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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">tiblj</journal-id><journal-title-group><journal-title xml:lang="ru">Туберкулез и болезни легких</journal-title><trans-title-group xml:lang="en"><trans-title>Tuberculosis and Lung Diseases</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2075-1230</issn><issn pub-type="epub">2542-1506</issn><publisher><publisher-name>Медицинские знания и технологии</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21292/2075-1230-2021-99-11-56-64</article-id><article-id custom-type="elpub" pub-id-type="custom">tiblj-1590</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОР ЛИТЕРАТУРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>LITERATURE REVIEW</subject></subj-group></article-categories><title-group><article-title>Диагностика кашля: настоящее и будущее</article-title><trans-title-group xml:lang="en"><trans-title>Cough Diagnosis: Present and Future</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Овсянников</surname><given-names>Е. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Ovsyannikov</surname><given-names>E. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Овсянников Евгений Сергеевич – кандидат медицинских наук, доцент кафедры факультетской терапии.</p><p>394036, г. Воронеж, Студенческая ул., д. 10.</p><p> </p></bio><bio xml:lang="en"><p>Evgeny S. Ovsyannikov – Candidate of Medical Sciences, Associate Professor of Faculty Therapy Department.</p><p>10, Studencheskaya St., Voronezh, 394036.</p></bio><email xlink:type="simple">ovses@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Авдеев</surname><given-names>С. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Аvdeev</surname><given-names>S. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Авдеев Сергей Николаевич – доктор медицинских наук, член-корреспондент РАН, заведующий кафедрой пульмонологии лечебного факультета.</p><p>119991, Москва, ул. Трубецкая, д. 8, стр. 2.</p></bio><bio xml:lang="en"><p>Sergey N. Avdeev - Doctor of Medical Sciences, Correspondent Member of RAS, Head of Pulmonology Department of General Medicine Faculty.</p><p>8, Bd. 2, Trubetskaya St., Moscow, 119991.</p></bio><email xlink:type="simple">serg_avdeev@list.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Будневский</surname><given-names>A. B.</given-names></name><name name-style="western" xml:lang="en"><surname>Budnevskiy</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Будневский Андрей Валериевич – доктор медицинских наук, профессор, заведующий кафедрой факультетской терапии.</p><p>394036, г. Воронеж, Студенческая ул., д. 10.</p></bio><bio xml:lang="en"><p>Andrey V. Budnevskiy - Doctor of Medical Sciences, Professor, Head of Faculty Therapy Department.</p><p>10, Studencheskaya St., Voronezh, 394036.</p></bio><email xlink:type="simple">budnev@list.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дробышева</surname><given-names>Е. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Drobyshevа</surname><given-names>E. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дробышева Елена Сергеевна – кандидат медицинских наук, доцент кафедры факультетской терапии.</p><p>394036, г. Воронеж, Студенческая ул., д. 10.</p></bio><bio xml:lang="en"><p>Elena S. Drobysheva – Candidate of Medical Sciences, Associate Professor of Faculty Therapy Department.</p><p>10, Studencheskaya St., Voronezh, 394036.</p><p> </p></bio><email xlink:type="simple">e.drobysheva76@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО «Воронежский государственный медицинский университет им. Н. Н. Бурденко» МЗ РФ</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Voronezh State Medical University named after N. N. Burdenko</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГАОУ ВО Первый Московский государственный медицинский университет им. И. М. Сеченова МЗ РФ (Сеченовский университет)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>I. M. Sechenov First Moscow State Medical University (Sechenov University)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>27</day><month>11</month><year>2021</year></pub-date><volume>99</volume><issue>11</issue><fpage>56</fpage><lpage>64</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Овсянников Е.С., Авдеев С.Н., Будневский A.B., Дробышева Е.С., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Овсянников Е.С., Авдеев С.Н., Будневский A.B., Дробышева Е.С.</copyright-holder><copyright-holder xml:lang="en">Ovsyannikov E.S., Аvdeev S.N., Budnevskiy A.V., Drobyshevа E.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.tibl-journal.com/jour/article/view/1590">https://www.tibl-journal.com/jour/article/view/1590</self-uri><abstract><p>Хронический кашель ‒ распространенный симптом ряда заболеваний, встречающийся примерно у 10% людей в общей популяции. Количество кашлевых толчков за определенный период времени является объективным маркером тяжести кашля. Частота кашля в настоящее время рассматривается в качестве первичной конечной точки в исследованиях эффективности противокашлевых препаратов, как фактор, способствующий распространению туберкулеза, и как один из показателей стабилизации состояния больных при обострении хронической обструктивной болезни легких. В обзоре обсуждаются данные 60 источников литературы о принципах автоматического подсчета кашлевых толчков, используемых методиках объективной оценки кашля, прогнозах будущих направлений в этой области.</p></abstract><trans-abstract xml:lang="en"><p>Chronic cough is a common symptom of numerous diseases occurring in about 10% of general population. The number of cough impulses over a period of time is an objective marker of cough severity. Cough frequency is now considered the primary endpoint in studies of the effectiveness of cough suppressants, as a factor contributing to the spread of tuberculosis, and as one of the indicators of patient stabilization during exacerbations of chronic obstructive pulmonary disease. The review discusses data from 60 literature sources on the principles of automatic cough impulses counting, methods used for objective cough assessment, and forecasts for future development in this field.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>кашель</kwd><kwd>мониторирование кашля</kwd><kwd>частота кашля</kwd></kwd-group><kwd-group xml:lang="en"><kwd>cough</kwd><kwd>cough monitoring</kwd><kwd>cough frequency</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Будневский А. В., Овсянников Е. С., Лабжания Н. В. Сочетание хронической обструктивной болезни легких и метаболического синдрома: патофизиологические и клинические особенности // Терапевтический архив. ‒ 2017. ‒ Т. 89, № 1. – С. 123-127. DOI: 10.17116/terarkh2017891123-127.</mixed-citation><mixed-citation xml:lang="en">Budnevskiy А.V., Ovsyannikov E.S., Labzhaniya N.V. Chronic obstructive pulmonary disease concurrent with metabolic syndrome: pathophysiological and clinical features. Terapevticheskiy Arkhiv, 2017, 89(1), pp. 123-127. (In Russ.) doi: 10.17116/terarkh2017891123-127.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Делягин В. М. Выбор терапии кашля (развитие по спирали) // Медицинский совет. ‒ 2019. ‒ № 11. ‒ С. 60-66. DOI: 10.21518/2079-701X-2019-11-60-66.</mixed-citation><mixed-citation xml:lang="en">Delyagin V.M. Choice of therapy for coughing (spiral development).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Зайцев А. А. Кашель: по страницам международных рекомендаций // Эффективная фармакотерапия. ‒ 2019. ‒ Т. 15, № 27. ‒ С. 38-49. DOI: 10.33978/2307-3586-2019-15-27-38-48.</mixed-citation><mixed-citation xml:lang="en">Meditsinsky Soviet, 2019, no. 11, pp. 60-66. (In Russ.) doi: 10.21518/2079-701X-2019-11-60-66.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Лещенко И. В., Царькова С. А., Жеребцов А. Д. Актуальные вопросы дифференциальной диагностики острого кашля у детей и взрослых // Пульмонология. ‒ 2018. ‒ Т. 28, № 4. ‒ С. 461-468. DOI: 10.18093/0869-0189-2017-28-4-461-468.</mixed-citation><mixed-citation xml:lang="en">Zaytsev А.А. Cough: through the pages of international recommendations. Effektivnaya Farmakoterapiya, 2019, vol. 15, no. 27, pp. 38-49. (In Russ.) doi: 10.33978/2307-3586-2019-15-27-38-48.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Овсянников Е. С., Авдеев С. Н., Будневский А. В., Шкатова Я. С. Объективная оценка кашля у пациентов с хронической обструктивной болезнью легких и ожирением // Системный анализ и управление в биомедицинских системах. ‒ 2019. ‒ Т. 18, № 3. ‒ С. 18-25. DOI: 10.25987/VSTU.2019.18.3.002.</mixed-citation><mixed-citation xml:lang="en">Leschenko I.V., Tsarkova S.А., Zherebtsov А.D. Age-related aspects of differential diagnosis of acute cough in children and adults. Pulmonologiya, 2018, vol. 28, no. 4, pp. 461-468. (In Russ.) doi: 10.18093/0869-0189-2017-28-4-461-468.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Орлова Н. В. Хронический кашель: дифференциальная диагностика и лечение // Медицинский совет. ‒ 2020. ‒ Т. 17. ‒ С. 124-131. DOI: 10.21518/2079-701X-2020-17-124-131.</mixed-citation><mixed-citation xml:lang="en">Ovsyannikov E.S., Аvdeev S.N., Budnevskiy А.V., Shkatova Ya.S. The objective evaluation of cough in patients with chronic obstructive pulmonary disease and obesity. Sistemny Analiz I Upravlenie V Biomeditsinskikh Sistemakh, 2019, vol. 18, no. 3, pp. 18-25. (In Russ.) doi: 10.25987/VSTU.2019.18.3.002.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Abdulqawi R., Dockry R., Holt K. et al. P2X3 receptor antagonist (AF-219) in refractory chronic cough: A randomised, double-blind, placebo-controlled phase 2 study // Lancet. ‒ 2015. ‒ Vol. 385 (9974). ‒ Р. 1198-1205. DOI: 10.1016/S0140-6736(14)61255-1.</mixed-citation><mixed-citation xml:lang="en">Orlova N.V. Chronic cough: differential diagnosis and treatment. Meditsinsky Soviet, 2020, vol. 17, pp. 124-131. (In Russ.) doi: 10.21518/2079-701X-2020-17-124-131.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Amoh J., Odame K. Deep neural networks for identifying cough sounds // IEEE Trans Biomed Circuits Syst. ‒ 2016. ‒ Vol. 10. ‒ Р. 1003-1011. DOI: 10.1109/TBCAS.2016.2598794.</mixed-citation><mixed-citation xml:lang="en">Abdulqawi R., Dockry R., Holt K. et al. P2X3 receptor antagonist (AF-219) in refractory chronic cough: A randomised, double-blind, placebo-controlled phase 2 study. Lancet, 2015, vol. 385 (9974), pp. 1198-1205. doi: 10.1016/S0140-6736(14)61255-1.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Barry S. J., Dane A. D., Morice A. H. et al. The automatic recognition and counting of cough // Cough. ‒ 2006. ‒ Vol. 2, № 1. ‒ Р. 8. DOI: 10.1186/1745-9974-2-8.</mixed-citation><mixed-citation xml:lang="en">Amoh J., Odame K. Deep neural networks for identifying cough sounds. IEEE Trans Biomed Circuits Syst., 2016, vol. 10, pp. 1003-1011. doi: 10.1109/TBCAS.2016.2598794.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Barton A., Gaydecki P., Holt K. et al. Data reduction for cough studies using distribution of audio frequency content // Cough. ‒ 2012. ‒ Vol. 8, № 12. ‒ Р. 12. DOI: 10.1186/1745-9974-8-12.</mixed-citation><mixed-citation xml:lang="en">Barry S.J., Dane A.D., Morice A.H. et al. The automatic recognition and counting of cough. Cough, 2006, vol. 2, no. 1, pp. 8, doi: 10.1186/1745-9974-2-8.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Birring S. S., Fleming T., Matos S. et al. The Leicester Cough Monitor: preliminary validation of an automated cough detection system in chronic cough // Eur. Respir. J. ‒ 2008. ‒ Vol. 31, № 5. ‒ Р. 1013-1038. DOI: 10.1183/09031936.00057407.</mixed-citation><mixed-citation xml:lang="en">Barton A., Gaydecki P., Holt K. et al. Data reduction for cough studies using distribution of audio frequency content. Cough, 2012, vol. 8, no. 12, pp. 12. doi: 10.1186/1745-9974-8-12.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Birring S. S., Parker D., Brightling C. E. et al. Induced sputum inflammatory mediator concentrations in chronic cough // Am. J. Respir. Crit. Care Med. ‒ 2004. ‒ Vol. 169, № 1. ‒ Р. 15-19. DOI: 10.1164/rccm.200308-1092OC.</mixed-citation><mixed-citation xml:lang="en">Birring S.S., Fleming T., Matos S. et al. The Leicester Cough Monitor: preliminary validation of an automated cough detection system in chronic cough. Eur. Respir. J., 2008, vol. 31, no. 5, pp. 1013-1038. doi: 10.1183/09031936.00057407.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Birring S. S., Prudon B., Carr A. et al. Development of a symptom specific health status measure for patients with chronic cough: Leicester Cough Questionnaire (LCQ) // Thorax. ‒ 2003. ‒ Vol. 58, № 4. ‒ Р. 339-343. DOI: 10.1136/thorax.58.4.339.</mixed-citation><mixed-citation xml:lang="en">Birring S.S., Parker D., Brightling C.E. et al. Induced sputum inflammatory mediator concentrations in chronic cough. Am. J. Respir. Crit. Care Med., 2004, vol. 169, no. 1, pp. 15-19. doi: 10.1164/rccm.200308-1092OC.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Birring S. S., Mann V. M., Matos S. et al. From the authors (response to: The Leicester Cough Monitor: a semi-automated, semi-validated cough detection system?) // Eur. Respir. J. ‒ 2008. ‒ Vol. 32. ‒ Р. 530-531. DOI: 10.1183/09031936.00060808.</mixed-citation><mixed-citation xml:lang="en">Birring S.S., Prudon B., Carr A. et al. Development of a symptom specific health status measure for patients with chronic cough: Leicester Cough Questionnaire (LCQ). Thorax, 2003, vol. 58, no. 4, pp. 339-343. doi: 10.1136/thorax.58.4.339.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Birring S. S., Wijsenbeek M. S., Agrawal S. et al. A novel formulation of inhaled sodium cromoglicate (PA101) in idiopathic pulmonary fibrosis and chronic cough: a randomised, double-blind, proof-of-concept, phase 2 trial // Lancet Respir. Med. ‒ 2017. ‒ Vol. 5, № 10. ‒ Р. 806-815. DOI: 10.1016/S2213-260(17)30310-7.</mixed-citation><mixed-citation xml:lang="en">Birring S.S., Mann V.M., Matos S. et al. From the authors (response to: The Leicester Cough Monitor: a semi-automated, semi-validated cough detection system?). Eur. Respir. J., 2008, vol. 32, pp. 530-531. doi: 10.1183/09031936.00060808.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Canning B. J., Chang A. B., Bolser D. C. et al. Anatomy and Neurophysiology of Cough // Chest. ‒ 2014. ‒ Vol. 146, № 6. ‒ Р. 1633-1648. 10.1378/chest.14-1481.</mixed-citation><mixed-citation xml:lang="en">Birring S.S., Wijsenbeek M.S., Agrawal S. et al. A novel formulation of inhaled sodium cromoglicate (PA101) in idiopathic pulmonary fibrosis and chronic cough: a randomised, double-blind, proof-of-concept, phase 2 trial. Lancet Respir. Med., 2017, vol. 5, no. 10, pp. 806-815. doi: 10.1016/S2213-260(17)30310-7.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Cho P. S. P., Birring S. S., Fletcher H. et al. Methods of cough assessment // J. Allergy Clin. Immunol.: In Pract. ‒ 2019. ‒ Vol. 7, № 6. ‒ Р. 1715-1723. DOI: 10.1016/j.jaip.2019.01.049.</mixed-citation><mixed-citation xml:lang="en">Canning B.J., Chang A.B., Bolser D.C. et al. Anatomy and Neurophysiology of Cough. Chest, 2014, vol. 146, no. 6, pp. 1633-1648. 10.1378/chest.14-1481.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Cho P. S. P., Fletcher H. V., Patel I. S. et al. Cough reflex sensitivity in exacerbations of chronic obstructive pulmonary disease // Eur. Respir. Society (ERS). ‒ 2018. ‒ Vol. 52. ‒ PA4056. DOI: 10.1183/13993003.congress-2018.PA405695).</mixed-citation><mixed-citation xml:lang="en">Cho P.S.P., Birring S.S., Fletcher H. et al. Methods of cough assessment. J. Allergy Clin. Immunol.: In Pract., 2019, vol. 7, no. 6, pp. 1715-1723. doi: 10.1016/j.jaip.2019.01.049.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Coyle M. A., Keenan D. B., Henderson L. S. et al. Evaluation of an ambulatory system for the quantification of cough frequency in patients with chronic obstructive pulmonary disease // Cough. ‒ 2005. ‒ Vol. 4, № 1. ‒ Р. 3. DOI: 10.1186/1745-9974-1-3.</mixed-citation><mixed-citation xml:lang="en">Cho P.S.P., Fletcher H.V., Patel I.S. et al. Cough reflex sensitivity in exacerbations of chronic obstructive pulmonary disease. Eur. Respir. Society (ERS), 2018, vol. 52, PA4056. doi: 10.1183/13993003.congress-2018.PA405695).</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Crooks M. G., Hayman Y., Innes A. et al. Objective measurement of cough frequency during COPD exacerbation convalescence // Lung. ‒ 2016. ‒ Vol. 194. ‒ Р. 117-120. DOI: 10.1007/s00408-015-9782-y.</mixed-citation><mixed-citation xml:lang="en">Coyle M.A., Keenan D.B., Henderson L.S. et al. Evaluation of an ambulatory system for the quantification of cough frequency in patients with chronic obstructive pulmonary disease. Cough, 2005, vol. 4, no. 1, pp. 3. doi: 10.1186/1745-9974-1-3.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">de Koning H. J., Van Der Aalst C. M., De Jong P. A. et al. Reduced lung-cancer mortality with volume CT screening in a randomized trial // N. Engl. J. Med. ‒ 2020. ‒ Vol. 382. ‒ Р. 503-513. DOI: 10.1056/NEJMoa1911793.</mixed-citation><mixed-citation xml:lang="en">Crooks M.G., Hayman Y., Innes A. et al. Objective measurement of cough frequency during COPD exacerbation convalescence. Lung, 2016, vol. 194, pp. 117-120. doi: 10.1007/s00408-015-9782-y.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Drugman T., Urbain J., Bauwens N. et al. Objective study of sensor relevance for automatic cough detection // IEEE J Biomed Health Inform. ‒ 2013. ‒ Vol. 17, № 3. ‒ Р. 699-707. DOI: 10.1109/JBHI.2013.2239303.</mixed-citation><mixed-citation xml:lang="en">de Koning H.J., Van Der Aalst C.M., De Jong P.A. et al. Reduced lung-cancer mortality with volume CT screening in a randomized trial. N. Engl. J. Med., 2020, vol. 382, pp. 503-513. doi: 10.1056/NEJMoa1911793.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Elghamoudi D. D., Sumner H., McGuiness K. et al. The feasibility and validity of objective cough monitoring in children using an adult cough detection system // Thorax. ‒ 2015. ‒ Vol. 70, № 3. ‒ Р. A198.1-A198. DOI: 10.1136/thoraxjnl-2015-207770.377.</mixed-citation><mixed-citation xml:lang="en">Drugman T., Urbain J., Bauwens N. et al. Objective study of sensor relevance for automatic cough detection. IEEE J. Biomed. Health Inform., 2013, vol. 17, no. 3, pp. 699-707. doi: 10.1109/JBHI.2013.2239303.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">French C. T., Irwin R. S., Fletcher K. E. et al. Evaluation of a cough-specific quality-of-life questionnaire // Chest. ‒ 2002. ‒ Vol. 121, № 4. ‒ Р. 1123-1131. DOI: 10.1378/chest.121.4.1123.</mixed-citation><mixed-citation xml:lang="en">Elghamoudi D.D., Sumner H., McGuiness K. et al. The feasibility and validity of objective cough monitoring in children using an adult cough detection system. Thorax, 2015, vol. 70, no. 3, pp. A198.1-A198. doi: 10.1136/thoraxjnl-2015-207770.377.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Hoehl S., Berger A., Kortenbusch M. et al. Evidence of SARS-CoV-2 infection in returning travelers from Wuhan, China // N. Engl. J. Med. ‒ 2020. ‒ Vol. 382. ‒ Р. 1278-1280. DOI:10.1056/NEJMc2001899.</mixed-citation><mixed-citation xml:lang="en">French C.T., Irwin R.S., Fletcher K.E. et al. Evaluation of a cough-specific quality-of-life questionnaire. Chest, 2002, vol. 121, no. 4, pp. 1123-1131. doi: 10.1378/chest.121.4.1123.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Hoyos-Barcelo C., Monge-Alvarez J., Zeeshan Shakir M. et al. Efficient k-NN Implementation for real-time detection of cough events in smartphones // IEEE J. Biomed Health Inform. ‒ 2018. ‒ Vol. 22, № 5. ‒ Р. 1662-1671. DOI: 10.1109/JBHI.2017.2768162.</mixed-citation><mixed-citation xml:lang="en">Hoehl S., Berger A., Kortenbusch M. et al. Evidence of SARS-CoV-2 infection in returning travelers from Wuhan, China. N. Engl. J. Med., 2020, vol. 382, pp. 1278-1280. doi:10.1056/NEJMc2001899.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Kulnik S. T., Williams N. M., Kalra L. et al. Cough frequency monitors: Can they discriminate patient from environmental coughs? // J. Thorac. Dis. ‒ 2016. ‒ Vol. 8, № 11. ‒ Р. 3152-3159. DOI: 10.21037/jtd.2016.11.02.</mixed-citation><mixed-citation xml:lang="en">Hoyos-Barcelo C., Monge-Alvarez J., Zeeshan Shakir M. et al. Efficient k-NN Implementation for real-time detection of cough events in smartphones. IEEE J. Biomed Health Inform., 2018, vol. 22, no. 5, pp. 1662-1671. doi: 10.1109/JBHI.2017.2768162.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Kvapilova L., Boza V., Dubec P. J. et al. Continuous sound collection using smartphones and machine learning to measure cough // Digit Biomark. ‒ 2019. ‒ Vol. 3. ‒ Р. 166-175. DOI: 10.1159/000504666.</mixed-citation><mixed-citation xml:lang="en">Kulnik S.T., Williams N.M., Kalra L. et al. Cough frequency monitors: Can they discriminate patient from environmental coughs? J. Thorac. Dis., 2016, vol. 8, no. 11, pp. 3152-3159. doi: 10.21037/jtd.2016.11.02.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Larson S., Comina G., Gilman R. H. et al. Validation of an automated cough detection algorithm for tracking recovery of pulmonary tuberculosis patients // PLoS One. ‒ 2012. ‒ Vol. 7, № 10. ‒ Р. e46229. DOI: 10.1371/journal.pone.0046229.</mixed-citation><mixed-citation xml:lang="en">Kvapilova L., Boza V., Dubec P.J. et al. Continuous sound collection using smartphones and machine learning to measure cough. Digit Biomark., 2019, vol. 3, pp. 166-175. doi: 10.1159/000504666.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Lee K. K., Matos S., Ward K. et al. Sound: A non-invasive measure of cough intensity // BMJ Open Respir Re. ‒ 2017. ‒ Vol. 4, № 1. e000178. DOI: 10.1136/bmjresp-2017-000178.</mixed-citation><mixed-citation xml:lang="en">Larson S., Comina G., Gilman R.H. et al. Validation of an automated cough detection algorithm for tracking recovery of pulmonary tuberculosis patients. PLoS One, 2012, vol. 7, no. 10, pp. e46229. doi: 10.1371/journal.pone.0046229.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Lee K. K., Birring S. S. Cough and sleep // Lung. ‒ 2010. ‒ Vol. 188, № 1. ‒ Р. S91-S94. DOI: 10.1007/s00408-009-9176-0.</mixed-citation><mixed-citation xml:lang="en">Lee K. K., Matos S. Ward K. et al. Sound: A non-invasive measure of cough intensity. BMJ Open Respir. Re., 2017, vol. 4, no. 1. e000178. doi: 10.1136/bmjresp-2017-000178.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Lee K. K., Savani A., Matos S. et al. Four-hour cough frequency monitoring in chronic cough // Chest. ‒ 2012. ‒ Vol. 142, № 5. ‒ Р. 1237-1243. DOI: 10.1378/chest.11-3309.</mixed-citation><mixed-citation xml:lang="en">Lee K.K., Birring S.S. Cough and sleep. Lung, 2010, vol. 188, no. 1, pp. S91-S94. doi: 10.1007/s00408-009-9176-0.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Liu J.-M., You M., Wang Z. et al. Cough event classification by pretrained deep neural network // BMC Med. Inform. Decis Mak. ‒ 2015. ‒ Vol. 15. S2. DOI: 10.1186/1472-6947-15-S4-S2.</mixed-citation><mixed-citation xml:lang="en">Lee K.K., Savani A., Matos S. et al. Four-hour cough frequency monitoring in chronic cough. Chest, 2012, vol. 142, no. 5, pp. 1237-1243. doi: 10.1378/chest.11-3309.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Marsden P. A., Satia I., Ibrahim B. et al. Objective cough frequency, airway inflammation, and disease control in asthma // Chest. ‒ 2016. ‒ Vol. 149, № 6. ‒ Р. 1460-1466. DOI: 10.1016/j.chest.2016.02.676.</mixed-citation><mixed-citation xml:lang="en">Liu J.-M., You M., Wang Z. et al. Cough event classification by pretrained deep neural network. BMC Med. Inform. Decis Mak., 2015, vol. 15, S2. doi: 10.1186/1472-6947-15-S4-S2.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">McGuinness K., Holt K., Dockry R. et al. P159 Validation of the VitaloJAK™ 24 hour ambulatory cough monitor // Thorax. ‒ 2012. ‒ Vol. 67, № 2. A159. DOI: 10.1136/thoraxjnl-2012-202678.220.</mixed-citation><mixed-citation xml:lang="en">Marsden P.A., Satia I., Ibrahim B. et al. Objective cough frequency, airway inflammation, and disease control in asthma. Chest, 2016, vol. 149, no. 6, pp. 1460-1466. doi: 10.1016/j.chest.2016.02.676.</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">McGuinness K., Ward K., Reilly C. C. et al. Muscle activation and sound during voluntary single coughs and cough peals in healthy volunteers: Insights into cough intensity // Respir. Physiol. Neurobiol. ‒ 2018. ‒ Vol. 257. ‒ Р. 42-50. DOI: 10.1016/j.resp.2018.02.014.</mixed-citation><mixed-citation xml:lang="en">McGuinness K., Holt K., Dockry R. et al. P159 Validation of the VitaloJAK™ 24 hour ambulatory cough monitor. Thorax, 2012, vol. 67, no. 2, A159. doi: 10.1136/thoraxjnl-2012-202678.220.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Mohammadi H., Samadani A. A., Steele C. et al. Automatic discrimination between cough and non-cough accelerometry signal artefacts // Biomed Signal Process Control. ‒ 2019. ‒ Vol. 52. ‒ Р. 394-402. DOI: 10.1016/j.bspc.2018.10.013.</mixed-citation><mixed-citation xml:lang="en">McGuinness K., Ward K., Reilly C.C. et al. Muscle activation and sound during voluntary single coughs and cough peals in healthy volunteers: Insights into cough intensity. Respir. Physiol. Neurobiol., 2018, vol. 257, pp. 42-50. doi: 10.1016/j.resp.2018.02.014.</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Pavesi L., Subburaj S., Porter-Shaw K. Application and validation of a computerized cough acquisition system for objective monitoring of acute cough: A meta-analysis // Chest. ‒ 2001. ‒ Vol. 120. ‒ Р. 1121-1128. DOI: 10.1378/chest.120.4.1121.</mixed-citation><mixed-citation xml:lang="en">Mohammadi H., Samadani A.A., Steele C. et al. Automatic discrimination between cough and non-cough accelerometry signal artefacts. Biomed Signal Process Control, 2019, vol. 52, pp. 394-402. doi: 10.1016/j.bspc.2018.10.013.</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Perez M. V., Mahaffey K. W., Hedlin H. et al. Large-scale assessment of a smartwatch to identify atrial fibrillation // New Engl. J. Med. ‒ 2019. ‒ Vol. 381. ‒ Р. 1909-1917. DOI: 10.1056/NEJMoa1901183.</mixed-citation><mixed-citation xml:lang="en">Pavesi L., Subburaj S., Porter-Shaw K. Application and validation of a computerized cough acquisition system for objective monitoring of acute cough: A meta-analysis. Chest, 2001, vol. 120, pp. 1121-1128. doi: 10.1378/chest.120.4.1121.</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Portnoy J. M., Waller M., De Lurgio S. et al. Telemedicine is as effective as in-person visits for patients with asthma // Ann. Allergy Asthma Immunol. ‒ 2016. ‒ Vol. 117. ‒ Р. 241-245. DOI: 10.1016/j.anai.2016.07.012.</mixed-citation><mixed-citation xml:lang="en">Perez M.V., Mahaffey K.W., Hedlin H. et al. Large-scale assessment of a smartwatch to identify atrial fibrillation. New Engl. J. Med., 2019, vol. 381, pp. 1909-1917. doi: 10.1056/NEJMoa1901183.</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Proaño A., Bravard M. A., López J. W. et al. Dynamics of cough frequency in adults undergoing treatment for pulmonary tuberculosis // Clin. Infect. Dis. ‒ 2017. ‒ Vol. 64, № 9. ‒ Р. 1174-1181. DOI:0.1093/cid/cix039.</mixed-citation><mixed-citation xml:lang="en">Portnoy J.M., Waller M., De Lurgio S. et al. Telemedicine is as effective as in-person visits for patients with asthma. Ann. Allergy Asthma Immunol., 2016, vol. 117, pp. 241-245. doi: 10.1016/j.anai.2016.07.012.</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Proaño A., Bravard M. A., Tracey B. H. et al. Protocol for studying cough frequency in people with pulmonary tuberculosis // BMJ Open. ‒ 2016. ‒ Vol. 6, № 4. ‒ Р. e010365. DOI: 10.1136/bmjopen-2015-010365.</mixed-citation><mixed-citation xml:lang="en">Proaño A., Bravard M.A., López J.W. et al. Dynamics of cough frequency in adults undergoing treatment for pulmonary tuberculosis. Clin. Infect. Dis., 2017, vol. 64, no. 9, pp. 1174-1181. DOI:0.1093/cid/cix039.</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Rao A., Huynh E., Royston T. J. et al. Acoustic methods for pulmonary diagnosis // IEEE Rev Biomed Eng. ‒ 2019. ‒ Vol. 12. ‒ Р. 221-239. DOI: 10.1109/RBME.2018.2874353.</mixed-citation><mixed-citation xml:lang="en">Proaño A., Bravard M.A., Tracey B.H. et al. Protocol for studying cough frequency in people with pulmonary tuberculosis. BMJ Open, 2016, vol. 6, no. 4, pp. e010365. doi: 10.1136/bmjopen-2015-010365.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Ryan N. M., Birring S. S., Gibson P. G. Gabapentin for refractory chronic cough: A randomised, double-blind, placebo-controlled trial // Lancet. ‒ 2012. ‒ Vol. 380. ‒ Р. 1583-1589. DOI: 10.1016/S0140-6736(12)60776-4.</mixed-citation><mixed-citation xml:lang="en">Rao A., Huynh E., Royston T.J. et al. Acoustic methods for pulmonary diagnosis. IEEE Rev Biomed Eng., 2019, vol. 12, pp. 221-239. doi: 10.1109/RBME.2018.2874353.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Sinha A., Lee K. K., Rafferty G. F. et al. Predictors of objective cough frequency in pulmonary sarcoidosis // Eur. Respir. J. ‒ 2016. ‒ Vol. 47. ‒ Р. 1461-1471.(94). DOI: 10.1183/13993003.01369-2015.</mixed-citation><mixed-citation xml:lang="en">Ryan N.M., Birring S.S., Gibson P.G. Gabapentin for refractory chronic cough: A randomised, double-blind, placebo-controlled trial. Lancet, 2012, vol. 380, pp. 1583-1589. doi: 10.1016/S0140-6736(12)60776-4.</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Smartphone users worldwide 2020. Statista [Internet]. Accessed January 26, 2021. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/</mixed-citation><mixed-citation xml:lang="en">Sinha A., Lee K.K., Rafferty G.F. et al. Predictors of objective cough frequency in pulmonary sarcoidosis. Eur. Respir. J., 2016, vol. 47, pp. 1461-1471.(94). doi: 10.1183/13993003.01369-2015.</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Smith J., Woodcock A. New Developments in the objective assessment of cough // Lung. ‒ 2008. ‒ Vol. 186 (S1). ‒ Р. 48-54. DOI: 10.1007/s00408-007-9059-1.</mixed-citation><mixed-citation xml:lang="en">Smartphone users worldwide 2020. Statista [Internet]. Accessed January 26, 2021. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Smith J. A., Kitt M. M., Morice A. H. et al. Gefapixant, a P2X3 receptor antagonist, for the treatment of refractory or unexplained chronic cough: a randomised, double-blind, controlled, parallel-group, phase 2b trial // Lancet Respir. Med. ‒ 2020. ‒ Vol. 8, № 8. ‒ Р. 775-785. DOI: 10.1016/S2213-2600(19)30471-0.</mixed-citation><mixed-citation xml:lang="en">Smith J., Woodcock A. New Developments in the objective assessment of cough. Lung, 2008, vol. 186 (S1), pp. 48-54. doi: 10.1007/s00408-007-9059-1.</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Smith J. A., Owen E. C., Jones A. M. et al. Objective measurement of cough during pulmonary exacerbations in adults with cystic fibrosis // Thorax. ‒ 2006. ‒ Vol. 61, № 5. ‒ Р. 425-429. DOI: 10.1136/thx.2005.050963.</mixed-citation><mixed-citation xml:lang="en">Smith J.A., Kitt M.M., Morice A.H. et al. Gefapixant, a P2X3 receptor antagonist, for the treatment of refractory or unexplained chronic cough: a randomised, double-blind, controlled, parallel-group, phase 2b trial. Lancet Respir. Med., 2020, vol. 8, no. 8, pp. 775-785. doi: 10.1016/S2213-2600(19)30471-0.</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Spinou A., Lee K. K., Sinha A. et al. The objective assessment of cough frequency in bronchiectasis // Lung. ‒ 2017. ‒ Vol. 195, № 5. ‒ Р. 575-585. DOI: 10.1007/s00408-017-0038-x.</mixed-citation><mixed-citation xml:lang="en">Smith J.A., Owen E.C., Jones A.M. et al. Objective measurement of cough during pulmonary exacerbations in adults with cystic fibrosis. Thorax, 2006, vol. 61, no. 5, pp. 425-429. doi: 10.1136/thx.2005.050963.</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Turner R. D., Birring S. S., Darmalingam M. et al. Daily cough frequency in tuberculosis and association with household infection // Int. J. Tuberc. Lung Dis. ‒ 2018. ‒ Vol. 22, № 8. ‒ Р. 863-870. DOI: 10.5588/ijtld.17.0652.</mixed-citation><mixed-citation xml:lang="en">Spinou A., Lee K.K., Sinha A. et al. The objective assessment of cough frequency in bronchiectasis. Lung, 2017, vol. 195, no. 5, pp. 575-585. doi: 10.1007/s00408-017-0038-x.</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Turner R. D., Bothamley G. H. How to count coughs? Counting by ear, the effect of visual data and the evaluation of an automated cough monitor // Respir. Med. ‒ 2014. ‒ Vol. 108, № 12. ‒ Р. 1808-1815. DOI:10.1016/j.rmed.2014.10.003.</mixed-citation><mixed-citation xml:lang="en">Turner R.D., Birring S.S., Darmalingam M. et al. Daily cough frequency in tuberculosis and association with household infection. Int. J. Tuberc. Lung Dis., 2018, vol. 22, no. 8, pp. 863-870. doi: 10.5588/ijtld.17.0652.</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Turner R. D. Cough in pulmonary tuberculosis: Existing knowledge and general insights // Pulm. Pharmacol. Ther. ‒ 2019. ‒ Vol. 55. ‒ Р. 89-94. DOI: 10.1016/j.pupt.2019.01.008.</mixed-citation><mixed-citation xml:lang="en">Turner R.D., Bothamley G.H. How to count coughs? Counting by ear, the effect of visual data and the evaluation of an automated cough monitor. Respir. Med., 2014, vol. 108, no. 12, pp. 1808-1815. DOI:10.1016/j.rmed.2014.10.003.