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1. Respiratory health and quality of life in young exclusive, habitual smokers - a comparison of waterpipe smokers, cigarette smokers and non-smokers

Author

Hawari FI, Obeidat NA, Abu Alhalawa M, Al-Busaidi Z, Amara B, Baddar S, Elhabiby M, and Elkholy H

Subjects
tobacco, hookah, cough, phlegm, lung diseases, early onset, Diseases of the respiratory system, RC705-779
Abstract

F I Hawari,1 N A Obeidat,2 M Abu Alhalawa,2 Z Al-Busaidi,3 B Amara,4 S Baddar,3 M Elhabiby,5 H Elkholy51Cancer Control Office, King Hussein Cancer Center, School of Medicine, University of Jordan, Amman, Jordan; 2Cancer Control Office, King Hussein Cancer Center, Amman, Jordan; 3Department of Medicine, Sultan Qaboos University Hospital, Muscat, Oman; 4Faculty of Medicine, Sidi Mohamed Ben Abdellah University, Fez, Morocco; 5Department of Neurology and Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, EgyptPurpose: Waterpipe (WP) use has become a global trend in young populations. However, there are few well-controlled studies focusing specifically on the chronic effects of exclusive WP use on young adults’ respiratory health. We sought to compare in young adults the burden of respiratory symptoms in regular WP smokers (WPS) relative to regular cigarette smokers (CS, positive controls) and non-smokers (negative controls); and to evaluate differences in health-related quality of life between the three groups.Method: We implemented a cross-sectional survey in college campuses across four countries (Egypt, Jordan, Morocco and Oman). Purposive sampling was employed to identify habitual (regular) healthy WPS (smoked 3 or more WP per week for 3 or more years); CS (smoked 5 or more cigarettes daily for 3 or more years); and non-smokers. Respiratory symptoms were assessed using the European Community Respiratory Health Survey and the American Thoracic Society and the Division of Lung Diseases Questionnaire. Health-related quality of life was measured using the Short-Form 12. Demographic, environmental and lifestyle factors also were measured.Result: The analytic sample included 135 WPS, 303 CS, and 300 non-smokers. Either tobacco group had significantly greater proportions of males than the non-smoker group. A significantly lower proportion of non-smokers (than either tobacco group) was overweight or obese. Average numbers of reported respiratory symptoms were 5.1, 5.8, and 2.9 in WPS, CS, and non-smokers, respectively. In multivariable regressions controlling for environmental exposures, body mass index, and physical activity, WPS and CS exhibited significantly higher rates of respiratory symptoms than non-smokers (1.6 times greater and 1.9 times greater rate of respiratory symptoms than non-smokers, respectively). Non-smokers reported significantly higher scores for general health relative to either WPS or CS.Conclusion: Relative to their young non-smoking counterparts, young habitual WPS exhibit a significant burden of respiratory symptoms that is comparable to that observed with CS. Young WPS (and CS), despite their age, may be well on their way to developing respiratory disease.Keywords: tobacco, hookah, cough, phlegm, lung diseases, early onset

Published
2019

2. A FRAMEWORK FOR MULTI-SENSOR POSITIONING AND MAPPING FOR AUTONOMOUS VEHICLES

Author

Noureldin, A. and Elhabiby, M.

Abstract

Autonomous vehicles (AVs) are cars, buses or trucks that can travel with limited or no human intervention. They combine sensors, perception systems, and software to control, navigate, and safely drive the vehicle. AVs promise to improve the efficiency of our transportation system, reduce collisions and traffic congestion and improve mobility for our growing population. As the world continues to move toward a more efficient transportation system driven by AVs, there is a growing demand for new technologies that guarantee efficient and safe operation. Trust in AVs hinges on the reliability of autonomy, including the crucial task of positioning, which should be accurately provided at high precision everywhere for all environments. This paper introduces a framework for developing and deploying robust positioning and mapping systems for AVs at a submeter level of accuracy with high integrity. We introduce a new paradigm for the positioning and mapping of AVs that expands the capabilities of the present technologies and enables the processing of a broader range of complementary sensors and systems on a single platform. The target is to sustain this performance seamlessly everywhere in all operating and weather conditions relying on the suite of wireless and perception systems in addition to the vehicle's onboard sensors. Some sample results demonstrating the submeter level of positioning in various environments are discussed in this paper. This research will significantly impact the acceptance of and trust in AVs by enhancing safety and reliability and decreasing the failure rate in degraded environments.

Published
2023
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9. A Global Survey on Changes in the Supply, Price, and Use of Illicit Drugs and Alcohol, and Related Complications During the 2020 COVID-19 Pandemic

