Remotely Diagnose Coronavirus by Recognizing and Counting of Coughs During Phone Calls

Mostafa Derraz*

Department of Electrical Engineering, University of Abdelmalek Essaadi, Morocco

CitationCitation COPIED

Derraz M. Remotely Diagnose Coronavirus by Recognizing and Counting of Coughs During Phone Calls. Biomed Res Rev. 2020 Mar;3(3):125.


In the presence of this paper, we aim to present the COVID-19-RCC protocol, a protocol that can reduce the spread of Corona-virus disease COVID-19 by remotely diagnosing of large people’s groups, or even entire countries, in a parallel manner. The COVID-19-RCC protocol is an algorithm for recognizing and counting coughs during a phone’s conversation (in real time), where coughing is one of the main symptoms of Coronaviruses. The recognition is based on the analysis of the audio frequency spectrum during the call but without recording the content of the call. Based on the coughing, the stage of illness can be predicted and the probability of transferring the virus to and infecting peoples in the surrounding area can be reduced. Several studies have shown that human-to-human transmission of the Corona-viruses has occurred by droplets or direct contact, which shows us the importance of detecting patients who complain of coughing as a priority, in order to limit the spread, as coughing is the main factor behind the droplets. In general, peoples who complain of coughing can be considered to be at the origin of the spread of the virus. This protocol may not be the most effective, but COVID-19-RCC can be ready to use, executable and functional within 24 hours. Especially under these circumstances, we don’t have enough time to develop a sophisticated solution!


COVID-19; Coronavirus; Remotely diagnose; Detecting coughing; Audio Frequency Spectrum


COVID-19-RCC protocol

The idea behind this concept is based on an old concept that said a package of halfsolutions can perform as an effective solution. Remotely diagnose the virus by recognizing and counting of coughs during phone calls or even by installing a phone’s application that activated on the background, isn’t the perfect solution, also isn’t the all-in-one solution, but we encourage the authorities to add this protocol on the existed package of solutions to strengthen the control’s system since we have not yet reached the right treatment.

In China, they used drones to measure the temperature in the streets of a randomly selected group of people, and the Chinese never said how many we can scan from more than a billion people with drones? Definitely the amount of data is not enough, from the first moment the idea seemed useless and there was no need to apply it in the ground. In on other hand and so far, the Chinese have managed to reach the peak and have started to reduce the reproducibility of the virus while limiting its spread. At present, the virus continues to accelerate its spread in Europe and around the world.

Under these circumstances, many countries can’t develop the same system that china used it in a short time, we have not the time! We suggesting to focus on the second symptom of the virus is the cough in the side of the fever, but the advantage of tracking the cough can be without the need to be on the ground nor on-air with drones to measure the temperature (that confirms the fever), in fact, you should be in telecom cables! Due to the Maxwell equations and linear algebra, the same cable can transmit the millions of data, audio and calls through it, in a parallel manner, without the interference, So let’s use this advantage and install a small system (within 24h) to analyzing the audio frequency spectrum, that system has already existed. The system automatically starts working when a phone’s call starts and recognizing and counting of coughs during the call.

You may think that cough detection is less effective than temperature measurement? But let’s present some facts about the Corona-virus, the virus is transmitting only by droplets! and the main actor behind the droplets is the coughing more than the fever, however, the following paragraphs are detected to present and explain the importance of basing on the cough as a first diagnosis.

The spread of the virus is growing exponentially, so in order to control it, we must follow an exponential procedure too. The detection of coughing during phone calls gives us the same advantage of exponential growth because the call is between two people, so an action of anyone gives the state of two people in parallel. Moreover, to limit the virus, we must work on a large circle of probability and exclude unconfirmed cases, but rather rely on confirmed cases and investigate with patients to predict other inflected cases.

The quality of the system’s predictions will increase over time thanks to the machine learning mechanisms, by classifying the caller that coughing on the grey list, after detecting the cough in a second call, a robot will call the caller and will ask him if he has claimed the symptoms of the virus, if yes, the caller will click 1 to react with the robot, then the caller will be classified on the blacklist if-else, the machine learning mechanisms will learn from this case to improve the classification.

Please note that this article is not a medical article or comes from a biology expert, we are simply trying to contribute what we can do, we do not intend to compete with professionals in their field. You will find below some probability models; they are not the right ones! We suggested it just to help explain the idea, they are not appropriate models! due to a lack of time. Also, due to a lack of time and sources, you will find a direct quote from other articles. I hope that there will be no problems with the original authors since we don’t tend to have negatives intentions.

Coronavirus COVID-19

Since the onset of infection with the new coronavirus COVID-19 in Wuhan, China, in December 2019, it has spread rapidly in China and many other countries. To date, the new coronavirus has affected more than 145,798 confirmed patients (5,531 reported deaths and 67,003 recoveries) and has become a major global health concern.

As well as studies have reported a link between a local fish and wildlife market (Wuhan City) and most cases of infection, which indicate possible transmission from animals to humans, more and more studies have demonstrated human-to-human transmission of “COVID-19” by droplets or by direct contact.

The accelerated spread of the virus through human-to-human transmission has created an urgent need to develop and approve standard treatment protocols. Besides the lack of complete details on the structure and life cycle of the virus, therapeutic development is delayed, preventive measures remain the only procedure to limit the spread of COVID-19.

Few existing drugs have been evaluated for the treatment of COVID-19 and have shown promising good results in clinical applications. The chemicals used to “manage the symptoms of viral infection” have helped several patients in the early stages of their recovery.

