Publications

Kumari, S., Solanki, V. K., Prabhu, L. A. J., & LAZER, A. (2023). Web Defenselessness Recognition Against Case of Cross Site Demand Fake. Advances in Transdisciplinary Engineering. https://doi.org/10.3233/atde221230

Kumari, S., Solanki, V.K., Prabhu, L.A.J. and LAZER, A. (2023) 'Web Defenselessness Recognition Against Case of Cross Site Demand Fake', Advances in Transdisciplinary Engineering. doi: 10.3233/atde221230.

S. Kumari, V. K. Solanki, L. A. J. Prabhu, and A. LAZER, "Web Defenselessness Recognition Against Case of Cross Site Demand Fake," Advances in Transdisciplinary Engineering, 2023. doi: 10.3233/atde221230.

Kumari S, Solanki VK, Prabhu LAJ, LAZER A. Web Defenselessness Recognition Against Case of Cross Site Demand Fake. Advances in Transdisciplinary Engineering. 2023. doi: 10.3233/atde221230.

Kumari, Sujata, et al.. "Web Defenselessness Recognition Against Case of Cross Site Demand Fake." Advances in Transdisciplinary Engineering, 2023. https://doi.org/10.3233/atde221230.

Kumari, S., Solanki, V. K., Prabhu, L. A. J., LAZER, A.. "Web Defenselessness Recognition Against Case of Cross Site Demand Fake." Advances in Transdisciplinary Engineering (2023). https://doi.org/10.3233/atde221230.

@book{kumari2023, title={Web Defenselessness Recognition Against Case of Cross Site Demand Fake}, author={Kumari, Sujata and Solanki, Vijender Kumar and Prabhu, L. Arokia Jesu and LAZER, AROKIA}, journal={Advances in Transdisciplinary Engineering}, year={2023}, doi={10.3233/atde221230}, }

Mary, G. A. A., Sathyasri, B., Murali, K., Prabhu, L. A. J., Devi, N. B., & LAZER, A. (2023). Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks. Neural Computing and Applications. https://doi.org/10.1007/s00521-023-08534-9

Mary, G.A.A., Sathyasri, B., Murali, K., Prabhu, L.A.J., Devi, N.B. and LAZER, A. (2023) 'Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks', Neural Computing and Applications. doi: 10.1007/s00521-023-08534-9.

G. A. A. Mary, B. Sathyasri, K. Murali, L. A. J. Prabhu, N. B. Devi, and A. LAZER, "Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks," Neural Computing and Applications, 2023. doi: 10.1007/s00521-023-08534-9.

Mary GAA, Sathyasri B, Murali K, Prabhu LAJ, Devi NB, LAZER A. Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks. Neural Computing and Applications. 2023. doi: 10.1007/s00521-023-08534-9.

Mary, G. Aloy Anuja, et al.. "Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks." Neural Computing and Applications, 2023. https://doi.org/10.1007/s00521-023-08534-9.

Mary, G. A. A., Sathyasri, B., Murali, K., Prabhu, L. A. J., Devi, N. B., LAZER, A.. "Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks." Neural Computing and Applications (2023). https://doi.org/10.1007/s00521-023-08534-9.

@article{mary2023, title={Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks}, author={Mary, G. Aloy Anuja and Sathyasri, B. and Murali, K. and Prabhu, L. Arokia Jesu and Devi, N. Bharatha and LAZER, AROKIA}, journal={Neural Computing and Applications}, year={2023}, doi={10.1007/s00521-023-08534-9}, }

Joseph, A. S., Lazar, A. J. P., Sharma, D. K., Maria, A. B., Ganesan, N., Sengan, S., & LAZER, A. (2023). ConvNet-Based Deep Brain Stimulation for Attack Patterns. Artificial Intelligence for Smart Healthcare. https://doi.org/10.1007/978-3-031-23602-0_16

Joseph, A.S., Lazar, A.J.P., Sharma, D.K., Maria, A.B., Ganesan, N., Sengan, S. and LAZER, A. (2023) 'ConvNet-Based Deep Brain Stimulation for Attack Patterns', Artificial Intelligence for Smart Healthcare. doi: 10.1007/978-3-031-23602-0_16.

A. S. Joseph, A. J. P. Lazar, D. K. Sharma, A. B. Maria, N. Ganesan, S. Sengan, and A. LAZER, "ConvNet-Based Deep Brain Stimulation for Attack Patterns," Artificial Intelligence for Smart Healthcare, 2023. doi: 10.1007/978-3-031-23602-0_16.

Joseph AS, Lazar AJP, Sharma DK, Maria AB, Ganesan N, Sengan S, et al. ConvNet-Based Deep Brain Stimulation for Attack Patterns. Artificial Intelligence for Smart Healthcare. 2023. doi: 10.1007/978-3-031-23602-0_16.

Joseph, Angel Sajani, et al.. "ConvNet-Based Deep Brain Stimulation for Attack Patterns." Artificial Intelligence for Smart Healthcare, 2023. https://doi.org/10.1007/978-3-031-23602-0_16.

Joseph, A. S., Lazar, A. J. P., Sharma, D. K., Maria, A. B., Ganesan, N., Sengan, S., LAZER, A.. "ConvNet-Based Deep Brain Stimulation for Attack Patterns." Artificial Intelligence for Smart Healthcare (2023). https://doi.org/10.1007/978-3-031-23602-0_16.

@book{joseph2023, title={ConvNet-Based Deep Brain Stimulation for Attack Patterns}, author={Joseph, Angel Sajani and Lazar, Arokia Jesu Prabhu and Sharma, Dilip Kumar and Maria, Anto Bennet and Ganesan, Nivedhitha and Sengan, Sudhakar and LAZER, AROKIA}, journal={Artificial Intelligence for Smart Healthcare}, year={2023}, doi={10.1007/978-3-031-23602-0_16}, }

Lazar, A. J. P., Soundararaj, S., Sonthi, V. K., Palanisamy, V. R., Subramaniyan, V., Sengan, S., & LAZER, A. (2023). Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things. SN Computer Science. https://doi.org/10.1007/s42979-023-01820-2

Lazar, A.J.P., Soundararaj, S., Sonthi, V.K., Palanisamy, V.R., Subramaniyan, V., Sengan, S. and LAZER, A. (2023) 'Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things', SN Computer Science. doi: 10.1007/s42979-023-01820-2.

A. J. P. Lazar, S. Soundararaj, V. K. Sonthi, V. R. Palanisamy, V. Subramaniyan, S. Sengan, and A. LAZER, "Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things," SN Computer Science, 2023. doi: 10.1007/s42979-023-01820-2.

Lazar AJP, Soundararaj S, Sonthi VK, Palanisamy VR, Subramaniyan V, Sengan S, et al. Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things. SN Computer Science. 2023. doi: 10.1007/s42979-023-01820-2.

Lazar, Arokia Jesu Prabhu, et al.. "Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things." SN Computer Science, 2023. https://doi.org/10.1007/s42979-023-01820-2.

Lazar, A. J. P., Soundararaj, S., Sonthi, V. K., Palanisamy, V. R., Subramaniyan, V., Sengan, S., LAZER, A.. "Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things." SN Computer Science (2023). https://doi.org/10.1007/s42979-023-01820-2.

@article{lazar2023, title={Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things}, author={Lazar, Arokia Jesu Prabhu and Soundararaj, Sivaprakash and Sonthi, Vijaya Krishna and Palanisamy, Vishnu Raja and Subramaniyan, Vanithamani and Sengan, Sudhakar and LAZER, AROKIA}, journal={SN Computer Science}, year={2023}, doi={10.1007/s42979-023-01820-2}, }

Thumati, R. R., Prabhu, L. A. J., Solanki, V. K., & LAZER, A. (2023). Cloud Compliance Framework using Python. 2023 International Conference on Disruptive Technologies (ICDT). https://doi.org/10.1109/icdt57929.2023.10150986

Thumati, R.R., Prabhu, L.A.J., Solanki, V.K. and LAZER, A. (2023) 'Cloud Compliance Framework using Python', 2023 International Conference on Disruptive Technologies (ICDT). doi: 10.1109/icdt57929.2023.10150986.

R. R. Thumati, L. A. J. Prabhu, V. K. Solanki, and A. LAZER, "Cloud Compliance Framework using Python," 2023 International Conference on Disruptive Technologies (ICDT), 2023. doi: 10.1109/icdt57929.2023.10150986.

Thumati RR, Prabhu LAJ, Solanki VK, LAZER A. Cloud Compliance Framework using Python. 2023 International Conference on Disruptive Technologies (ICDT). 2023. doi: 10.1109/icdt57929.2023.10150986.

Thumati, Raja Rambabu, et al.. "Cloud Compliance Framework using Python." 2023 International Conference on Disruptive Technologies (ICDT), 2023. https://doi.org/10.1109/icdt57929.2023.10150986.

Thumati, R. R., Prabhu, L. A. J., Solanki, V. K., LAZER, A.. "Cloud Compliance Framework using Python." 2023 International Conference on Disruptive Technologies (ICDT) (2023). https://doi.org/10.1109/icdt57929.2023.10150986.

@inproceedings{thumati2023, title={Cloud Compliance Framework using Python}, author={Thumati, Raja Rambabu and Prabhu, L. Arokia Jesu and Solanki, Vijender Kumar and LAZER, AROKIA}, booktitle={2023 International Conference on Disruptive Technologies (ICDT)}, year={2023}, doi={10.1109/icdt57929.2023.10150986}, }

Alagumuthukrishnan, S., Prabhu, L. A. J., Kumar, C. A., Kumar, A. N., & LAZER, A. (2023). Classification and tokenization algorithm to perceive and thwart injection attack by query in cyber systems. AIP Conference Proceedings. https://doi.org/10.1063/5.0118440

Alagumuthukrishnan, S., Prabhu, L.A.J., Kumar, C.A., Kumar, A.N. and LAZER, A. (2023) 'Classification and tokenization algorithm to perceive and thwart injection attack by query in cyber systems', AIP Conference Proceedings. doi: 10.1063/5.0118440.

S. Alagumuthukrishnan, L. A. J. Prabhu, C. A. Kumar, A. N. Kumar, and A. LAZER, "Classification and tokenization algorithm to perceive and thwart injection attack by query in cyber systems," AIP Conference Proceedings, 2023. doi: 10.1063/5.0118440.

Alagumuthukrishnan S, Prabhu LAJ, Kumar CA, Kumar AN, LAZER A. Classification and tokenization algorithm to perceive and thwart injection attack by query in cyber systems. AIP Conference Proceedings. 2023. doi: 10.1063/5.0118440.

Alagumuthukrishnan, S., et al.. "Classification and tokenization algorithm to perceive and thwart injection attack by query in cyber systems." AIP Conference Proceedings, 2023. https://doi.org/10.1063/5.0118440.

Alagumuthukrishnan, S., Prabhu, L. A. J., Kumar, C. A., Kumar, A. N., LAZER, A.. "Classification and tokenization algorithm to perceive and thwart injection attack by query in cyber systems." AIP Conference Proceedings (2023). https://doi.org/10.1063/5.0118440.

@inproceedings{alagumuthukrishnan2023, title={Classification and tokenization algorithm to perceive and thwart injection attack by query in cyber systems}, author={Alagumuthukrishnan, S. and Prabhu, L. Arokia Jesu and Kumar, C. Ashok and Kumar, A. Nirmal and LAZER, AROKIA}, booktitle={AIP Conference Proceedings}, year={2023}, doi={10.1063/5.0118440}, }

Kumar, A. N., Alagumuthukrishnan, S., Prabhu, L. A. J., Kumar, C. A., & LAZER, A. (2023). A qualitative study on corona disease prediction using chest X-rays through transfer learning. AIP Conference Proceedings. https://doi.org/10.1063/5.0118477

Kumar, A.N., Alagumuthukrishnan, S., Prabhu, L.A.J., Kumar, C.A. and LAZER, A. (2023) 'A qualitative study on corona disease prediction using chest X-rays through transfer learning', AIP Conference Proceedings. doi: 10.1063/5.0118477.

A. N. Kumar, S. Alagumuthukrishnan, L. A. J. Prabhu, C. A. Kumar, and A. LAZER, "A qualitative study on corona disease prediction using chest X-rays through transfer learning," AIP Conference Proceedings, 2023. doi: 10.1063/5.0118477.

Kumar AN, Alagumuthukrishnan S, Prabhu LAJ, Kumar CA, LAZER A. A qualitative study on corona disease prediction using chest X-rays through transfer learning. AIP Conference Proceedings. 2023. doi: 10.1063/5.0118477.

Kumar, A. Nirmal, et al.. "A qualitative study on corona disease prediction using chest X-rays through transfer learning." AIP Conference Proceedings, 2023. https://doi.org/10.1063/5.0118477.