Author

Farhoudian, A, Radfar, S, Ardabili, H, Rafei, P, Ebrahimi, M, Zonoozi, A, De Jong, C, Vahidi, M, Yunesian, M, Kouimtsidis, C, Arunogiri, S, Hansen, H, Brady, K, Potenza, M, Baldacchino, A, Ekhtiari, H, Abagiu, A, Abouna, F, Ahmed, M, Al-Ansari, B, Al-Khair, F, Almaqbali, M, Ambekar, A, Arya, S, Asebikan, V, Ayasreh, M, Basu, D, Benmebarek, Z, Bhad, R, Blaise, M, Bonnet, N, Brasch, J, Broers, B, Busse, A, Butner, J, Camilleri, M, Campello, G, Carra, G, Celic, I, Chalabianloo, F, Chaturvedi, A, Cherpitel, J, Clark, K, Cyders, M, de Bernardis, E, Deilamizade, A, Derry, J, Dhagudu, N, Dolezalova, P, Dom, G, Dunlop, A, Elhabiby, M, Elkholy, H, Essien, N, Farah, G, Ferri, M, Floros, G, Friedman, C, Fuderanan, C, Gerra, G, Ghosh, A, Gogia, M, Grammatikopoulos, I, Grandinetti, P, Guirguis, A, Gutnisky, D, Haber, P, Hassani-Abharian, P, Hooshyari, Z, Ibrahim, I, Ieong, H, Indradewi, R, Iskandar, S, Isra, T, Jain, S, James, S, Javadi, S, Joe, K, Jokubonis, D, Jovanova, A, Kamal, R, Kantchelov, A, Kathiresan, P, Katzman, G, Kawale, P, Kern, A, Kessler, F, Kim, S, Kimball, A, Kljucevic, Z, Kurniasanti, K, Lev, R, Lee, H, Lengvenyte, A, Lev-Ran, S, Mabelya, G, Mahi, M, Maphisa, J, Maremmani, I, Masferrer, L, Massah, O, Mccambridge, O, Mcgovern, G, Min, A, Moghanibashi-Mansourieh, A, Mora-Rios, J, Mudalige, I, Mukherjee, D, Munira, P, Myers, B, Menon, T, Narasimha, V, Ndionuka, N, Nejatisafa, A, Niaz, K, Nizami, A, Nuijens, J, Orsolini, L, Oum, V, Oyemade, A, Palavra, I, Pant, S, Paredes, J, Peyron, E, Quiros, R, Qurishi, R, Rafiq, N, Raghavendra Rao, R, Ratta-Apha, W, Raymond, K, Reimer, J, Renaldo, E, Rezapour, T, Robertson, J, Roncero, C, Roub, F, Rubenstein, E, Rupp, C, Saenz, E, Salehi, M, Samartzis, L, Sarubbo, L, Segrec, N, Shah, B, Shen, H, Shirasaka, T, Shoptaw, S, Sintango, F, Sosa, V, Subata, E, Sztycberg, N, Taghizadeh, F, Wee Teck, J, Tjagvad, C, Torrens, M, Twala, J, Vadivel, R, Volpicelli, J, Weijs, J, Wintoniw, S, Wittayanookulluk, A, Wojnar, M, Yasir, S, Yitayih, Y, Zhao, M, Farhoudian A., Radfar S. R., Ardabili H. M., Rafei P., Ebrahimi M., Zonoozi A. K., De Jong C. A. J., Vahidi M., Yunesian M., Kouimtsidis C., Arunogiri S., Hansen H., Brady K. T., Potenza M. N., Baldacchino A. M., Ekhtiari H., Abagiu A. O., Abouna F. D. N., Ahmed M. H., Al-Ansari B., Al-Khair F. M. A., Almaqbali M. H., Ambekar A., Arya S., Asebikan V. O., Ayasreh M. A., Basu D., Benmebarek Z., Bhad R., Blaise M., Bonnet N., Brasch J., Broers B., Busse A., Butner J. L., Camilleri M., Campello G., Carra G., Celic I., Chalabianloo F., Chaturvedi A., Cherpitel J. J. E. N., Clark K. J., Cyders M. A., de Bernardis E., Deilamizade A., Derry J. E., Dhagudu N. K., Dolezalova P., Dom G., Dunlop A. J., Elhabiby M. M., Elkholy H., Essien N. F., Farah G. I., Ferri M., Floros G. D., Friedman C., Fuderanan C. H., Gerra G., Ghosh A., Gogia M., Grammatikopoulos I. A., Grandinetti P., Guirguis A., Gutnisky D., Haber P. S., Hassani-Abharian P., Hooshyari Z., Ibrahim I. I. M., Ieong H. F. -H., Indradewi R. N., Iskandar S., Isra T. N., Jain S., James S., Javadi S. M. H., Joe K. H., Jokubonis D., Jovanova A. T., Kamal R. M., Kantchelov A. I., Kathiresan P., Katzman G., Kawale P., Kern A. M., Kessler F. H. P., Kim S. -G. S., Kimball A. M., Kljucevic Z., Kurniasanti K. S., Lev R., Lee H. K., Lengvenyte A., Lev-Ran S., Mabelya G. S., Mahi M. A. E., Maphisa J. M., Maremmani I., Masferrer L., Massah O., McCambridge O., McGovern G. G., Min A. K., Moghanibashi-Mansourieh A., Mora-Rios J., Mudalige I. U. K., Mukherjee D., Munira P. M., Myers B., Menon T. N. J., Narasimha V. L., Ndionuka N., Nejatisafa A. -A., Niaz K., Nizami A. T., Nuijens J. H., Orsolini L., Oum V., Oyemade A. A., Palavra I. R., Pant S. B., Paredes J., Peyron E., Quiros R. A., Qurishi R., Rafiq N. U. Z., Raghavendra Rao R., Ratta-Apha W., Raymond K. -L., Reimer J., Renaldo E., Rezapour T., Robertson J. R., Roncero C., Roub F., Rubenstein E. J., Rupp C. I., Saenz E., Salehi M., Samartzis L., Sarubbo L. B., Segrec N., Shah B., Shen H., Shirasaka T., Shoptaw S., Sintango F. M., Sosa V. A., Subata E., Sztycberg N., Taghizadeh F., Wee Teck J. B. T., Tjagvad C., Torrens M., Twala J. M., Vadivel R., Volpicelli J. R., Weijs J., Wintoniw S. M., Wittayanookulluk A., Wojnar M., Yasir S., Yitayih Y., Zhao M., Farhoudian, A, Radfar, S, Ardabili, H, Rafei, P, Ebrahimi, M, Zonoozi, A, De Jong, C, Vahidi, M, Yunesian, M, Kouimtsidis, C, Arunogiri, S, Hansen, H, Brady, K, Potenza, M, Baldacchino, A, Ekhtiari, H, Abagiu, A, Abouna, F, Ahmed, M, Al-Ansari, B, Al-Khair, F, Almaqbali, M, Ambekar, A, Arya, S, Asebikan, V, Ayasreh, M, Basu, D, Benmebarek, Z, Bhad, R, Blaise, M, Bonnet, N, Brasch, J, Broers, B, Busse, A, Butner, J, Camilleri, M, Campello, G, Carra, G, Celic, I, Chalabianloo, F, Chaturvedi, A, Cherpitel, J, Clark, K, Cyders, M, de Bernardis, E, Deilamizade, A, Derry, J, Dhagudu, N, Dolezalova, P, Dom, G, Dunlop, A, Elhabiby, M, Elkholy, H, Essien, N, Farah, G, Ferri, M, Floros, G, Friedman, C, Fuderanan, C, Gerra, G, Ghosh, A, Gogia, M, Grammatikopoulos, I, Grandinetti, P, Guirguis, A, Gutnisky, D, Haber, P, Hassani-Abharian, P, Hooshyari, Z, Ibrahim, I, Ieong, H, Indradewi, R, Iskandar, S, Isra, T, Jain, S, James, S, Javadi, S, Joe, K, Jokubonis, D, Jovanova, A, Kamal, R, Kantchelov, A, Kathiresan, P, Katzman, G, Kawale, P, Kern, A, Kessler, F, Kim, S, Kimball, A, Kljucevic, Z, Kurniasanti, K, Lev, R, Lee, H, Lengvenyte, A, Lev-Ran, S, Mabelya, G, Mahi, M, Maphisa, J, Maremmani, I, Masferrer, L, Massah, O, Mccambridge, O, Mcgovern, G, Min, A, Moghanibashi-Mansourieh, A, Mora-Rios, J, Mudalige, I, Mukherjee, D, Munira, P, Myers, B, Menon, T, Narasimha, V, Ndionuka, N, Nejatisafa, A, Niaz, K, Nizami, A, Nuijens, J, Orsolini, L, Oum, V, Oyemade, A, Palavra, I, Pant, S, Paredes, J, Peyron, E, Quiros, R, Qurishi, R, Rafiq, N, Raghavendra Rao, R, Ratta-Apha, W, Raymond, K, Reimer, J, Renaldo, E, Rezapour, T, Robertson, J, Roncero, C, Roub, F, Rubenstein, E, Rupp, C, Saenz, E, Salehi, M, Samartzis, L, Sarubbo, L, Segrec, N, Shah, B, Shen, H, Shirasaka, T, Shoptaw, S, Sintango, F, Sosa, V, Subata, E, Sztycberg, N, Taghizadeh, F, Wee Teck, J, Tjagvad, C, Torrens, M, Twala, J, Vadivel, R, Volpicelli, J, Weijs, J, Wintoniw, S, Wittayanookulluk, A, Wojnar, M, Yasir, S, Yitayih, Y, Zhao, M, Farhoudian A., Radfar S. R., Ardabili H. M., Rafei P., Ebrahimi M., Zonoozi A. K., De Jong C. A. J., Vahidi M., Yunesian M., Kouimtsidis C., Arunogiri S., Hansen H., Brady K. T., Potenza M. N., Baldacchino A. M., Ekhtiari H., Abagiu A. O., Abouna F. D. N., Ahmed M. H., Al-Ansari B., Al-Khair F. M. A., Almaqbali M. H., Ambekar A., Arya S., Asebikan V. O., Ayasreh M. A., Basu D., Benmebarek Z., Bhad R., Blaise M., Bonnet N., Brasch J., Broers B., Busse A., Butner J. L., Camilleri M., Campello G., Carra G., Celic I., Chalabianloo F., Chaturvedi A., Cherpitel J. J. E. N., Clark K. J., Cyders M. A., de Bernardis E., Deilamizade A., Derry J. E., Dhagudu N. K., Dolezalova P., Dom G., Dunlop A. J., Elhabiby M. M., Elkholy H., Essien N. F., Farah G. I., Ferri M., Floros G. D., Friedman C., Fuderanan C. H., Gerra G., Ghosh A., Gogia M., Grammatikopoulos I. A., Grandinetti P., Guirguis A., Gutnisky D., Haber P. S., Hassani-Abharian P., Hooshyari Z., Ibrahim I. I. M., Ieong H. F. -H., Indradewi R. N., Iskandar S., Isra T. N., Jain S., James S., Javadi S. M. H., Joe K. H., Jokubonis D., Jovanova A. T., Kamal R. M., Kantchelov A. I., Kathiresan P., Katzman G., Kawale P., Kern A. M., Kessler F. H. P., Kim S. -G. S., Kimball A. M., Kljucevic Z., Kurniasanti K. S., Lev R., Lee H. K., Lengvenyte A., Lev-Ran S., Mabelya G. S., Mahi M. A. E., Maphisa J. M., Maremmani I., Masferrer L., Massah O., McCambridge O., McGovern G. G., Min A. K., Moghanibashi-Mansourieh A., Mora-Rios J., Mudalige I. U. K., Mukherjee D., Munira P. M., Myers B., Menon T. N. J., Narasimha V. L., Ndionuka N., Nejatisafa A. -A., Niaz K., Nizami A. T., Nuijens J. H., Orsolini L., Oum V., Oyemade A. A., Palavra I. R., Pant S. B., Paredes J., Peyron E., Quiros R. A., Qurishi R., Rafiq N. U. Z., Raghavendra Rao R., Ratta-Apha W., Raymond K. -L., Reimer J., Renaldo E., Rezapour T., Robertson J. R., Roncero C., Roub F., Rubenstein E. J., Rupp C. I., Saenz E., Salehi M., Samartzis L., Sarubbo L. B., Segrec N., Shah B., Shen H., Shirasaka T., Shoptaw S., Sintango F. M., Sosa V. A., Subata E., Sztycberg N., Taghizadeh F., Wee Teck J. B. T., Tjagvad C., Torrens M., Twala J. M., Vadivel R., Volpicelli J. R., Weijs J., Wintoniw S. M., Wittayanookulluk A., Wojnar M., Yasir S., Yitayih Y., and Zhao M.

