This led to usage of transportation restrictions, isolations, lockdowns, stay at occupational risk assessments and the closures of facilities. Recommended protective measures include hand washing, closing the mouth while hacking, keeping away from others, observing, and self-isolating of persons associated with being infected. The virus can survive up to 72 hours on most surfaces. These beads are delivered during exhalation, usually falling to the ground or to the surface instead of being contaminations over long distances. This virus spreads between people during close contact, i.e. at a minimum distance of one meter (3 ft), through small beads during hacking, sniffling, or talking. The old people with medical conditions such as hypertension, heart issues, or diabetes are enduring with illness individuals with fever, cough, and trouble breathing should seek immediate medical care. COVID-19’s most commonly recognized symptoms are fever, tiredness, and dry cough and some of the people suffered from throbbing pain, nasal clog, runny nose, sore throat, or diarrhea.
This infection was unfamiliar before the occurrence of the Wuhan chain in December 2019 and within eight months (by August 2020), over 24.0 million persons are infected and over 824,162 have died. Further, open challenges are identified and promising research directions are highlighted.Ĭoronavirus disease (COVID-19) is a transferable illness that has recently been identified. In the simulation, the same statistics are observed with an addition of collision-resistant strategies working successfully for indoor and outdoor healthcare operations. In real-time drone-based healthcare system implementation for COVID-19 operations, it is observed that a large area can be covered for sanitization, thermal image collection, and patient identification within a short period (2 KMs within 10 min approx.) through aerial route. It collects and stores the substantial amount of data in a stipulated period and helps to take appropriate action as and when required. The proposed architecture is found to be useful in remote and highly congested pandemic areas where either the wireless or Internet connectivity is a major issue or chances of COVID-19 spreading are high.
The proposed architecture uses wearable sensors to record the observations in Body Area Networks (BANs) in a push–pull data fetching mechanism. This work investigates the drone-based systems, COVID-19 pandemic situations, and proposes an architecture for handling pandemic situations in different scenarios using real-time and simulation-based scenarios. Drones or Unmanned Aerial Vehicles (UAVs) are very helpful in handling the COVID-19 pandemic. Within eight months (by August 2020), it infected 24.0 million persons worldwide and over 824 thousand have died. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity resulting in an ongoing pandemic worldwide. Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus.