Spatial Markov matrices for measuring the spatial dependencies of an epidemiological spread : case Covid’19 Madagascar

After analysis, we can say that there is spatial dependency according to these spatial transition matrices.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2024-08-19
DOI
https://doi.org/10.1186/s12889-024-19654-9
Citations
3
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial Markov matrices for measuring the spatial dependencies of an epidemiological spread : case Covid’19 Madagascar

Angelo Raherinirina, Stefana Tabera Tsilefa
3 citations
BMC Public Health
COVID-19 epidemiological studies
1.19
article

Spatial Markov matrices for measuring the spatial dependencies of an epidemiological spread : case Covid’19 Madagascar

Angelo Raherinirina, Stefana Tabera Tsilefa
article en
3 citations

Abstract

After analysis, we can say that there is spatial dependency according to these spatial transition matrices.

BMC Public HealthVol. 24(1)
Université de Fianarantsoa (MG)
Good health and well-being
Openalex Percentile: Top 24%
COVID-19 epidemiological studies
1.19
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatial Markov matrices for measuring the spatial dependencies of an epidemiological spread : case Covid’19 Madagascar — Angelo Raherinirina, Stefana Tabera Tsilefa · BMC Public Health (2024) | TGRS Research Map | TGRS