Abstract

Background and Aims: COVID-19 has infected more than 77 million people worldwide and impacted the lives of many more, with a particularly devastating impact on vulnerable populations, including people with substance use disorders (SUDs). Quarantines, travel bans, regulatory changes, social distancing, and “lockdown” measures have affected drug and alcohol supply chains and subsequently their availability, price, and use patterns, with possible downstream effects on presentations of SUDs and demand for treatment. Given the lack of multicentric epidemiologic studies, we conducted a rapid global survey within the International Society of Addiction Medicine (ISAM) network in order to understand the status of substance-use patterns during the current pandemic. Design: Cross-sectional survey. Setting: Worldwide. Participants: Starting on April 4, 2020 during a 5-week period, the survey received 185 responses from 77 countries. Measurements: To assess addiction medicine professionals' perceived changes in drug and alcohol supply, price, use pattern, and related complications during the COVID-19 pandemic. Findings: Participants reported (among who answered “decreased” or “increased”) a decrease in drug supply (69.0%) and at the same time an increase in price (95.3%) globally. With respect to changes in use patterns, an increase in alcohol (71.7%), cannabis (63.0%), prescription opioids (70.9%), and sedative/hypnotics (84.6%) use was reported, while the use of amphetamines (59.7%), cocaine (67.5%), and opiates (58.2%) was reported to decrease overall. Conclusions: The global report on changes in the availability, use patterns, and complications of alcohol and drugs during the COVID-19 pandemic should be considered in making new policies and in developing mitigating measures and guidelines during the current pandemic (and probable future ones) in order to minimize risks to people with SUD.

