Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to hospital-based data

Roeder, Friederike; Adegnika, Olouyomi Scherif; Honkpehedji, Yabo Josiane; Huth, Manuel; Lell, Bertrand; Adegnika, Ayola Akim; Lopes-Rafegas, Iris; Sicuri, Elisa

dc.contributor.author	Adegnika, Ayôla Akim
dc.date.accessioned	2026-05-26T05:54:51Z
dc.date.available	2026-05-26T05:54:51Z
dc.date.issued	2025
dc.identifier.issn	0300-5771
dc.identifier.uri	http://hdl.handle.net/10900/179868
dc.language.iso	en	de_DE
dc.publisher	Oxford : Oxford Univ Press	de_DE
dc.relation.uri	http://dx.doi.org/10.1093/ije/dyaf140	de_DE
dc.subject.ddc	300	de_DE
dc.subject.ddc	610	de_DE
dc.title	Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to hospital-based data	de_DE
dc.type	Article	de_DE
utue.quellen.id	20251118000000_00499
utue.personen.roh	Roeder, Friederike
utue.personen.roh	Adegnika, Olouyomi Scherif
utue.personen.roh	Honkpehedji, Yabo Josiane
utue.personen.roh	Huth, Manuel
utue.personen.roh	Lell, Bertrand
utue.personen.roh	Adegnika, Ayola Akim
utue.personen.roh	Lopes-Rafegas, Iris
utue.personen.roh	Sicuri, Elisa
dcterms.isPartOf.ZSTitelID	International Journal of Epidemiology	de_DE
dcterms.isPartOf.ZS-Issue	Article dyaf140	de_DE
dcterms.isPartOf.ZS-Volume	54 (5)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE