001     1028486
005     20241118210123.0
024 7 _ |a 10.5281/ZENODO.5976037
|2 doi
024 7 _ |a 10.34734/FZJ-2024-04638
|2 datacite_doi
037 _ _ |a FZJ-2024-04638
100 1 _ |a Servadio, Joseph L
|0 0000-0002-9988-5712
|b 0
245 _ _ |a jlservadio/YFVuln:
260 _ _ |c 2022
336 7 _ |a Software
|2 DCMI
336 7 _ |a Software
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336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Computer Program
|0 6
|2 EndNote
336 7 _ |a OTHER
|2 ORCID
336 7 _ |a Software
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520 _ _ |a Data and R code used in analyses for 'Environmental determinants predicting population vulnerability to high Yellow Fever incidence' (Servadio et al., 2022)
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Muñoz-Zanzi, Claudia
|b 1
700 1 _ |a Convertino, Matteo
|b 2
773 _ _ |a 10.5281/ZENODO.5976037
856 4 _ |u https://juser.fz-juelich.de/record/1028486/files/YFVuln-v1-a.zip
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1028486
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915 _ _ |a OpenAccess
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915 _ _ |a Hosted Content
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980 1 _ |a OPENSCIENCE
980 _ _ |a sware
980 _ _ |a I:(DE-Juel1)ZB-20090406


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