Published
2021

10. Reorganization of Substance Use Treatment and Harm Reduction Services During the COVID-19 Pandemic: A Global Survey

Author

Radfar, S, De Jong, C, Farhoudian, A, Ebrahimi, M, Rafei, P, Vahidi, M, Yunesian, M, Kouimtsidis, C, Arunogiri, S, Massah, O, Deylamizadeh, A, Brady, K, Busse, A, Potenza, M, Ekhtiari, H, Baldacchino, A, Abagiu, A, Abouna, F, Ahmed, M, Al-ansari, B, Mahmmoud Abu Al-khair, F, Almaqbali, M, Ambekar, A, Ardabili, H, Arya, S, Lasebikan, V, Ayasreh, M, Basu, D, Benmebarek, Z, Bhad, R, Blaise, M, Bonnet, N, Brasch, J, Broers, B, Butner, J, Camilleri, M, Campello, G, Carra, G, Celic, I, Chalabianloo, F, Chaturvedi, A, de Jesus Eduardo Noyola Cherpitel, J, Clark, K, Cyders, M, de Bernardis, E, Derry, J, Dhagudu, N, Dolezalova, P, Dom, G, Dunlop, A, Elhabiby, M, Elkholy, H, Essien, N, Farah, G, Ferri, M, Floros, G, Friedman, C, Fuderanan, C, Gerra, G, Ghosh, A, Gogia, M, Grammatikopoulos, I, Grandinetti, P, Guirguis, A, Gutnisky, D, Haber, P, Hassani-Abharian, P, Hooshyari, Z, Ibrahim, I, Ieong, H, Indradewi, R, Iskandar, S, Jain, S, James, S, Javadi, S, Joe, K, Jokubonis, D, Jovanova, A, Kamal, R, Kantchelov, A, Kathiresan, P, Katzman, G, Kawale, P, Kern, A, Kessler, F, Kim, S, Kimball, A, Kljucevic, Z, Siste, K, Lev, R, Lee, H, Lengvenyte, A, Lev-ran, S, Mabelya, G, Mahi, M, Maphisa, J, Maremmani, I, Masferrer, L, Mccambridge, O, Mcgovern, G, Min, A, Moghanibashi-Mansourieh, A, Mora-Rios, J, Mudalige, I, Mukherjee, D, Munira, P, Myers, B, Menon T N, J, Narasimha, V, Ndionuka, N, Nejatisafa, A, Niaz, K, Nizami, A, Nuijens, J, Orsolini, L, Oum, V, Oyemade, A, Palavra, I, Pant, S, Paredes, J, Peyron, E, Alberto Quiros, R, Qurishi, R, Rafiq, N, Rao, R, Ratta-apha, W, Raymond, K, Reimer, J, Renaldo, E, Rezapour, T, Robertson, J, Roncero, C, Roub, F, Rubenstein, E, Rupp, C, Saenz, E, Salehi, M, Samartzis, L, Sarubbo, L, Segrec, N, Shah, B, Shen, H, Shirasaka, T, Shoptaw, S, Sintango, F, Sosa, V, Subata, E, Sztycberg, N, Taghizadeh, F, Teck, J, Tjagvad, C, Torrens, M, Twala, J, Vadivel, R, Volpicelli, J, Weijs, J, Wintoniw, S, Wittayanookulluk, A, Wojnar, M, Yasir, S, Yitayih, Y, Zhao, M, Zonoozi, A, Radfar S. R., De Jong C. A. J., Farhoudian A., Ebrahimi M., Rafei P., Vahidi M., Yunesian M., Kouimtsidis C., Arunogiri S., Massah O., Deylamizadeh A., Brady K. T., Busse A., Potenza M. N., Ekhtiari H., Baldacchino A. M., Abagiu A. O., Abouna F. D. N., Ahmed M. H., Al-ansari B., Mahmmoud Abu Al-khair F., Almaqbali M. H., Ambekar A., Ardabili H. M., Arya S., Lasebikan V. O., Ayasreh M. A., Basu D., Benmebarek Z., Bhad R., Blaise M., Bonnet N., Brasch J., Broers B., Butner J. L., Camilleri M., Campello G., Carra G., Celic I., Chalabianloo F., Chaturvedi A., de Jesus Eduardo Noyola Cherpitel J., Clark K. J., Cyders M. A., de Bernardis E., Derry J. E., Dhagudu N. K., Dolezalova P., Dom G., Dunlop A. J., Elhabiby M. M., Elkholy H., Essien N. F., Farah G. I., Ferri M., Floros G. D., Friedman C., Fuderanan C. H., Gerra G., Ghosh A., Gogia M., Grammatikopoulos I. A., Grandinetti P., Guirguis A., Gutnisky D., Haber P. S., Hassani-Abharian P., Hooshyari Z., Ibrahim I. I. M., Ieong H., Indradewi R. N., Iskandar S., Jain S., James S., Javadi S. M. H., Joe K. H., Jokubonis D., Jovanova A. T., Kamal R. M., Kantchelov A. I., Kathiresan P., Katzman G., Kawale P., Kern A. M., Kessler F. H. P., Kim S., Kimball A. M., Kljucevic Z., Siste K., Lev R., Lee H. K., Lengvenyte A., Lev-ran S., Mabelya G. S., Mahi M. A. E., Maphisa J., Maremmani I., Masferrer L., McCambridge O., McGovern G. G., Min A. K., Moghanibashi-Mansourieh A., Mora-Rios J., Mudalige I. U. K., Mukherjee D., Munira P. M., Myers B., Menon T N J., Narasimha V. L., Ndionuka N., Nejatisafa A., Niaz K., Nizami A. T., Nuijens J. H., Orsolini L., Oum V., Oyemade A. A., Palavra I. R., Pant S. B., Paredes J., Peyron E., Alberto Quiros R., Qurishi R., Rafiq N. U. Z., Rao R. R., Ratta-apha W., Raymond K., Reimer J., Renaldo E., Rezapour T., Robertson J. R., Roncero C., Roub F., Rubenstein E. J., Rupp C. I., Saenz E., Salehi M., Samartzis L., Sarubbo L. B., Segrec N., Shah B., Shen H., Shirasaka T., Shoptaw S., Sintango F. M., Sosa V. A., Subata E., Sztycberg N., Taghizadeh F., Teck J., Tjagvad C., Torrens M., Twala J. M., Vadivel R., Volpicelli J. R., Weijs J., Wintoniw S. M., Wittayanookulluk A., Wojnar M., Yasir S., Yitayih Y., Zhao M., Zonoozi A. K., Radfar, S, De Jong, C, Farhoudian, A, Ebrahimi, M, Rafei, P, Vahidi, M, Yunesian, M, Kouimtsidis, C, Arunogiri, S, Massah, O, Deylamizadeh, A, Brady, K, Busse, A, Potenza, M, Ekhtiari, H, Baldacchino, A, Abagiu, A, Abouna, F, Ahmed, M, Al-ansari, B, Mahmmoud Abu Al-khair, F, Almaqbali, M, Ambekar, A, Ardabili, H, Arya, S, Lasebikan, V, Ayasreh, M, Basu, D, Benmebarek, Z, Bhad, R, Blaise, M, Bonnet, N, Brasch, J, Broers, B, Butner, J, Camilleri, M, Campello, G, Carra, G, Celic, I, Chalabianloo, F, Chaturvedi, A, de Jesus Eduardo Noyola Cherpitel, J, Clark, K, Cyders, M, de Bernardis, E, Derry, J, Dhagudu, N, Dolezalova, P, Dom, G, Dunlop, A, Elhabiby, M, Elkholy, H, Essien, N, Farah, G, Ferri, M, Floros, G, Friedman, C, Fuderanan, C, Gerra, G, Ghosh, A, Gogia, M, Grammatikopoulos, I, Grandinetti, P, Guirguis, A, Gutnisky, D, Haber, P, Hassani-Abharian, P, Hooshyari, Z, Ibrahim, I, Ieong, H, Indradewi, R, Iskandar, S, Jain, S, James, S, Javadi, S, Joe, K, Jokubonis, D, Jovanova, A, Kamal, R, Kantchelov, A, Kathiresan, P, Katzman, G, Kawale, P, Kern, A, Kessler, F, Kim, S, Kimball, A, Kljucevic, Z, Siste, K, Lev, R, Lee, H, Lengvenyte, A, Lev-ran, S, Mabelya, G, Mahi, M, Maphisa, J, Maremmani, I, Masferrer, L, Mccambridge, O, Mcgovern, G, Min, A, Moghanibashi-Mansourieh, A, Mora-Rios, J, Mudalige, I, Mukherjee, D, Munira, P, Myers, B, Menon T N, J, Narasimha, V, Ndionuka, N, Nejatisafa, A, Niaz, K, Nizami, A, Nuijens, J, Orsolini, L, Oum, V, Oyemade, A, Palavra, I, Pant, S, Paredes, J, Peyron, E, Alberto Quiros, R, Qurishi, R, Rafiq, N, Rao, R, Ratta-apha, W, Raymond, K, Reimer, J, Renaldo, E, Rezapour, T, Robertson, J, Roncero, C, Roub, F, Rubenstein, E, Rupp, C, Saenz, E, Salehi, M, Samartzis, L, Sarubbo, L, Segrec, N, Shah, B, Shen, H, Shirasaka, T, Shoptaw, S, Sintango, F, Sosa, V, Subata, E, Sztycberg, N, Taghizadeh, F, Teck, J, Tjagvad, C, Torrens, M, Twala, J, Vadivel, R, Volpicelli, J, Weijs, J, Wintoniw, S, Wittayanookulluk, A, Wojnar, M, Yasir, S, Yitayih, Y, Zhao, M, Zonoozi, A, Radfar S. R., De Jong C. A. J., Farhoudian A., Ebrahimi M., Rafei P., Vahidi M., Yunesian M., Kouimtsidis C., Arunogiri S., Massah O., Deylamizadeh A., Brady K. T., Busse A., Potenza M. N., Ekhtiari H., Baldacchino A. M., Abagiu A. O., Abouna F. D. N., Ahmed M. H., Al-ansari B., Mahmmoud Abu Al-khair F., Almaqbali M. H., Ambekar A., Ardabili H. M., Arya S., Lasebikan V. O., Ayasreh M. A., Basu D., Benmebarek Z., Bhad R., Blaise M., Bonnet N., Brasch J., Broers B., Butner J. L., Camilleri M., Campello G., Carra G., Celic I., Chalabianloo F., Chaturvedi A., de Jesus Eduardo Noyola Cherpitel J., Clark K. J., Cyders M. A., de Bernardis E., Derry J. E., Dhagudu N. K., Dolezalova P., Dom G., Dunlop A. J., Elhabiby M. M., Elkholy H., Essien N. F., Farah G. I., Ferri M., Floros G. D., Friedman C., Fuderanan C. H., Gerra G., Ghosh A., Gogia M., Grammatikopoulos I. A., Grandinetti P., Guirguis A., Gutnisky D., Haber P. S., Hassani-Abharian P., Hooshyari Z., Ibrahim I. I. M., Ieong H., Indradewi R. N., Iskandar S., Jain S., James S., Javadi S. M. H., Joe K. H., Jokubonis D., Jovanova A. T., Kamal R. M., Kantchelov A. I., Kathiresan P., Katzman G., Kawale P., Kern A. M., Kessler F. H. P., Kim S., Kimball A. M., Kljucevic Z., Siste K., Lev R., Lee H. K., Lengvenyte A., Lev-ran S., Mabelya G. S., Mahi M. A. E., Maphisa J., Maremmani I., Masferrer L., McCambridge O., McGovern G. G., Min A. K., Moghanibashi-Mansourieh A., Mora-Rios J., Mudalige I. U. K., Mukherjee D., Munira P. M., Myers B., Menon T N J., Narasimha V. L., Ndionuka N., Nejatisafa A., Niaz K., Nizami A. T., Nuijens J. H., Orsolini L., Oum V., Oyemade A. A., Palavra I. R., Pant S. B., Paredes J., Peyron E., Alberto Quiros R., Qurishi R., Rafiq N. U. Z., Rao R. R., Ratta-apha W., Raymond K., Reimer J., Renaldo E., Rezapour T., Robertson J. R., Roncero C., Roub F., Rubenstein E. J., Rupp C. I., Saenz E., Salehi M., Samartzis L., Sarubbo L. B., Segrec N., Shah B., Shen H., Shirasaka T., Shoptaw S., Sintango F. M., Sosa V. A., Subata E., Sztycberg N., Taghizadeh F., Teck J., Tjagvad C., Torrens M., Twala J. M., Vadivel R., Volpicelli J. R., Weijs J., Wintoniw S. M., Wittayanookulluk A., Wojnar M., Yasir S., Yitayih Y., Zhao M., and Zonoozi A. K.

