Adcock, R., & Collier, D. (2001). Measurement validity: A shared standard for qualitative and quantitative research. American Political Science Review, 95(3), 529–546.Google Scholar

Adiguzel, F. S., Cansunar, A., & Corekcioglu, G. (2020). Truth or dare? Detecting systematic manipulation of COVID-19 statistics. Journal of Political Institutions and Political Economy, 1(4), 543–557.CrossRefGoogle Scholar

Adolph, C., Amano, K., Bang-Jensen, B., Fullman, N., & Wilkerson, J. (2021). Pandemic politics: Timing state-level social distancing responses to COVID-19. Journal of Health Politics, Policy and Law, 46(2), 211–233.Google Scholar

Ahmed, S. K. S. A., Ajisola, M., Azeem, K., Bakibinga, P., Chen, Y-F., Choudhury, N. N. et al. (2020). Impact of the societal response to COVID-19 on access to healthcare for non-COVID-19 health issues in slum communities of Bangladesh, Kenya, Nigeria and Pakistan: Results of pre-COVID and COVID-19 lockdown stakeholder engagements. BMJ Global Health, 5(8), e003042. DOI: 10.1136/bmjgh-2020-003042.CrossRefGoogle ScholarPubMed

Allison, P. D. (2009). Fixed effects regression models. London: SAGE.CrossRefGoogle Scholar

Andersson, C., & Kazemian, L. (2018). Reliability and validity of cross-national homicide data: A comparison of UN and WHO data. International Journal of Comparative and Applied Criminal Justice, 42(4), 287–302.Google Scholar

Badal-Valero, E., Alvarez-Jareño, J. A., & Pavía, J. M. (2018). Combining Benford’s law and machine learning to detect money laundering: An actual Spanish court case. Forensic Science International, 282, 24–34.CrossRefGoogle ScholarPubMed

Baglivo, J., Olivier, D., & Pagano, M. (1992). Methods for exact goodness-of-fit tests. Journal of the American Statistical Association, 87, 464–469.Google Scholar

Bandalos, D. L. (2018). Measurement theory and applications for the social sciences. New York: Guilford Press.Google Scholar

Beber, B., & Scacco, A. (2012). What the numbers say: A digit-based test for election fraud. Political Analysis, 20(2): 211–234.Google Scholar

Beiglou, P. H. B., Gibbs, C., Rivers, L., Adhikari, U., & Mitchell, J. (2017). Applicability of Benford’s law to compliance assessment of self-reported wastewater treatment plant discharge data. Journal of Environmental Assessment Policy and Management, 19(4). DOI: 10.1142/S146433321750017X.CrossRefGoogle Scholar

Belhabib, D., Da Silva, D. H., Allison, E. H., Zeller, D., & Pauly, D. (2016). Filling a blank on the map: 60 years of fisheries in Equatorial Guinea. Fisheries Management and Ecosystems 23(2), 119–132.CrossRefGoogle Scholar

Benford, F. (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, 78, 551–572.Google Scholar

Berry, K. J., Johnston, J. E., & Mielke, P. W. (2018). The measurement of association. Cham, CH: Springer.Google Scholar

Berry, K. J., & Mielke, P. W. (1997). Measuring the joint agreement between multiple raters and a standard. Educational and Psychological Measurement, 57, 527–530.Google Scholar

Berry, K. J., Mielke, P. W., & Johnston, J. E. (2016). Permutation statistical methods: An integrated approach. Cham, CH: Springer.Google Scholar

Bickel, P. J., Hammel, E. A., & O’Connell, J. W. (1975). Sex bias in graduate admissions: Data from Berkeley. Science, New Series, 187(4175), 398–404.Google Scholar

Biswas, R. K., Afiaz, A., & Huq, S. (2020). Underreporting COVID-19: The curious case of the Indian subcontinent. Epidemiology & Infection, 148. DOI: 10.1017/S0950268820002095.Google Scholar

Blicher, B., Joshipura, K., & Eke, P. (2005). Validation of self-reported periodontal disease: A systematic review. Journal of Dental Research, 84(10), 881–890.Google Scholar

Box, G. E. P., & Andersen, S. L. (1955). Permutation theory in the derivation of robust criteria and the study of departures from assumption. Journal of the Royal Statistical Society, Series B, 17, 1–34.Google Scholar

Breunig, C., & Goerres, A. (2011). Searching for electoral irregularities in an established democracy: Applying Benford’s law tests to Bundestag elections in Unified Germany. Electoral Studies, 30(3), 534–545.CrossRefGoogle Scholar

Brown, R. J. C. (2005). Benford’s law and the screening of analytical data: The case of pollutant concentrations in ambient air. Analyst, 130(9), 1280–1285.CrossRefGoogle ScholarPubMed

Burke, J., & Kincanon, E. (1991). Benford’s Law and physical constants: The distribution of initial digits. American Journal of Physics, 59, 952.CrossRefGoogle Scholar

Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment. Thousand Oaks, CA: SAGE.Google Scholar

Centers for Disease Control and Prevention, US. (2021). Interim clinical guidance for management of patients with confirmed coronavirus disease (COVID-19). https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html.Google Scholar

Cerqueti, R., & Lupi, C. (2021). Some new tests of conformity with Benford’s law. Stats, 4, 745–761.CrossRefGoogle Scholar

Chan, L. L., & Idris, N. (2017). Validity and reliability of the instrument using exploratory factor analysis and Cronbach’s alpha. International Journal of Academic Research in Business and Social Sciences, 7(10), 400–410.Google Scholar

Clausen, R., & Clark, B. (2005). The metabolic rift and marine ecology: An analysis of the ocean crisis within capitalist production. Organization & Environment, 18(4), 422–444.Google Scholar

Clausen, R., & York, R. (2008). Global biodiversity decline of marine and freshwater fish: A cross-national analysis of economic, demographic, and ecological influences. Social Science Research, 37(4), 1310–1320.CrossRefGoogle Scholar

Cohen, J. (1960). A coefficient of agreement for nominal scales, Educational and Psychological Measurement, 20(1), 37–46.Google Scholar

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.Google Scholar

Cohen, J. (1990). Things I have learned (so far). American Psychologist, 45, 1304–1312.Google Scholar

Cohen, J. (1994). The earth is round (p < .05). American Psychologist, 49, 997–1003.CrossRefGoogle Scholar

Cole, M. A., Maddison, D. J., & Zhang, L. (2020). Testing the emission reduction claims of CDM projects using the Benford’s law. Climatic Change, 160(3), 407–426.Google Scholar

Coracioni, A-T. (2020). Testing of published information on greenhouse gas emissions: Conformity analysis with the Benford’s law method. Audit Financier, 18(4), 821–830.CrossRefGoogle Scholar

Cowles, M. (2001). Statistics in psychology: An historical perspective (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.Google Scholar

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.Google Scholar

Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281–302.Google Scholar

de Marchi, S., & Hamilton, J. T. (2006). Assessing the accuracy of self-reported data: An evaluation of the toxics release inventory. Journal of Risk and Uncertainty, 32(1), 57–76.Google Scholar

de Vries, P., & Murk, A. J. (2013). Compliance of LC50 and NOEC data with Benford’s law: An indication of reliability? Ecotoxicology and Environmental Safety, 98, 171–178.Google Scholar

Deckert, J., Myagkov, M., & Ordeshook, P.C. (2011). Benford’s law and the detection of election fraud. Political Analysis, 19(3), 245–268.Google Scholar

Diekmann, A. (2007). Not the first digit! Using Benford’s law to detect fraudulent scientific data. Journal of Applied Statistics, 34(3), 326–329.Google Scholar

Drake, P. D., & Nigrini, M. J. (2000). Computer assisted analytical procedures using Benford’s Law. Journal of Accounting Education, 18, 127–146.Google Scholar

Dubrow, J. K. (2021). Local data and upstream reporting as sources of error in the administrative data undercount of Covid 19. International Journal of Social Research Methodology. DOI: 10.1080/13645579.2021.1909337.Google Scholar

Dunlap, R. E., Van Liere, K. D., Mertig, A. G., & Jones, R. E. (2000). New trends in measuring environmental attitudes: Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of Social Issues 56(3), 425–442.Google Scholar

Fazekas, M., & Kocsis, G. (2020). Uncovering high-level corruption: Cross-national objective corruption risk indicators using public procurement data. British Journal of Political Science, 50(1), 155–164.CrossRefGoogle Scholar

Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2011). Applied longitudinal analysis (2nd ed.). Hoboken, NJ: John Wiley & Sons.CrossRefGoogle Scholar

Flint, A. J., Bingham, K. S., & Iaboni, A. (2020). Effect of COVID-19 on the mental health care of older people in Canada. International Psychogeriatrics, 32(10), 1113–1116.CrossRefGoogle ScholarPubMed

French, C. C. (2020). Covid-19 business interruption insurance losses: The cases for and against coverage. Connecticut Insurance Law Journal, 27, 1–33.Google Scholar

Frunza, M. (2015). Solving modern crime in financial markets: Analytics and case studies. Cambridge, MA, Academic Press.Google Scholar