Kumar, A. N., Alagumuthukrishnan, S., Prabhu, L. A. J., Kumar, C. A., LAZER, A.. "A qualitative study on corona disease prediction using chest X-rays through transfer learning." AIP Conference Proceedings (2023). https://doi.org/10.1063/5.0118477.

@inproceedings{kumar2023, title={A qualitative study on corona disease prediction using chest X-rays through transfer learning}, author={Kumar, A. Nirmal and Alagumuthukrishnan, S. and Prabhu, L. Arokia Jesu and Kumar, C. Ashok and LAZER, AROKIA}, booktitle={AIP Conference Proceedings}, year={2023}, doi={10.1063/5.0118477}, }

Elmouki, I. (2023). What has gone around may come back around: reinfection in the extended stochastic multi-region control of infodemics and seasonal coronaviruses. Communications in Mathematical Biology and Neuroscience. https://doi.org/10.28919/cmbn/8254

Elmouki, I. (2023) 'What has gone around may come back around: reinfection in the extended stochastic multi-region control of infodemics and seasonal coronaviruses', Communications in Mathematical Biology and Neuroscience. doi: 10.28919/cmbn/8254.

I. Elmouki, "What has gone around may come back around: reinfection in the extended stochastic multi-region control of infodemics and seasonal coronaviruses," Communications in Mathematical Biology and Neuroscience, 2023. doi: 10.28919/cmbn/8254.

Elmouki I. What has gone around may come back around: reinfection in the extended stochastic multi-region control of infodemics and seasonal coronaviruses. Communications in Mathematical Biology and Neuroscience. 2023. doi: 10.28919/cmbn/8254.

Elmouki, Ilias. "What has gone around may come back around: reinfection in the extended stochastic multi-region control of infodemics and seasonal coronaviruses." Communications in Mathematical Biology and Neuroscience, 2023. https://doi.org/10.28919/cmbn/8254.

Elmouki, I.. "What has gone around may come back around: reinfection in the extended stochastic multi-region control of infodemics and seasonal coronaviruses." Communications in Mathematical Biology and Neuroscience (2023). https://doi.org/10.28919/cmbn/8254.

@article{elmouki2023, title={What has gone around may come back around: reinfection in the extended stochastic multi-region control of infodemics and seasonal coronaviruses}, author={Elmouki, Ilias}, journal={Communications in Mathematical Biology and Neuroscience}, year={2023}, doi={10.28919/cmbn/8254}, }

Elmouki, I., Zhong, L., Jraifi, A., & Darouichi, A. (2023). Optimal Control: Application and Applicability in Times of Pandemics. Integrated Science of Global Epidemics. https://doi.org/10.1007/978-3-031-17778-1_9

Elmouki, I., Zhong, L., Jraifi, A. and Darouichi, A. (2023) 'Optimal Control: Application and Applicability in Times of Pandemics', Integrated Science of Global Epidemics. doi: 10.1007/978-3-031-17778-1_9.

I. Elmouki, L. Zhong, A. Jraifi, and A. Darouichi, "Optimal Control: Application and Applicability in Times of Pandemics," Integrated Science of Global Epidemics, 2023. doi: 10.1007/978-3-031-17778-1_9.

Elmouki I, Zhong L, Jraifi A, Darouichi A. Optimal Control: Application and Applicability in Times of Pandemics. Integrated Science of Global Epidemics. 2023. doi: 10.1007/978-3-031-17778-1_9.

Elmouki, Ilias, et al.. "Optimal Control: Application and Applicability in Times of Pandemics." Integrated Science of Global Epidemics, 2023. https://doi.org/10.1007/978-3-031-17778-1_9.

Elmouki, I., Zhong, L., Jraifi, A., Darouichi, A.. "Optimal Control: Application and Applicability in Times of Pandemics." Integrated Science of Global Epidemics (2023). https://doi.org/10.1007/978-3-031-17778-1_9.