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic has impacted people with substance use disorders (SUDs) worldwide, and healthcare systems have reorganized their services in response to the pandemic. Methods: One week after the announcement of the COVID-19 as a pandemic, in a global survey, 177 addiction medicine professionals described COVID-19-related health responses in their own 77 countries in terms of SUD treatment and harm reduction services. The health responses were categorized around (1) managerial measures and systems, (2) logistics, (3) service providers, and (4) vulnerable groups. Results: Respondents from over 88% of countries reported that core medical and psychiatric care for SUDs had continued; however, only 56% of countries reported having had any business continuity plan, and 37.5% of countries reported shortages of methadone or buprenorphine supplies. Participants of 41% of countries reported partial discontinuation of harm-reduction services such as needle and syringe programs and condom distribution. Fifty-seven percent of overdose prevention interventions and 81% of outreach services were also negatively impacted. Conclusions: Participants reported that SUD treatment and harm-reduction services had been significantly impacted globally early during the COVID-19 pandemic. Based on our findings, we highlight several issues and complications resulting from the pandemic concerning people with SUDs that should be tackled more efficiently during the future waves or similar pandemics. The issues and potential strategies comprise the following: (1) helping policymakers to generate business continuity plans, (2) maintaining the use of evidence-based interventions for people with SUDs, (3) being prepared for adequate medication supplies, (4) integrating harm reduction programs with other treatment modalities, and (5) having specific considerations for vulnerable groups such as immigrants and refugees.

Published
2021

12. Detection of GNSS no-line of sight signals using LiDAR sensors for intelligent transportation systems.

Author

Hassan, T., Fath-Allah, T., Elhabiby, M., Awad, A., and El-Tokhey, M.

Subjects
INTELLIGENT sensors, INTELLIGENT transportation systems, GLOBAL Positioning System, OPTICAL radar, LIDAR
Abstract

The reliability and robustness of positioning systems in urban and suburban environments are intrinsic. This is obvious following the continuous increase of Intelligent Transportation Systems (ITS) applications in such challenging environments. Global Navigation Satellite Systems (GNSS) represent the primary positioning technique used for navigation purposes in these applications, which can be satisfying in open-sky areas. However, GNSS cannot provide the same level of navigation performance in urban environments. One of the main reasons for this is the No-Line of Sight (NLOS) signals. In this study, the integration of GNSS and Light Detection and Ranging (LiDAR) sensors is exploited, and a new algorithm is proposed for the detection of NLOS signals. Real field data are used to test and validate the proposed strategy and algorithm. Phase-smoothed code observations are employed to evaluate the accuracy improvement after excluding the NLOS observations. The results show that the horizontal direction's positional accuracy can be improved significantly after applying the proposed algorithm. This improvement reaches 10.403 m with a mean value of 2.162 m (62.2% improvement) over all epochs with detected NLOS signals. After analysing this improvement in the Cross-Track (CT) and Along-Track (AT) directions, it is found that the accuracy improvement reaches 8.641 m with a mean value of 1.699 m in the CT direction and 6.879 m with a mean value of 1.303 m in the AT direction. [ABSTRACT FROM AUTHOR]

Published
2022
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20. Respiratory health and quality of life in young exclusive, habitual smokers - a comparison of waterpipe smokers, cigarette smokers and non-smokers

Author

Hawari,F.I., Obeidat,N.A., Abu Alhalawa,M., Al-Busaidi,Z., Amara,B., Baddar,S., Elhabiby,M., Elkholy,H., Hawari,F.I., Obeidat,N.A., Abu Alhalawa,M., Al-Busaidi,Z., Amara,B., Baddar,S., Elhabiby,M., and Elkholy,H.

Abstract

F I Hawari,1 N A Obeidat,2 M Abu Alhalawa,2 Z Al-Busaidi,3 B Amara,4 S Baddar,3 M Elhabiby,5 H Elkholy51Cancer Control Office, King Hussein Cancer Center, School of Medicine, University of Jordan, Amman, Jordan; 2Cancer Control Office, King Hussein Cancer Center, Amman, Jordan; 3Department of Medicine, Sultan Qaboos University Hospital, Muscat, Oman; 4Faculty of Medicine, Sidi Mohamed Ben Abdellah University, Fez, Morocco; 5Department of Neurology and Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, EgyptPurpose: Waterpipe (WP) use has become a global trend in young populations. However, there are few well-controlled studies focusing specifically on the chronic effects of exclusive WP use on young adults’ respiratory health. We sought to compare in young adults the burden of respiratory symptoms in regular WP smokers (WPS) relative to regular cigarette smokers (CS, positive controls) and non-smokers (negative controls); and to evaluate differences in health-related quality of life between the three groups.Method: We implemented a cross-sectional survey in college campuses across four countries (Egypt, Jordan, Morocco and Oman). Purposive sampling was employed to identify habitual (regular) healthy WPS (smoked 3 or more WP per week for 3 or more years); CS (smoked 5 or more cigarettes daily for 3 or more years); and non-smokers. Respiratory symptoms were assessed using the European Community Respiratory Health Survey and the American Thoracic Society and the Division of Lung Diseases Questionnaire. Health-related quality of life was measured using the Short-Form 12. Demographic, environmental and lifestyle factors also were measured.Result: The analytic sample included 135 WPS, 303 CS, and 300 non-smokers. Either tobacco group had significantly greater proportions of males than the non-smoker group. A significantly lower proportion of non-smokers (than either tobacco group) was overweight or obese. Average numbers of reported respiratory sympto

Published
2019

21. Multi‐slices navigation approach for unknown 3D environments using micro aerial vehicles.

Author

Mohamed, H. A., Moussa, A. M., El‐Sheimy, N., and Elhabiby, M. M.

Subjects
MICRO air vehicles, NAVIGATION, AUTONOMOUS robots
Abstract

Due to the small size of Micro Aerial Vehicles, they are well suited for various indoor applications, especially search/rescue operations. Most of these operations are performed in unknown 3D environments. Real‐time map construction and vehicle's localization are essential tasks. Various approaches provide solutions for 3D‐map representation. However, these approaches require expensive embedded systems to afford high‐processing memory/computational costs. Because of its exposure to risks, the MAV should be equipped with a low‐cost navigation system. The principal aim of map construction herein is to facilitate the navigation task. Thus, constructing a massive 3D map is not required. Consequently, this paper proposes an efficient real‐time 3D SLAM. The proposed method avoids the 3D‐map representation of each region of the trajectory. Alternatively, it divides the environment along the trajectory into several 2D maps with a single 2D map in every region at the height of the MAV, as well as a transient region between each of the two constructed maps to enable connecting neighboring maps. [ABSTRACT FROM AUTHOR]

Published
2021
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33. Monitoring the impact of unscheduled stops and unscheduled route deviations on bus service using Automatic Vehicle Location system: a case study.