To date, there is no known fully effective treatment for COVID-19. However, potential therapies are emerging as the clinical evaluation of existing antiviral drugs continues and as knowledge about this new coronavirus progresses. 

Cough as a Symptom of Coronaviruses COVID-19

Clinical manifestations

The clinical study of patients infected with COVID-19 from different regions of China has shown a varied pattern of the disease. The study reports that the median age of the infected patients studied was 47 years, which indicates the presence of the infection in people of all ages. In addition, out of all the patients studied, ~41.9% were women, which indicates that the infections spread in different patients regardless of sex. The report indicates that the primary composite endpoint occurred in ~6% of patients. Patients outside Wuhan City have either been in touch with city residents at one time or have visited the city recently. Among the patients admitted for COVID-19, very few (only ~1.9%) had a history of direct contact with wildlife, which indicates that human-to-human transmission of the virus is favored [1].

Most patients had a common symptom of fever and cough. Many patients often presented without a fever, however, they developed it during the infection. The majority of patients developed fever (~43.8% on admission and ~93% during hospitalization) and nearly two-thirds of patients had cough (~70%) as common symptoms. The blood test showed lymphocytopenia (abnormally low levels of lymphocytes in the blood) in the majority of patients (~83% of patients) on admission to hospital. Diarrhea was not common in most cases. Patients developed full symptoms of VIDOC-19 within 2 to 7 days, i.e. the median incubation period for the development of infection was ~6.8 days with an interquartile range of 2 to 11 days in all patients[2] (Table 1).

Modulation of the inflection probability: 1 Suppose that the probability of transmission might come from to type of patient’s groups, A (the patients that had cough as a symptom), B (the patients that had only fever a symptom).

Due to the ability to transmit the droplet to the near air as well as area. We can write the P as:

Infection transmission and epidemiology

Human-to-human transmission is the primary way of infection, transmission occurs from the symptomatic person through coughing or sneezing, transmission can also occur from an asymptomatic person, but the probability of this happening is much lower than for a person who reports coughing since transmission occurs from the symptomatic COVID-19 patient through the respiratory droplet when the patient coughs or sneezes.

Based on observation of data from the early epidemic in mainland China from January 10 to January 24, 2020, the trend of increasing incidence largely follows exponential growth, and the average number of basic reproductions R0 has been estimated at a range of 2.24 to 3.58[1].

Another estimate based on data from December 31, 2019 to January 28, 2020 gave similar results, the R0 for COVID-19 being 2.68 and the doubling time of the epidemic being 6.4 days. In addition, the current estimate of the average incubation period for COVID-19 was 6.8 days, which ranges from 2.1 to 11.1 days [1] (Figure 1).

Fitting of the spread:The fitted exponential function of the spread based on data that comes from Wuhan, from 21 January to 11 February.

Modulation of the inflection probability: Suppose that the probability of transmission depends on four main parameters, a(the number of coughs per minute), b (the average number of people encountered per day), c(the rate of effectiveness of protective actions) andd(the days on which the patient was influenced).

Based on the fact that the doubling time of the epidemic being 6.4 day and R0 ~ 2.86, we can evaluate the c the rate of effectiveness of protective actions


Patients at Taizhou Enze Medical Center were assessed from January 19, 2020, to February 4, 2020. During this period, chest CT and RT-PCR were performed for consecutive patients who presented with a history of travel or residence in Wuhan or local endemic areas or who had been in contact with people in these areas with fever and cough or respiratory symptoms within 14 days and 2 [3].

In the case of a first negative RT-PCR test, repeat tests were performed at intervals of 1 day or more, then included all patients who had undergone both a non-contrast chest CT scan and RT-PCR test within 3 days and who were finally diagnosed with a confirmed diagnosis of COVID-19 infection by RT-PCR (Figure 2) [3].

Typical and atypical chest CT results were recorded according to the scanner characteristics described above for the COVD-19. The detection rate of COVID-19 infection based on the initial chest CT scan and RTPCR were compared, statistically, the analysis was performed with significance at the p < 0.05 level [3].

51 patients were included with a median age of 45 years. The patients had throat or sputum samples followed by one or more RT-PCR tests. The mean time from disease onset to CT scan and RT-PCR was 3 +/- 3 days. 36/51 patients had an initial RT-PCR positive for COVID-19, and 12/51 patients had COVID-19 confirmed by two nucleic acid RT-PCR tests and two patients by three tests and one patient by four tests after initial onset[3].

In this sample of patients, the difference in detection rates for patients who underwent initial CT (50/51 [98%, 95% CI 90-100%]) was greater than that for patients who underwent initial RT-PCR (36/51 [71%,95% CI 56-83%]) (p<0.001) [3].

Examples (A) Examples of typical chest CT findings compatible with COVID-19 pneumonia in patients with epidemiological and clinical presentation suspicious for COVID-19 infection (Figures 3-6) [3].

Examples (B) Examples of chest CT finding less commonly reported in COVID-19 infection (atypical) in patients with epidemiological and clinical presentation suspicious for COVID-19 infection Figures (7-9).

Table 1: Clinical manifestation from three study site, Wuhan[1]

Figure 1: COVID-19 spread from 21 January to 11 February, Wuhan [1].

Figure 2: Flowchart of the tests[3].

Figure 3: Example of a male, 74 years old with fever and cough for 5 days. Axial chest CT showed bilateral subpleural ground glass opacities (GGO)

Figure 4: Example of a female, 55 years old, with fever and cough for 7 days. Axial chest CT showed extensive bilateral ground glass opacity and consolidation [3].