</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Vernon M., Kline Leidy N., Nacson A., Nelsen L. Measuring cough severity: development and pilot testing of a new seven-item cough severity patient-reported outcome measure // Ther. Adv. Respir. Dis. ‒ 2010. ‒ Vol. 4, № 4. ‒ Р. 199-208. DOI: 10.1177/1753465810372526.</mixed-citation><mixed-citation xml:lang="en">Turner R.D. Cough in pulmonary tuberculosis: Existing knowledge and general insights. Pulm. Pharmacol. Ther., 2019, vol. 55, pp. 89-94. doi: 10.1016/j.pupt.2019.01.008.</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Vizel E., Yigla M., Goryachev Y. et al. Validation of an ambulatory cough detection and counting application using voluntary cough under different conditions // Cough. ‒ 2010. ‒ Vol. 6, № 1. ‒ Р. 3. DOI: 10.1186/1745-9974-6-3.</mixed-citation><mixed-citation xml:lang="en">Vernon M., Kline Leidy N., Nacson A., Nelsen L. Measuring cough severity: development and pilot testing of a new seven-item cough severity patient-reported outcome measure. Ther. Adv. Respir. Dis., 2010, vol. 4, no. 4, pp. 199-208. doi: 10.1177/1753465810372526.</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Williams C. M., Abdulwhhab M., Birring S. S. et al. Exhaled Mycobacterium tuberculosis output and detection of subclinical disease by face-mask sampling: prospective observational studies // Lancet Infect. Dis. ‒ 2020. ‒ Vol. 20, № 5. ‒ Р. 607-617. DOI: 0.1016/S1473-3099(19)30707-8.</mixed-citation><mixed-citation xml:lang="en">Vizel E., Yigla M., Goryachev Y. et al. Validation of an ambulatory cough detection and counting application using voluntary cough under different conditions. Cough, 2010, vol. 6, no. 1, pp. 3. doi: 10.1186/1745-9974-6-3.</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Windmon A., Minakshi M., Bhart P. et al. TussisWatch: A smart-phone system to identify cough episodes as early symptoms of chronic obstructive pulmonary disease and congestive heart failure // IEEE J. Biomed. Health Inform. ‒ 2019. ‒ Vol. 23, № 4. ‒ Р. 1566-1573. DOI: 10.1109/JBHI.2018.2872038.</mixed-citation><mixed-citation xml:lang="en">Williams C.M., Abdulwhhab M., Birring S.S. et al. Exhaled Mycobacterium tuberculosis output and detection of subclinical disease by face-mask sampling: prospective observational studies. Lancet Infect. Dis., 2020, vol. 20, no. 5, pp. 607-617. doi: 0.1016/S1473-3099(19)30707-8.</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Yousaf N., Monteiro W., Matos S. et al. Cough frequency in health and disease // Eur. Respir. J. ‒ 2013. ‒ Vol. 41, № 1. ‒ Р. 241-243. DOI: 10.1183/09031936.00089312.</mixed-citation><mixed-citation xml:lang="en">Windmon A., Minakshi M., Bhart P. et al. TussisWatch: A smart-phone system to identify cough episodes as early symptoms of chronic obstructive pulmonary disease and congestive heart failure. IEEE J. Biomed. Health Inform., 2019, vol. 23, no. 4, pp. 1566-1573. doi: 10.1109/JBHI.2018.2872038.</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Yousaf N., Monteiro W., Parker D. et al. Long-term low-dose erythromycin in patients with unexplained chronic cough: A double-blind placebo controlled trial // Thorax. ‒ 2010. ‒ Vol. 65, № 12. ‒ Р. 1107-1110. DOI: 10.1136/thx.2010.142711.</mixed-citation><mixed-citation xml:lang="en">Yousaf N., Monteiro W., Matos S. et al. Cough frequency in health and disease. Eur. Respir. J., 2013, vol. 41, no. 1, pp. 241-243. doi: 10.1183/09031936.00089312.</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Yuen C. M., Amanullah F., Dharmadhikari A. et al. Turning off the tap: Stopping tuberculosis transmission through active case-finding and prompt effective treatment // Lancet. ‒ 2015. ‒ № 386. ‒ Р. 2334-2343. DOI: 10.1016/S0140-6736(15)00322-0.</mixed-citation><mixed-citation xml:lang="en">Yousaf N., Monteiro W., Parker D. et al. Long-term low-dose erythromycin in patients with unexplained chronic cough: A double-blind placebo controlled trial. Thorax, 2010, vol. 65, no. 12, pp. 1107-1110. doi: 10.1136/thx.2010.142711.</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Yuen C.M., Amanullah F., Dharmadhikari A. et al. Turning off the tap: Stopping tuberculosis transmission through active case-finding and prompt effective treatment. Lancet, 2015, no. 386, pp. 2334-2343. doi: 10.1016/S0140-6736(15)00322-0.</mixed-citation><mixed-citation xml:lang="en">Yuen C.M., Amanullah F., Dharmadhikari A. et al. Turning off the tap: Stopping tuberculosis transmission through active case-finding and prompt effective treatment. Lancet, 2015, no. 386, pp. 2334-2343. doi: 10.1016/S0140-6736(15)00322-0.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