Author

Osama, A., Mahdy, H., Kandil, K., and Elhabiby, M.

Subjects
BUSES, AUTOMATIC vehicle location systems, DISTANCES, BUS travel
Abstract

Cairo public bus service suffers from several problems such as unscheduled stops, unscheduled route deviations, and inaccurate schedules. This research aims to study those problems for a selected bus route in Cairo using a prototype AVL system. Locations of the unscheduled stops and unscheduled route deviations, along with other trip time and speed data, were collected. Passengers' reliability on the unscheduled stops was compared to theirs on the official scheduled stops. Trip time was also modelled to assess the unscheduled stops' impact on trip time, and to check the accuracy of the scheduled trip time. Moreover, the frequency and the distance of the unscheduled route deviations, as well as the bus stops skipped during the deviations, were investigated. Lastly, solutions were proposed, using the AVL system, for the studied bus service deficiencies; and recommendations were suggested for future research. [ABSTRACT FROM AUTHOR]

Published
2016

39. REGISTRATION OF TIME OF FLIGHT TERRESTRIAL LASER SCANNER DATA FOR THE STOP-AND-GO MODE.

Author

Badawy, H. M., Alsubaie, N. M., Elhabiby, M., and El-Sheimy, N.

Subjects
OPTICAL scanners, SCANNING systems, COMPUTERS in cartography, DIGITAL cameras, THREE-dimensional display systems
Abstract

Terrestrial Laser Scanners (TLS) are utilized through different data acquisition techniques such as Mobile Laser Scanning (MLS) and the output can be used in different applications such as 3D city modelling, cultural heritage documentations, oil and Gas as built, etc... In this research paper, we will investigate one of the modes of TLS on mobile mapping platform. Namely the Stop-and-Go (SAG) mode. Unlike the continuous mode, the Stop-and-Go mode does not require the use of IMU to estimate the TLS attitude and thus in-turn it has an overall reduction in the system cost. Moreover, it decreases the time required for data processing in comparison with the continuous mode. For successful use of SAG mobile mapping in urban areas, it is preferred to use a long range time of flight laser scanner to cover long distances in each scan and minimize the registration error. The problem arise with Long range laser scanners is their low point cloud density. The low point cloud density affects the registration accuracy specially in monitoring applications. The point spacing between points is one of the issues facing the registration especially when the matching points are chosen manually. Since most of TLS nowadays are equipped with camera on-board we can utilize the camera to get an initial estimate of the registration parameters based on image matching. After having an initial approximation of the registration parameters we feed those parameters to the Iterative Closest Point algorithm to obtain more accurate registration result. [ABSTRACT FROM AUTHOR]

Published
2014
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44. Reorganization of Substance Use Treatment and Harm Reduction Services During the COVID-19 Pandemic: A Global Survey

Author

Seyed Ramin Radfar, Cornelis A. J. De Jong, Ali Farhoudian, Mohsen Ebrahimi, Parnian Rafei, Mehrnoosh Vahidi, Masud Yunesian, Christos Kouimtsidis, Shalini Arunogiri, Omid Massah, Abbas Deylamizadeh, Kathleen T. Brady, Anja Busse, ISAM-PPIG Global Survey Consortium, Marc N. Potenza, Hamed Ekhtiari, Alexander Mario Baldacchino, Adrian Octavian Abagiu, Franck David Noel Abouna, Mohamed Hassan Ahmed, Basma Al-ansari, Feda Mahmmoud Abu Al-khair, Mandhar Humaid Almaqbali, Atul Ambekar, Hossein Mohaddes Ardabili, Sidharth Arya, Victor Olufolahan Lasebikan, Murad Ali Ayasreh, Debasish Basu, Zoubir Benmebarek, Roshan Bhad, Mario Blaise, Nicolas Bonnet, Jennifer Brasch, Barbara Broers, Jenna L. Butner, Moses Camilleri, Giovanna Campello, Giuseppe Carra, Ivan Celic, Fatemeh Chalabianloo, Abhishek Chaturvedi, José de Jesús Eduardo Noyola Cherpitel, Kelly J. Clark, Melissa Anne Cyders, Ernesto de Bernardis, John Edward Derry, Naveen Kumar Dhagudu, Pavla Dolezalova, Geert Dom, Adrian John Dunlop, Mahmoud Mamdouh Elhabiby, Hussien Elkholy, Nsidibe Francis Essien, Ghandi Ilias Farah, Marica Ferri, Georgios D Floros, Catherine Friedman, Clara Hidalgo Fuderanan, Gilberto Gerra, Abhishek Ghosh, Maka Gogia, Ilias A. Grammatikopoulos, Paolo Grandinetti, Amira Guirguis, David Gutnisky, Paul Steven Haber, Peyman Hassani-Abharian, Zahra Hooshyari, Islam Ibrahim Mokhtar Ibrahim, Hada Fong-ha Ieong, Regina Nova Indradewi, Shelly Iskandar, Shobhit Jain, Sandi James, Seyyed Mohammad hossein Javadi, Keun Ho Joe, Darius Jokubonis, Acka Tushevska Jovanova, Rama Mohamed Kamal, Alexander Ivanov Kantchelov, Preethy Kathiresan, Gary Katzman, Paul Kawale, Audrey Margaret Kern, Felix Henrique Paim Kessler, Sung-Gon Sue Kim, Ann Marie Kimball, Zeljko Kljucevic, Kristiana Siste, Roneet Lev, Hae Kook Lee, Aiste Lengvenyte, Shaul Lev-ran, Geni Seseja Mabelya, Mohamed Ali El Mahi, J. Maphisa Maphisa, Icro Maremmani, Laura Masferrer, Orlagh McCambridge, Garrett Gregory McGovern, Aung Kyi Min, Amir Moghanibashi-Mansourieh, Jazman Mora-Rios, Indika Udaya Kumara Mudalige, Diptadhi Mukherjee, Pejic Munira Munira, Bronwyn Myers, Jayakrishnan Menon T N, Venkata Lakshmi Narasimha, Nkemakolam Ndionuka, Ali-Akbar Nejatisafa, Kamran Niaz, Asad Tamizuddin Nizami, Jan H. Nuijens, Laura Orsolini, Vantheara Oum, Adegboyega Adekunle Oyemade, Irena Rojnia Palavra, Sagun Ballav Pant, Joselyn Paredes, Eric Peyron, Randall Alberto Quirós, Rouhollah Qurishi, Noor ul Zaman Rafiq, Ranjini Raghavendra Rao, Woraphat Ratta-apha, Karren-Lee Raymond, Jens Reimer, Eduardo Renaldo, Tara Rezapour, James Roy Robertson, Carlos Roncero, Fazle Roub, Elizabeth Jane Rubenstein, Claudia Ines Rupp, Elizabeth Saenz, Mohammad Salehi, Lampros Samartzis, Laura Beatriz Sarubbo, Nusa Segrec, Bigya Shah, Hongxian Shen, Tomohiro Shirasaka, Steve Shoptaw, Fransiskus Muronga Sintango, Veronica Andrea Sosa, Emilis Subata, Norberto Sztycberg, Fatemeh Taghizadeh, Joseph Brian Tay Wee Teck, Christian Tjagvad, Marta Torrens, Judith Meme Twala, Ramyadarshni Vadivel, Joseph Robert Volpicelli, Jelmer Weijs, Steven Michael Wintoniw, Apisak Wittayanookulluk, Marcin Wojnar, Sadia Yasir, Yimenu Yitayih, Min Zhao, Arash Khojasteh Zonoozi, ISAM-PPIG Global Survey Consortium, Radfar, S, De Jong, C, Farhoudian, A, Ebrahimi, M, Rafei, P, Vahidi, M, Yunesian, M, Kouimtsidis, C, Arunogiri, S, Massah, O, Deylamizadeh, A, Brady, K, Busse, A, Potenza, M, Ekhtiari, H, Baldacchino, A, Abagiu, A, Abouna, F, Ahmed, M, Al-ansari, B, Mahmmoud Abu Al-khair, F, Almaqbali, M, Ambekar, A, Ardabili, H, Arya, S, Lasebikan, V, Ayasreh, M, Basu, D, Benmebarek, Z, Bhad, R, Blaise, M, Bonnet, N, Brasch, J, Broers, B, Butner, J, Camilleri, M, Campello, G, Carra, G, Celic, I, Chalabianloo, F, Chaturvedi, A, de Jesus Eduardo Noyola Cherpitel, J, Clark, K, Cyders, M, de Bernardis, E, Derry, J, Dhagudu, N, Dolezalova, P, Dom, G, Dunlop, A, Elhabiby, M, Elkholy, H, Essien, N, Farah, G, Ferri, M, Floros, G, Friedman, C, Fuderanan, C, Gerra, G, Ghosh, A, Gogia, M, Grammatikopoulos, I, Grandinetti, P, Guirguis, A, Gutnisky, D, Haber, P, Hassani-Abharian, P, Hooshyari, Z, Ibrahim, I, Ieong, H, Indradewi, R, Iskandar, S, Jain, S, James, S, Javadi, S, Joe, K, Jokubonis, D, Jovanova, A, Kamal, R, Kantchelov, A, Kathiresan, P, Katzman, G, Kawale, P, Kern, A, Kessler, F, Kim, S, Kimball, A, Kljucevic, Z, Siste, K, Lev, R, Lee, H, Lengvenyte, A, Lev-ran, S, Mabelya, G, Mahi, M, Maphisa, J, Maremmani, I, Masferrer, L, Mccambridge, O, Mcgovern, G, Min, A, Moghanibashi-Mansourieh, A, Mora-Rios, J, Mudalige, I, Mukherjee, D, Munira, P, Myers, B, Menon T N, J, Narasimha, V, Ndionuka, N, Nejatisafa, A, Niaz, K, Nizami, A, Nuijens, J, Orsolini, L, Oum, V, Oyemade, A, Palavra, I, Pant, S, Paredes, J, Peyron, E, Alberto Quiros, R, Qurishi, R, Rafiq, N, Rao, R, Ratta-apha, W, Raymond, K, Reimer, J, Renaldo, E, Rezapour, T, Robertson, J, Roncero, C, Roub, F, Rubenstein, E, Rupp, C, Saenz, E, Salehi, M, Samartzis, L, Sarubbo, L, Segrec, N, Shah, B, Shen, H, Shirasaka, T, Shoptaw, S, Sintango, F, Sosa, V, Subata, E, Sztycberg, N, Taghizadeh, F, Teck, J, Tjagvad, C, Torrens, M, Twala, J, Vadivel, R, Volpicelli, J, Weijs, J, Wintoniw, S, Wittayanookulluk, A, Wojnar, M, Yasir, S, Yitayih, Y, Zhao, M, Zonoozi, A, University of St Andrews. School of Medicine, University of St Andrews. Centre for Minorities Research (CMR), and University of St Andrews. Population and Behavioural Science Division

