<div>This document pretends to provide an overview about the lights and
shadows on the latest trends in this specific area.</div>


<div>Unlike previously released literature reviews, that are providing a wide
overview about any type of AI techniques applied to overall aspects of
the pandemics, this document will focus specifically on the use of DL
techniques applied to COVID-19 time series forecasting. The production
in this field within the last months has become quite large.</div>


<div>After setting a group of quality criteria, related to problem
definition, dataset manipulation, model identification and evaluation,
96 papers has been screened.</div>


<div>Most of the analysed papers did not meet the common quality standards of
scientific work: none of them positively scored in all of the criteria,
while only about one third scored positively in at least half of the
defined criteria. The emergency character of this scientific production
led to getting away from some of the basic requirements for quality
scientific work.</div>