@book{elmouki2023, title={Optimal Control: Application and Applicability in Times of Pandemics}, author={Elmouki, Ilias and Zhong, Ling and Jraifi, Abdelilah and Darouichi, Aziz}, journal={Integrated Science of Global Epidemics}, year={2023}, doi={10.1007/978-3-031-17778-1_9}, }

Rezaei, N., Saghazadeh, A., Jraifi, A., Siani, A., Arredondo, A. M. P., Onoja, A. B., Hamada, A., Darouichi, A., Son, B. W. K., Casais, B., Zhou, B., Paital, B., Cremonini, C., Lucatero, C. R., Liew, C., Bales, C. W., Tartaglia, D., Schmiege, D., Munguía-Izquierdo, D., Anugwom, E. E., Naumova, E. N., Cicuttin, E., Coccolini, F., Samanta, G. P., Young, G., Martínez-Pérez, G. Z., Kadan, G., Kipruto, H., Elmouki, I., Asamani, J. A., Bueno-Antequera, J., Felappi, J. F., Proença, J. F., Stone, J., Gottlieb, J., Ntajal, J., Paris, J. M. G., Nabyonga-Orem, J., Das, K., Starr, K. N. P., Anugwom, K. N., Njabo, K. Y., Patel, K., Zhong, L., Pattanaik, M., Miller, M. G., Chiarugi, M., Hartwick, M. A., Savi, M. K., Yoshikawa, M. J., Sharif, N., Aral, N., Rahyani, N. K. Y., Mitchell, N. S., Simpson, R. B., Yasobant, S., Saha, S., Cuschieri, S., Liang, S., Dey, S. K., Grech, S., Sinha, T., Falkenberg, T., Wiwanitkit, V., & Jiang, X. (2023). Integrated Science of Global Epidemics 2050. Integrated Science of Global Epidemics. https://doi.org/10.1007/978-3-031-17778-1_28

Rezaei, N., Saghazadeh, A., Jraifi, A., Siani, A., Arredondo, A.M.P., Onoja, A.B., Hamada, A., Darouichi, A., Son, B.W.K., Casais, B., Zhou, B., Paital, B., Cremonini, C., Lucatero, C.R., Liew, C., Bales, C.W., Tartaglia, D., Schmiege, D., Munguía-Izquierdo, D., Anugwom, E.E., Naumova, E.N., Cicuttin, E., Coccolini, F., Samanta, G.P., Young, G., Martínez-Pérez, G.Z., Kadan, G., Kipruto, H., Elmouki, I., Asamani, J.A., Bueno-Antequera, J., Felappi, J.F., Proença, J.F., Stone, J., Gottlieb, J., Ntajal, J., Paris, J.M.G., Nabyonga-Orem, J., Das, K., Starr, K.N.P., Anugwom, K.N., Njabo, K.Y., Patel, K., Zhong, L., Pattanaik, M., Miller, M.G., Chiarugi, M., Hartwick, M.A., Savi, M.K., Yoshikawa, M.J., Sharif, N., Aral, N., Rahyani, N.K.Y., Mitchell, N.S., Simpson, R.B., Yasobant, S., Saha, S., Cuschieri, S., Liang, S., Dey, S.K., Grech, S., Sinha, T., Falkenberg, T., Wiwanitkit, V. and Jiang, X. (2023) 'Integrated Science of Global Epidemics 2050', Integrated Science of Global Epidemics. doi: 10.1007/978-3-031-17778-1_28.

N. Rezaei, A. Saghazadeh, A. Jraifi, A. Siani, A. M. P. Arredondo, A. B. Onoja, A. Hamada, A. Darouichi, B. W. K. Son, B. Casais, B. Zhou, B. Paital, C. Cremonini, C. R. Lucatero, C. Liew, C. W. Bales, D. Tartaglia, D. Schmiege, D. Munguía-Izquierdo, E. E. Anugwom, E. N. Naumova, E. Cicuttin, F. Coccolini, G. P. Samanta, G. Young, G. Z. Martínez-Pérez, G. Kadan, H. Kipruto, I. Elmouki, J. A. Asamani, J. Bueno-Antequera, J. F. Felappi, J. F. Proença, J. Stone, J. Gottlieb, J. Ntajal, J. M. G. Paris, J. Nabyonga-Orem, K. Das, K. N. P. Starr, K. N. Anugwom, K. Y. Njabo, K. Patel, L. Zhong, M. Pattanaik, M. G. Miller, M. Chiarugi, M. A. Hartwick, M. K. Savi, M. J. Yoshikawa, N. Sharif, N. Aral, N. K. Y. Rahyani, N. S. Mitchell, R. B. Simpson, S. Yasobant, S. Saha, S. Cuschieri, S. Liang, S. K. Dey, S. Grech, T. Sinha, T. Falkenberg, V. Wiwanitkit, and X. Jiang, "Integrated Science of Global Epidemics 2050," Integrated Science of Global Epidemics, 2023. doi: 10.1007/978-3-031-17778-1_28.

