Your browser doesn't support javascript.
Scrutinizing the spread of COVID-19 in Madagascar.
Narison, Stephan; Maltezos, Stavros.
  • Narison S; Laboratoire Univers et Particules de Montpellier (LUPM), CNRS-IN2P3, Case 070, Place Eugène Bataillon, 34095 Montpellier, France; Institute of High-Energy Physics of Madagascar (iHEPMAD), University of Ankatso, 101 Antananarivo, Madagascar. Electronic address: snarison@yahoo.fr.
  • Maltezos S; National Technical University of Athens, Physics Department, Heroon Polytechniou 9, Zografos, GR15780 Athens, Greece. Electronic address: maltezos@central.ntua.gr.
Infect Genet Evol ; 87: 104668, 2021 01.
Article in English | MEDLINE | ID: covidwho-963228
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
We scrutinize the evolution of COVID-19 in Madagascar by comparing results from three approaches (cubic polynomial, semi-gaussian and gaussian-like models) which we use to provide an analytical form of the spread of the pandemic. In so doing, we introduce (for the first time) the ratio ℜI/Tc,d of the cumulative and daily numbers of infected persons over the corresponding one of tests which are expected to be less sensitive to the number of the tests because the credibility of the results based only on the absolute numbers often raises some criticisms. We also give and compare the effective reproduction number Reff from different approaches and with the ones of some European countries with a small number of population (Greece, Switzerland) and some other African countries. Finally, we show and comment the evolution of the total number of deaths and of the per cent number of cured persons and discuss the performance of the medical care.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Africa Language: English Journal: Infect Genet Evol Journal subject: Biology / Communicable Diseases / Genetics Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Africa Language: English Journal: Infect Genet Evol Journal subject: Biology / Communicable Diseases / Genetics Year: 2021 Document Type: Article