  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 $\chi^2$-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. We complete the
analysis until 67 days and find that the data until 77 days confirm the cubic
polynomial behaviour which is a remarkable feature of the pandemic spread in
Madagascar. We expect that these results will be useful for some new model
buildings. A comparison with some other SI-like models predictions is
done.These results may also be interpreted as the lowest values of the real
case due to the insufficient number of samples (12907 for 27 million habitants
on 05/06/20). The data analysis of the absolute number of cured persons until
67 days shows an approximate linear behaviour with about 3 cured persons per
day. However, the number of percentage number of cured persons decreases above
42-46 days indicating the limits of the hospital equipment and care to face the
2nd phase of the pandemic for the 67th first days. Some comments on the social,
economical and political impacts of COVID-19 and confinement for Madagascar
and, in general, for Worldwide are shortly discussed.
