Citation: Sudip Bhattacharya, Amarjeet Singh, Md Mahbub Hossain. Retraction notice to “Sudip Bhattacharya. Strengthening public health surveillance through blockchain technology” [AIMS Public Health, 2019, 6(3): 326–333][J]. AIMS Public Health, 2023, 10(1): 16-17. doi: 10.3934/publichealth.2023002
[1] | Sudip Bhattacharya, Amarjeet Singh, Md Mahbub Hossain . Strengthening public health surveillance through blockchain technology. AIMS Public Health, 2019, 6(3): 326-333. doi: 10.3934/publichealth.2019.3.326 |
[2] | Bernard C.K. Choi . What Could Be Future Scenarios?—Lessons from the History of Public Health Surveillance for the Future. AIMS Public Health, 2015, 2(1): 27-43. doi: 10.3934/publichealth.2015.1.27 |
[3] | Jessica Miller Clouser, John C. Flunker, Jennifer E. Swanberg, Gail Betz, Surjeet Baidwan, J. Kathleen Tracy . Occupational exposures and associated risk factors among U.S. casino workers: a narrative review. AIMS Public Health, 2018, 5(4): 378-393. doi: 10.3934/publichealth.2018.4.378 |
[4] | Maria Mercedes Ferreira Caceres, Juan Pablo Sosa, Jannel A Lawrence, Cristina Sestacovschi, Atiyah Tidd-Johnson, Muhammad Haseeb UI Rasool, Vinay Kumar Gadamidi, Saleha Ozair, Krunal Pandav, Claudia Cuevas-Lou, Matthew Parrish, Ivan Rodriguez, Javier Perez Fernandez . The impact of misinformation on the COVID-19 pandemic. AIMS Public Health, 2022, 9(2): 262-277. doi: 10.3934/publichealth.2022018 |
[5] | Abdulqadir J. Nashwan, Rejo G. Mathew, Reni Anil, Nabeel F. Allobaney, Sindhumole Krishnan Nair, Ahmed S. Mohamed, Ahmad A. Abujaber, Abbas Balouchi, Evangelos C. Fradelos . The safety, health, and well-being of healthcare workers during COVID-19: A scoping review. AIMS Public Health, 2023, 10(3): 593-609. doi: 10.3934/publichealth.2023042 |
[6] | Stefano Campostrini, David McQueen, Anne Taylor, Alison Daly . World Alliance for Risk Factor Surveillance White Paper on Surveillance and Health Promotion. AIMS Public Health, 2015, 2(1): 10-26. doi: 10.3934/publichealth.2015.1.10 |
[7] | Theresa A. Nicklas, Carol E. O'Neil . Prevalence of Obesity: A Public Health Problem Poorly Understood. AIMS Public Health, 2014, 1(2): 109-122. doi: 10.3934/publichealth.2014.2.109 |
[8] | Ahmed A Mohsen, Hassan Fadhil AL-Husseiny, Xueyong Zhou, Khalid Hattaf . Global stability of COVID-19 model involving the quarantine strategy and media coverage effects. AIMS Public Health, 2020, 7(3): 587-605. doi: 10.3934/publichealth.2020047 |
[9] | Helena Walz, Barbara Bohn, Jessica Sander, Claudia Eberle, Monika Alisch, Bernhard Oswald, Anja Kroke . Access to Difficult-to-reach Population Subgroups: A Family Midwife Based Home Visiting Service for Implementing Nutrition-related Preventive Activities - A Mixed Methods Explorative Study. AIMS Public Health, 2015, 2(3): 516-536. doi: 10.3934/publichealth.2015.3.516 |
[10] | Lindsay P. Galway, Margot W. Parkes, Diana Allen, Tim K. Takaro . Building Interdisciplinary Research Capacity: a Key Challenge for Ecological Approaches in Public Health. AIMS Public Health, 2016, 3(2): 389-406. doi: 10.3934/publichealth.2016.2.389 |
The journal retracts the paper entitled “Strengthening public health surveillance through blockchain technology” [1]. This article is very similar to Chattu VK, et al. “The emerging role of blockchain technology applications in routine disease surveillance systems to strengthen global health security” [2]. In accordance with our publishing policies, an investigation was conducted that confirmed the overlap. The article [1] is therefore retracted and shall be marked accordingly.
This retraction was approved by the Editor in Chief of the journal AIMS Public Health.
The authors agreed to this retraction.
[1] |
Bhattacharya Sudip, Singh Amarjeet, Hossain Md Mahbub (2019) Strengthening public health surveillance through blockchain technology. AIMS Public Health 6: 326-333. https://doi.org/10.3934/publichealth.2019.3.326 ![]() |
[2] |
Chattu VK, Nanda A, Chattu SK, et al. (2019) The emerging role of blockchain technology applications in routine disease surveillance systems to strengthen global health security. Big Data Cogn Comput 3: 25. https://doi.org/10.3390/bdcc3020025 ![]() |