Bayesian Geostatistical Modeling to Assess Malaria Seasonality and Monthly Incidence Risk in Eswatini

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2210-6014
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Bayesian Geostatistical Modeling to Assess Malaria Seasonality and Monthly Incidence Risk in Eswatini ; volume:12 ; number:3 ; day:17 ; month:8 ; year:2022 ; pages:340-361 ; date:9.2022
Journal of epidemiology and global health ; 12, Heft 3 (17.8.2022), 340-361, 9.2022

Creator
Dlamini, Sabelo Nick
Fall, Ibrahima Socé
Mabaso, Sizwe Doctor
Contributor
SpringerLink (Online service)

DOI
10.1007/s44197-022-00054-4
URN
urn:nbn:de:101:1-2022113021073206118553
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:39 AM CEST

Data provider

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Associated

  • Dlamini, Sabelo Nick
  • Fall, Ibrahima Socé
  • Mabaso, Sizwe Doctor
  • SpringerLink (Online service)

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