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Distribution of the total population in the nine provinces ..:
Wendy Nieto-Gutierrez
;
Jaid Campos-Chambergo
;
Enrique Gonzalez-Ayala
...
https://figshare.com/articles/figure/Distribution_of_the_total_population_in_the_nine_provinces_of_Lima-Peru_/25105035. , 2024
Link:
https://doi.org/10.1371/journal.pgph.0002854.s002
RT Journal T1
Distribution of the total population in the nine provinces of Lima-Peru
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25105035&Exemplar=1&LAN=DE A1 Wendy Nieto-Gutierrez A1 Jaid Campos-Chambergo A1 Enrique Gonzalez-Ayala A1 Oswaldo Oyola-Garcia A1 Alberti Alejandro-Mora A1 Eliana Luis-Aguirre A1 Roly Pasquel-Santillan A1 Juan Leiva-Aguirre A1 Cesar Ugarte-Gil A1 Steev Loyola YR 2024 K1 Biotechnology K1 Ecology K1 Science Policy K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 three previous strategies K1 enabling targeted interventions K1 87 &# 8211 K1 86 &# 8211 K1 variables consistently included K1 previously analyzed variables K1 study offers insights K1 retrospective cohort study K1 machine learning models K1 19 fatality within K1 19 cases reported K1 four prediction models K1 develop prediction models K1 validate using data K1 19 fatality models K1 study population consisted K1 selected models derived K1 models performed adequately K1 nine peruvian provinces K1 19 fatality K1 prediction models K1 nine provinces K1 select variables K1 study population K1 study aimed K1 models described K1 peruvian population K1 098 cases K1 xlink "> K1 world conditions K1 surveillance system K1 successfully created K1 sensitivity analyses K1 secondary analysis K1 remaining 20 K1 random sample K1 may aid K1 lasso method K1 increased risk K1 identifying individuals K1 hoc approach K1 future studies K1 findings contribute JF https://figshare.com/articles/figure/Distribution_of_the_total_population_in_the_nine_provinces_of_Lima-Peru_/25105035 LK http://dx.doi.org/https://doi.org/10.1371/journal.pgph.0002854.s002 DO https://doi.org/10.1371/journal.pgph.0002854.s002 SF ELIB - SuUB Bremen
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