The First Months of COVID-19 in Madagascar
Stephan Narison (LUPM-CNRS/IN2P3, Montpellier (FR), iHEPMAD, Research Institute, Univ. Ankatso, Antananarivo (MG))

TL;DR
This study analyzes the early spread of COVID-19 in Madagascar over two months, using polynomial models to predict future cases and discussing the pandemic's social and healthcare impacts.
Contribution
First systematic analysis of COVID-19 spread in Madagascar using polynomial fitting and prediction models based on limited data.
Findings
Data until 46 days favor cubic polynomial growth.
Confirmed cubic growth pattern with increasing infection rate.
Linear increase in cured persons with about 3 per day.
Abstract
Using the official data and aware of the uncertain source and insufficient number of samples, we present a first and (for the moment) unique attempt to study the first two months spread of COVID-19 in Madagascar. The approach has been tested by predicting the number of contaminated persons for the next week after fitting the inputs data collected within 7 or 15 days using standard least -fit method. Encouraged by this first test, we study systematically during 67 days , 1-2 weeks new data and predict the contaminated persons for the coming week. We find that the first month data are well described by a linear or quadratic polynomial with an increase of about (4-5) infected persons per day. Pursuing the analysis, one note that data until 46 days favour a cubic polynomial behaviour which signals an eventual near future stronger growth as confirmed by the new data on the 48th day.…
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