Rezaei N, Saghazadeh A, Jraifi A, Siani A, Arredondo AMP, Onoja AB, et al. Integrated Science of Global Epidemics 2050. Integrated Science of Global Epidemics. 2023. doi: 10.1007/978-3-031-17778-1_28.

Rezaei, Nima, et al.. "Integrated Science of Global Epidemics 2050." Integrated Science of Global Epidemics, 2023. https://doi.org/10.1007/978-3-031-17778-1_28.

Rezaei, N., Saghazadeh, A., Jraifi, A., Siani, A., Arredondo, A. M. P., Onoja, A. B., Hamada, A., Darouichi, A., Son, B. W. K., Casais, B., Zhou, B., Paital, B., Cremonini, C., Lucatero, C. R., Liew, C., Bales, C. W., Tartaglia, D., Schmiege, D., Munguía-Izquierdo, D., Anugwom, E. E., Naumova, E. N., Cicuttin, E., Coccolini, F., Samanta, G. P., Young, G., Martínez-Pérez, G. Z., Kadan, G., Kipruto, H., Elmouki, I., Asamani, J. A., Bueno-Antequera, J., Felappi, J. F., Proença, J. F., Stone, J., Gottlieb, J., Ntajal, J., Paris, J. M. G., Nabyonga-Orem, J., Das, K., Starr, K. N. P., Anugwom, K. N., Njabo, K. Y., Patel, K., Zhong, L., Pattanaik, M., Miller, M. G., Chiarugi, M., Hartwick, M. A., Savi, M. K., Yoshikawa, M. J., Sharif, N., Aral, N., Rahyani, N. K. Y., Mitchell, N. S., Simpson, R. B., Yasobant, S., Saha, S., Cuschieri, S., Liang, S., Dey, S. K., Grech, S., Sinha, T., Falkenberg, T., Wiwanitkit, V., Jiang, X.. "Integrated Science of Global Epidemics 2050." Integrated Science of Global Epidemics (2023). https://doi.org/10.1007/978-3-031-17778-1_28.

@book{rezaei2023, title={Integrated Science of Global Epidemics 2050}, author={Rezaei, Nima and Saghazadeh, Amene and Jraifi, Abdelilah and Siani, Alessandro and Arredondo, Ana Maria Perez and Onoja, Anyebe Bernard and Hamada, Atsuo and Darouichi, Aziz and Son, Barbara W. K. and Casais, Beatriz and Zhou, Bingjie and Paital, Biswaranjan and Cremonini, Camilla and Lucatero, Carlos Rodríguez and Liew, Christina and Bales, Connie W. and Tartaglia, Dario and Schmiege, Dennis and Munguía-Izquierdo, Diego and Anugwom, Edlyne E. and Naumova, Elena N. and Cicuttin, Enrico and Coccolini, Federico and Samanta, G. P. and Young, Gerald and Martínez-Pérez, Guillermo Z. and Kadan, Gül and Kipruto, Hillary and Elmouki, Ilias and Asamani, James Avoka and Bueno-Antequera, Javier and Felappi, Jéssica Francine and Proença, João F. and Stone, John and Gottlieb, Jordyn and Ntajal, Joshua and Paris, Juliana Minetto Gellert and Nabyonga-Orem, Juliet and Das, Kabita and Starr, Kathryn N. Porter and Anugwom, Kenechukwu N. and Njabo, Kevin Y. and Patel, Krupali and Zhong, Ling and Pattanaik, Manaswini and Miller, Marshall G. and Chiarugi, Massimo and Hartwick, Meghan A. and Savi, Merveille Koissi and Yoshikawa, Minako Jen and Sharif, Nadim and Aral, Neriman and Rahyani, Ni Komang Yuni and Mitchell, Nia S. and Simpson, Ryan B. and Yasobant, Sandul and Saha, Sangeeta and Cuschieri, Sarah and Liang, Shiwei and Dey, Shuvra Kanti and Grech, Stephan and Sinha, Tapen and Falkenberg, Timo and Wiwanitkit, Viroj and Jiang, Xu}, journal={Integrated Science of Global Epidemics}, year={2023}, doi={10.1007/978-3-031-17778-1_28}, }