ‘not so much’ category was our first attempt at WormsAndGermsMap. It was a good concept, but the technology wasn’t ready at that point (at least for a low budget operation like ours).
But, tech advances and diseases march on, and informal disease mapping can be useful for various reasons. So, we’re trying again.
Here’s the launch of the new and improved WormsAndGermsMap.
It lets users report disease events. Those get plotted to a map, that’s filterable by species, disease and timeframe. Addresses are randomly plotted within a 5 km radius of the submitted location for privacy purposes, but this lets us get an idea of disease events in different areas. We keep the actual address on the back end in case we need to look a something with more resolution, such as a potential local outbreak.
You can filter by species, disease and timeframe. Clicking on a point provides some basic info (we have a bit more on the back end and people can add comments that we see, in case there’s more relevant information we should have.

A simple submission page let’s people report cases, which get recorded and plotted to the map (with addresses or GPS coordinates randomly plotted within a 5 km radius for privacy purposes).

Not much is present on the site yet since we’re focusing on crowd reporting. I’m adding some information that we have that I think is useful, but ongoing reporting is what we’re focusing on.
Why are we trying this again?
I get emails every week along the lines of “I think I’m seeing more of “X””
I also get lots of questions about what diseases are where.
Beyond that, I get questions like ‘we saw something unusual. Who can we report it to?”
Informal, crowd-based disease reporting and mapping can help with those. There are lots of limitations, since it’s just based on what people happen to report, not all infections or a subset collected as part of a structured surveillance program. We rely on the accuracy of what people report, since we aren’t making the diagnoses ourselves. A disease that develops in one area might not actually have been acquired there.
So, there are lots of limitations but also lots of potential educational and surveillance value.
We’re not trying to say “the incidence of this disease is X in this area” or “there’s been an increase in disease”.
We’re trying help raise awareness about diseases in different areas, identify and track high risk situations (e.g. canine influenza) and allow people to report unusual observations that might warrant more investigation or communication. Most of the time, an unusual observation is a typical disease acting atypically. Somethings, though, it’s the sign of something new.
We can also sometimes pick up emerging issues or local clusters of disease. We have to interpret the data with caution, but the data can still be useful.
So, we’ll see if it sticks or not. I think there’s a need. Whether it will get used enough to be useful….time will tell.