Subjects
opioid agonist treatment, RC435-571, Psychological intervention, addiction services, Health administration, Experimental Psychopathology and Treatment, 0302 clinical medicine, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Pandemic, Severe acute respiratory syndrome coronavirus 2, Drug addiction, 030212 general & internal medicine, harm reduction, Original Research, Psychiatry, Public health, Addiction medicine, substance use disorder, public health, 3rd-DAS, Opiate agonist treatment, Addiction services, Outreach, Substance abuse, Psychiatry and Mental health, RM, COVID-19 pandemic, drug policy, medicine.medical_specialty, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Drug policy, medicine, Substance use disorders, Harm reduction, business.industry, SDG 16 - Peace, Justice and Strong Institutions, COVID-19, medicine.disease, addiction service, RM Therapeutics. Pharmacology, Coronavirus, Family medicine, Human medicine, business, 030217 neurology & neurosurgery
Abstract

Background:The coronavirus disease 2019 (COVID-19) pandemic has impacted people with substance use disorders (SUDs) worldwide, and healthcare systems have reorganized their services in response to the pandemic.Methods:One week after the announcement of the COVID-19 as a pandemic, in a global survey, 177 addiction medicine professionals described COVID-19-related health responses in their own 77 countries in terms of SUD treatment and harm reduction services. The health responses were categorized around (1) managerial measures and systems, (2) logistics, (3) service providers, and (4) vulnerable groups.Results:Respondents from over 88% of countries reported that core medical and psychiatric care for SUDs had continued; however, only 56% of countries reported having had any business continuity plan, and 37.5% of countries reported shortages of methadone or buprenorphine supplies. Participants of 41% of countries reported partial discontinuation of harm-reduction services such as needle and syringe programs and condom distribution. Fifty-seven percent of overdose prevention interventions and 81% of outreach services were also negatively impacted.Conclusions:Participants reported that SUD treatment and harm-reduction services had been significantly impacted globally early during the COVID-19 pandemic. Based on our findings, we highlight several issues and complications resulting from the pandemic concerning people with SUDs that should be tackled more efficiently during the future waves or similar pandemics. The issues and potential strategies comprise the following: (1) helping policymakers to generate business continuity plans, (2) maintaining the use of evidence-based interventions for people with SUDs, (3) being prepared for adequate medication supplies, (4) integrating harm reduction programs with other treatment modalities, and (5) having specific considerations for vulnerable groups such as immigrants and refugees.

Published
2021

45. Association of nitric oxide levels and lipid profile with endothelial dysfunction in type 2 diabetic patients.

Author

Algomizy H, Khan A, Smettei O, Elhabiby M, Mustafa AA, and Mohieldein A

Abstract

Background: Evidence-based screening is crucial to detect myocardial ischemia in high-risk diabetics. We explored the relationship between nitric oxide (NO) levels, lipid profile indices, and atherogenic index of plasma (AIP) in type 2 diabetics with coronary artery disease (CAD) and to determine their potential as prognostic markers., Materials and Methods: A case-control study included 50 diabetics with CAD (cases), 30 diabetics without CAD (control 1), and 23 healthy controls (control 2). Biochemical parameters were determined using standard protocols; plasma NO was measured via the Griess reaction., Results: Cases had the highest levels of NO, fasting blood sugar, glycated hemoglobin (HbA1c), and triglycerides, and the lowest total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels. Cases exhibited the highest TC: HDL-C, LDL-C: HDL-C, and AIP ratios. A significant positive correlation between NO and HbA1c ( r = 0.328, P = 0.020)., Conclusion: Chronic hyperglycemia could enhance NO overproduction driven by inducible isoform, suggesting a potential role for chronic hyperglycemia in endothelial dysfunction and vascular complications in diabetes., Competing Interests: There are no conflicts of interest., (Copyright: © 2024 Journal of Research in Medical Sciences.)

Published
2024
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46. A Cross-Sectional Analysis of Health Behavior in School-Aged Children: The Qassim Study.

