Closed jeffkaufman closed 1 year ago
Wrote a script:
A:
1103 Summit
42554 Lucas
51842 Cuyahoga
95150 Montgomery
123000 Hamilton
159154 Cuyahoga
B:
37 Trumbull
500 Lorain
1000 Erie
2000 Richland
6000 Clark
6500 Muskingum
C:
554 Lucas
9842 Cuyahoga
40897 Summit
53150 Montgomery
165000 Hamilton
180000 Hamilton
D:
555 Lawrence
1000 Portage
1362 Crawford
1500 Clinton
2000 Darke
2169 Belmont
E:
0 Sandusky
323 Union
464 Athens
697 Fairfield
2000 Wayne
3000 Butler
F:
4060 Franklin
4817 Franklin
125846 Cuyahoga
162000 Hamilton
286103 Summit
327554 Lucas
G:
0 Licking
1160 Greene
2500 Muskingum
3000 Hancock
7000 Richland
8850 Montgomery
H:
183 Franklin
9060 Franklin
130846 Cuyahoga
167000 Hamilton
291103 Summit
332554 Lucas
I:
160 Greene
1000 Licking
1500 Muskingum
4000 Hancock
6000 Richland
8037 Trumbull
J:
0 Montogmerry
469 Mahoning
4000 Allen
5000 Clark
7000 Lorain
10000 Erie
All of these are clear except F, but both top possibilities for F are in Franklin County.
This gives us:
site_counties = {
"A": "Summit",
"B": "Trumbull",
"C": "Lucas",
"D": "Lawrence",
"E": "Sandusky",
"F": "Franklin",
"G": "Licking",
"H": "Franklin",
"I": "Greene",
"J": "Montogmery",
}
Great work! Will thus get state-level numbers for Ohio.
@simonleandergrimm this means we can use county-level info for Ohio
Spurbeck 2023 doesn't name its counties, but it does (a) say their populations and (b) say they're sites in the Ohio Wastewater Monitoring Network. Maybe this is enough to let us connect county-level prevalence to relative abundance?
https://storymaps.arcgis.com/stories/0fc051c015dc4e8b9a80b76cdf406b24 has a list of sites and the sizes of the populations they serve.