The COVID-19 pandemic is considered as the most alarming global health calamity of this century. COVID-19 has been confirmed to be mutated from coronavirus family. As stated by the records of The World Health Organization (WHO at April 18 2020), the present epidemic of COVID-19, has influenced more than 2,164,111 persons and killed more than 146,198 folks in over 200 countries across the globe and billions had confronted impacts in lifestyle because of this virus outbreak. The ongoing overall outbreak of the COVID-19 opened up new difficulties to the research sectors. Artificial intelligence (AI) driven strategies can be valuable to predict the parameters, hazards, and impacts of such an epidemic in a cost-efficient manner. The fundamental difficulties of AI in this situation is the limited availability of information and the uncertain nature of the disease. Here in this article, we have tried to integrate AI to predict the infection outbreak and along with this, we have also tried to test whether AI with help deep learning can recognize COVID-19 infected chest X-Rays or not. The global outbreak of the virus posed enormous economic, ecological and societal challenges into the human population and with help of this paper, we have tried to give a message that AI can help us to identify certain features of the disease outbreak that could prove to be essential to protect the humanity from this deadly disease.

翻译：COVID-19大流行被视为本世纪最令人担忧的全球健康灾难。已有证据表明，COVID-19源自冠状病毒家族变异。根据世界卫生组织截至2020年4月18日的记录，当前COVID-19疫情已影响全球200多个国家的超过2,164,111人，并导致超过146,198人死亡，数十亿人的生活方式因这一病毒爆发而遭受冲击。COVID-19的持续全球爆发给研究领域带来了新的挑战。人工智能驱动的策略能够以经济高效的方式预测此类疫情的参数、风险及影响。但人工智能在此情境下的根本困境在于有限的数据可用性及该疾病的不确定性。本文尝试整合人工智能技术预测感染爆发，同时验证基于深度学习的人工智能方法能否识别COVID-19感染者的胸部X光影像。该病毒的全球性爆发给人类带来了巨大的经济、生态与社会挑战。通过本文，我们试图传递这样一个信息：人工智能能够帮助识别疫情爆发的某些关键特征，这些特征对于保护人类免受这一致命疾病的侵害至关重要。