Author

Mohieldein A, Elhabiby M, Abu Mustafa A, Shehade M, and Alsuhaibani S

Abstract

Background Childhood obesity is a worldwide public health epidemic. Sedentary lifestyles and unhealthy dietary patterns increased the rates of overweight and obesity among children. This study aimed to (1) estimate healthy behaviors (including dietary patterns and physical activity) and (2) determine the prevalence of overweight and obesity among Saudi school-aged children in the Qassim region, Saudi Arabia. Methods A population-based cross-sectional study was conducted among Saudi schoolchildren aged between five and 16 years old. The study group consisted of 339 children including 237 males and 102 females. Data were collected using a questionnaire based on the Health Behavior in School-Aged Children (HBSC) survey. Body mass index (BMI) for age and gender was computed for each child using the AnthroPlus 2007 software (World Health Organization {WHO}, Geneva, Switzerland). Statistical Package for Social Sciences (SPSS) version 23.0 (IBM SPSS Statistics, Armonk, NY) was used for data analyses. Results The prevalence of overweight and obesity among Saudi children was 46 (13.6%) and 81 (23.9%), respectively. Males consumed more soft drinks and energy drinks, whereas females consumed more fruit juice. As children grew older, the consumption of unhealthy food and beverages increased. Males engaged in more daily physical activity compared to females. Conclusion Saudi schoolchildren (aged 5-16 years) demonstrated significant gender-specific variations in dietary patterns and levels of physical activity. A significant proportion of Saudi children were overweight or obese. The study highlighted the complex relationship between age, school class, gender, and health behaviors among Saudi school-aged children. Policymakers and parents could benefit from the understanding of such complex relationships to promote healthy behaviors among school-aged children., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Mohieldein et al.)

Published
2023
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47. Beyond antipsychotics: the role of medication and nonmedication factors in female sexual dysfunctions in schizophrenia.

Author

Fayez F, Saad A, El Sheikh MM, Elhabiby M, Elkholy H, Abdel Aziz K, and ELNahas G

Subjects
Male, Female, Humans, Cross-Sectional Studies, Sexual Behavior, Surveys and Questionnaires, Sexual Dysfunctions, Psychological chemically induced, Sexual Dysfunctions, Psychological epidemiology, Sexual Dysfunctions, Psychological complications, Antipsychotic Agents adverse effects, Schizophrenia drug therapy
Abstract

To date, few studies have investigated male sexual dysfunctions (FSDs) in schizophrenia in non-Western countries, with most studies focusing on the sexual side effects of antipsychotic medications. Therefore, we aimed to screen for FSD in a sample of Egyptian females with schizophrenia, compare them to controls and to investigate demographic and clinical parameters associated with FSD. We conducted a cross-sectional study of 72 medicated and unmedicated females with schizophrenia (27 unmedicated and 45 medicated) and 24 controls. They were assessed using the Female Sexual Function Index (FSFI) and data were collected for demographic and clinical parameters. We found that females with schizophrenia had significantly lower scores on the FSFI compared to controls and that 93.1% of females with schizophrenia reached the threshold for FSD (FSFI score ≤26), compared to 87.5% of controls. Medicated and unmedicated subjects did not differ significantly in most domains of the FSFI. Age, duration of illness, positive and negative syndrome Scale total, positive and negative symptom scores correlated significantly with the majority of domains of the FSFI. Rates of FSD are very high in both schizophrenia and controls and correlate in schizophrenia with a number of demographic and clinical parameters, suggesting that FSDs are not restricted to the side effects of medications. There is a need to screen for sexual function in routine practice, and for developing active strategies to tackle sexual dysfunctions., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Published
2023
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48. Prevalence of smartphone addiction and its correlates in a sample of Egyptian university students.

Author

Okasha T, Saad A, Ibrahim I, Elhabiby M, Khalil S, and Morsy M

Subjects
Humans, Universities, Prevalence, Egypt epidemiology, Surveys and Questionnaires, Students psychology, Internet Addiction Disorder, Behavior, Addictive epidemiology, Behavior, Addictive psychology
Abstract

Background: Smartphone addiction is considered currently as a public health concern especially among university students., Aim: The study assesses the prevalence of smartphone addiction and its sociodemographic and psychiatric correlates among Egyptian university students., Methods: A random sample of 1,380 undergraduate Egyptian university students from different universities were assessed using the smartphone addiction short scale, Beck depression Inventory, Beck anxiety Inventory, Pittsburgh sleep Quality Index, and Columbia suicide severity scale., Results: About 59% are smartphone addicts without any gender difference, we find a highly significant relation between smartphone addiction and depression, anxiety, sleep disturbance, smoking, and suicide., Conclusion: our study adds to the existing literature regarding the magnitude of smartphone addiction and its relationship with different psychiatric disorders.

Published
2022
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49. Accelerometer-Based Wheel Odometer for Kinematics Determination.

Author

Youssef AA, Al-Subaie N, El-Sheimy N, and Elhabiby M

Abstract

Various high budget industries that utilize wheel-based vehicles rely on wheel odometry as an integral aspect of their navigation process. This research introduces a low-cost alternative for typical wheel encoders that are typically used to determine the on-track speed of vehicles. The proposed system is referred to as an Accelerometer-based Wheel Odometer for Kinematics determination (AWOK). The AWOK system comprises just a single axis accelerometer mounted radially at the center of any given wheel. The AWOK system can provide direct distances instead of just velocities, which are provided by typical wheel speedometers. Hence, the AWOK system is advantageous in comparison to typical wheel odometers. Besides, the AWOK system comprises a simple assembly with a highly efficient data processing algorithm. Additionally, the AWOK system provides a high capacity to handle high dynamics in comparison to similar approaches found in previous related work. Furthermore, the AWOK system is not affected by the inherited stochastic errors in micro-machined electro-mechanical systems (MEMS) inertial sensors, whether short-term or long-term errors. Above all, the AWOK system reported a relative accuracy of 0.15% in determining the distance covered by a car.

Published
2021
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50. Optical and Mass Flow Sensors for Aiding Vehicle Navigation in GNSS Denied Environment.

Author

Moussa M, Zahran S, Mostafa M, Moussa A, El-Sheimy N, and Elhabiby M

Abstract

Nowadays, autonomous vehicles have achieved a lot of research interest regarding the navigation, the surrounding environmental perception, and control. Global Navigation Satellite System/Inertial Navigation System (GNSS/INS) is one of the significant components of any vehicle navigation system. However, GNSS has limitations in some operating scenarios such as urban regions and indoor environments where the GNSS signal suffers from multipath or outage. On the other hand, INS standalone navigation solution degrades over time due to the INS errors. Therefore, a modern vehicle navigation system depends on integration between different sensors to aid INS for mitigating its drift during GNSS signal outage. However, there are some challenges for the aiding sensors related to their high price, high computational costs, and environmental and weather effects. This paper proposes an integrated aiding navigation system for vehicles in an indoor environment (e.g., underground parking). This proposed system is based on optical flow and multiple mass flow sensors integrations to aid the low-cost INS by providing the navigation extended Kalman filter (EKF) with forward velocity and change of heading updates to enhance the vehicle navigation. The optical flow is computed for frames taken using a consumer portable device (CPD) camera mounted in the upward-looking direction to avoid moving objects in front of the camera and to exploit the typical features of the underground parking or tunnels such as ducts and pipes. On the other hand, the multiple mass flow sensors measurements are modeled to provide forward velocity information. Moreover, a mass flow differential odometry is proposed where the vehicle change of heading is estimated from the multiple mass flow sensors measurements. This integrated aiding system can be used for unmanned aerial vehicles (UAV) and land vehicle navigations. However, the experimental results are implemented for land vehicles through the integration of CPD with mass flow sensors to aid the navigation system.

Published
2020
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