aa0473fef6a1e52e94754dd16bb31365da606135369c26135580e64b65e61da7  LICENSE.txt
5c47496418aa6a8d7144fb2769cdd47ff5925dae0486a78225988063b1f2ff5e  METHODS.md
d3e404f503d9bdef9026cf0275f6c4b54b29fa3a7e806990b94a589b7eb699c1  README.md
e16487488f2da3d51a3e87bb3bd1336e37e94d9769a697f0781ee29ced0b7afa  all-countries.csv
1e135dec6ec0e988d6bd06c9204801bbd4275664bed27ad71cac6329c2cb7abe  analyze.py
08edcca25cc53ccebe1837a332b9081ed0ac971e83063345990ada3034ebd2ae  eligibility.json
86b5bf0ee52a5c1f9396836b140b56d67762f8f112f9ec180bce301c2f4be86a  observations.csv
88fad278f2789d7c06e61bd9a6f029d9bdf9fdb357c1013799cdfef9db76acc1  provenance.json
99cff8111798533505d7f5fdccaa951c980c45c4033924db0084285366b64ef1  results.json
