Dataset Open Access
"A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. dataset
Merski, Matthew
Raw, original data and fits data set for "A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. in EXCEL and GraphPad Prism file formats and FORTRAN code.
The work was supported by the National Science Centre, Poland [grant agreement 2014/15/D/NZ1/00968 to M.W.G.] and the EMBO Installation Grant, European Molecular Biology Organization to M.W.G.
Files
(9.9 MB)
| Name | Size | |
|---|---|---|
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Australia_FIT.pzfx
md5:c1c7ad5a8691f300f1ebef2edd4dbb38 |
104.2 kB | Download |
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Austria_FIT.pzfx
md5:d8e9f4c4571e3f4a79088a2052608ec3 |
140.4 kB | Download |
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Belgium_FIT.pzfx
md5:8add6151cf0ecdf1c2e5edf818133f15 |
241.5 kB | Download |
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Brazil_FIT.pzfx
md5:1ca8ef5abd2c43e4cf2b24507d858d72 |
326.4 kB | Download |
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Canada_FIT.pzfx
md5:a3156083808430d4f3bde11de736d543 |
315.5 kB | Download |
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China_FIT.pzfx
md5:6ae57f834d1e019c61f2de7fd2e2202f |
153.5 kB | Download |
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cleaner.f
md5:218c14b6dd091a021ba705f5983949e0 |
2.6 kB | Download |
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COVID-19-geographic-disbtribution-worldwide-2020-06-01.xlsx
md5:09c554bc1301c580a5c7fd09fa612362 |
981.6 kB | Download |
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COVID-19-geographic-disbtribution-worldwide-2020-10-05.xlsx
md5:94688f82246d02dcbff5053a9c10a14e |
2.4 MB | Download |
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Denmark_FIT.pzfx
md5:ea84a88223d206626e5285380e2980f6 |
112.6 kB | Download |
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expn_cleaner.f
md5:d98e1a64cdd426f41bedf171dfd0a25c |
2.6 kB | Download |
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France_FIT.pzfx
md5:97017631785781370b83eb29ff172f48 |
185.0 kB | Download |
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Germany_FIT.pzfx
md5:c157a8b18cfc239038ae5481b761bd3d |
168.3 kB | Download |
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gompertz_clean.f
md5:38f070d75d8a35dc6356f229f19e8173 |
2.6 kB | Download |
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India_FIT.pzfx
md5:a98e86c3281a0832cad9d5bee19ac663 |
306.2 kB | Download |
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Iran_FIT.pzfx
md5:db8970590521670016132d73e331caac |
445.5 kB | Download |
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Ireland_FIT.pzfx
md5:58786963a30697a4f2c3bfb7359853bd |
153.2 kB | Download |
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Israel_FIT.pzfx
md5:8bf85c9a6f3b43adfb547cb784c369b0 |
140.9 kB | Download |
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Italy_FIT.pzfx
md5:9dda71f1a9e126d27e65bec5b4f96830 |
201.7 kB | Download |
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Malaysia_FIT.pzfx
md5:d10c08b57816eb0c9724f1632549d10a |
149.8 kB | Download |
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Netherlands_FIT.pzfx
md5:4853085c7c06906e985a45482211c6cb |
208.3 kB | Download |
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Norway_FIT.pzfx
md5:923d668811c22a36d12171e9df179de1 |
125.7 kB | Download |
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Philipines_FIT.pzfx
md5:e5929088a07a46c8a9d25af216f9e758 |
316.3 kB | Download |
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Poland_FIT.pzfx
md5:7a675f540b1d8095b6e35c9144563032 |
320.9 kB | Download |
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Portugal_FIT.pzfx
md5:bc58c43de44b92c76e1134ed83a7f091 |
183.9 kB | Download |
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Russia_FIT.pzfx
md5:500559e4c23fc1d9d047316421b4d152 |
350.2 kB | Download |
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SouthKorea_FIT.pzfx
md5:7a860f89bf587689defe2afda58fb3c9 |
82.3 kB | Download |
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Spain_FIT.pzfx
md5:62fee54ab7bdef253519f271061f5951 |
163.4 kB | Download |
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Sweden_FIT.pzfx
md5:80b9c1d6f5c1b4383a5034caa7572eb8 |
391.8 kB | Download |
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Swiss_FIT.pzfx
md5:52a882287843395f722dda360a122301 |
137.4 kB | Download |
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TOTAL_Zero_One_Table_Final.xlsx
md5:a7b51003bfffc6c099c0c20deb7943db |
229.6 kB | Download |
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Turkey_FIT.pzfx
md5:8eee24a78254a5986cee839d11ceae65 |
158.4 kB | Download |
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UK_FIT.pzfx
md5:52ecb62ea299eee7c2b2714f7841918c |
263.9 kB | Download |
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USA_FIT.pzfx
md5:1126c5412f7ceb36aa235169d2084b3c |
378.3 kB | Download |
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zeroA.f
md5:5783d04ec67faeb3fc4885e2008eacae |
7.7 kB | Download |
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zeroB.f
md5:d04e6333fb5a4572ff5e9519adc21a97 |
10.1 kB | Download |
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zeroB2.f
md5:c9fb6ba4c1995d27ce3a4e357db02391 |
8.2 kB | Download |
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zeroc.f
md5:e55d2945e7575effcc4aca8b9c430624 |
1.3 kB | Download |
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zeroexp.f
md5:87d600a13bbb0be31ba239df51d47d78 |
6.8 kB | Download |
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zerogompertz.f
md5:ae6fcd64f4225c6a2df6d47a051bc470 |
11.8 kB | Download |
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zeroquad.f
md5:35615b3605240e27e497cb596516b232 |
7.3 kB | Download |
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zerosquare.f
md5:510303643d1a4e1ac8f26ac06a9aeb79 |
6.7 kB | Download |
1,875
3,479
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 1,875 | 1,534 |
| Downloads | 3,479 | 3,207 |
| Data volume | 673.9 MB | 584.8 MB |
| Unique views | 1,530 | 1,267 |
| Unique downloads | 503 | 410 |
Indexed in
- Publication date:
- October 11, 2020
- DOI:
-
- Keyword(s):
- COVID-19 data modeling
- Published in:
- Epidemiology and Infection:.
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International