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Gómez-Camponovo M, Moreno, J, Idrovo, ÁJ, Páez, M and Achkar, M (2016). Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law. Biomédica 36, pp. 583-92.

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Balashov, VS, Yan, Y and Zhu, X (2020). Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law. Preprint arXiv:2007.14841 [econ.GN]; last accessed March 10, 2021. View Complete Reference Online information Works that this work references Works that reference this work
Balashov, VS, Yan, Y and Zhu, X (2021). Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development. Scientific Reports 11, pp. 22914. DOI:10.1038/s41598-021-02367-z. View Complete Reference Online information Works that this work references Works that reference this work
Carmo, CRS, Caneppele, FdL and Nunes, FC (2021). Analysis of Covid-19 Contamination and Deaths Cases in Brazil According to The Newcomb-Benford Law. Revista Brasileira de Biometria 39(4), pp.522-535. DOI:10.28951/rbb.v39i4.535. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Idrovo, AJ and Manrique-Hernández, EF (2020). Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports. Asia Pacific Journal of Public Health. DOI:10.1177/1010539520927265. View Complete Reference Online information Works that this work references Works that reference this work
Idrovo, AJ, Manrique-Hernández, EF and Niño, JAF (2021). Report From Bolsonaro’s Brazil: The Consequences of Ignoring Science. International Journal of Health Services 51(1), pp. 31-36. DOI:10.1177/0020731420968446. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kennedy, AP and Yam, SCP (2020). On the authenticity of COVID-19 case figures. PLoS ONE 15(12): e0243123. DOI:10.1371/journal.pone.0243123. View Complete Reference Online information Works that this work references Works that reference this work
Koesters, N, McMenemy, A and Bélanger, Y (2020). Simulating Epidemics with a SIRD Model and Testing with Benford’s Law. Preprint. View Complete Reference Online information Works that this work references Works that reference this work
Malvar, S and Meneghini, JR (2022). Machine learning approaches for localized lockdown during COVID-19: a case study analysis. Preprint arXiv:2201.00715 [cs.LG]; last accessed January 9, 2022. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Manrique-Hernández, EF, Fernández-Niño, JA and Idrovo, AJ (2017). Global performance of epidemiologic surveillance of Zika virus: rapid assessment of an ongoing epidemic. Public Health 143, pp. 14-16. DOI:10.1016/j.puhe.2016.10.023 . View Complete Reference Online information Works that this work references Works that reference this work
Moreno-Montoya, J (2020). Benford ́s Law with small sample sizes: A new exact test useful in health sciences during epidemics. Revista de la Universidad Industrial de Santander. Salud UIS vol. 52(2), pp. 161-163. View Complete Reference Online information Works that this work references Works that reference this work
Morillas-Jurado, FG, Caballer-Tarazona, M and Caballer-Tarazona, V (2022). Applying Benford’s Law to Monitor Death Registration Data: A Management Tool for the COVID-19 Pandemic. Mathematics 10(1), 46. DOI:10.3390/math10010046. View Complete Reference Online information Works that this work references Works that reference this work
Pröger, L, Griesberger, P, Hackländer, K, Brunner, N and Kühleitner, M (2021). Benford’s Law for Telemetry Data of Wildlife. Stats 4(4), pp. 943–949. DOI:10.3390/ stats4040055. View Complete Reference Online information Works that this work references No Bibliography works reference this work