Gandi, M., & Noble, J. (2022). We need to rethink COVID-19 restrictions. Time, January 31–February 7, 2022, pp. 26–27.Google Scholar

Garg, M., Garrison, L., Leeman, L., Hamidovic, A., Borrego, M., Rayburn, W. F., & Bakhireva, L. (2016). Validity of self-reported drug use information among pregnant women. Maternal and Child Health Journal, 20(1), 41–47.CrossRefGoogle ScholarPubMed

Geary, R. C. (1927). Testing for normality. Biometrika, 34, 209–242.Google Scholar

Goodman, W. (2016). The promises and pitfalls of Benford’s law. Significance, 13(3), 38–41.CrossRefGoogle Scholar

Goodwin, L. D. (1999). The role of factor analysis in the estimation of construct validity. Measurement in Physical Education and Exercise Science, 3(2), 85–100.CrossRefGoogle Scholar

Gorber, S. C., Schofield-Hurwitz, S., Hardt, J., Levasseur, G., & Tremblay, M. (2009). The accuracy of self-reported smoking: A systematic review of the relationship between self-reported and cotinine-assessed smoking status. Nicotine & Tobacco Research, 11(1), 12–24.CrossRefGoogle Scholar

Gullberg, J. (1997). Mathematics: From the birth of numbers. New York: W. W. Norton.Google Scholar

Hardy, G. H., & Ramanujan, S. (1918). Asymptotic formulæ in combinatory analysis. Proceedings of the London Mathematical Society, 17, 75–115.Google Scholar

Hays, W. L. (1988). Statistics. New York: Holt, Rinehart & Winston.Google Scholar

Hickman, M. J., & Rice, S. K. (2010). Digital analysis of crime statistics: Does crime conform to Benford’s law? Journal of Quantitative Criminology, 26(3), 333–349.Google Scholar

Jamain, A. (2001). Benford’s law. Master’s thesis, Imperial College, London.Google Scholar

Johnston, J. E., Berry, K. J., & Mielke, P. W. (2006). Measures of effect size for chi-squared and likelihood-ratio goodness-of-fit tests. Perceptual and Motor Skills, 103, 412–414.Google Scholar

Johnston, J. E., Berry, K. J., & Mielke, P. W. (2007). Permutation tests: Precision in estimating probability values. Perceptual and Motor Skills, 105, 915–920.Google Scholar

Judge, G., & Schechter, L. (2009). Detecting problems in survey data using Benford’s law. Journal of Human Resources, 44(1), 1–24.Google Scholar

Kadane, J. (2011). Principles of uncertainty. Boca Raton, FL: Chapman & Hall/CRC.Google Scholar

Khullar, D. (2022). Omicron by the numbers. New Yorker, January 24, 2022, pp. 11–12.Google Scholar

Kim, H., Apio, C., Ko, Y., Han, K., Goo, Y., Heo, G. et al. (2021). Which national factors are most influential in the spread of COVID-19? International Journal of Environmental Research and Public Health, 18(14), 7592.CrossRefGoogle ScholarPubMed

Kline, P. An easy guide to factor analysis. London: Routledge, 2014.Google Scholar

Koch, C., & Okamura, K. (2020). Benford’s law and COVID-19 reporting. Economics Letters, 196. DOI: 10.1016/j.econlet.2020.109573.Google Scholar

Kokkevi, A., Rotsika, V., Arapaki, A., & Richardson, C. (2012). Adolescents’ self‐reported suicide attempts, self‐harm thoughts and their correlates across 17 European countries. Journal of Child Psychology and Psychiatry, 53(4), 381–389.CrossRefGoogle ScholarPubMed

Konar, S., & Cohen, M. A. (1997). Information as regulation: The effect of community right-to-know laws on toxic emissions. Journal of Environmental Economics and Management, 32, 109–124.Google Scholar

Kossovsky, A. E. (2021). On the mistaken use of the chi-square test in Benford’s Law. Stats, 4, 419–453 (DOI: 10.3390/stats4020027.Google Scholar

Kuiper, N. H. (1960). Tests concerning random points on a circle. Proceedings of the Koninklijke Nederlandse Akademie van Wetenschappen, Series A, 63, 38–47.Google Scholar

Kuncel, N. R., Credé, M., & Thomas, L. L. (2005). The validity of self-reported grade point averages, class ranks, and test scores: A meta-analysis and review of the literature. Review of Educational Research, 75(1), 63–82.Google Scholar

Lau, H., Khosrawipour, T., Kocbach, P., Ichii, H., Bania, J., & Khosrawipour, V. (2021). Evaluating the massive underreporting and undertesting of COVID-19 cases in multiple global epicenters. Pulmonology, 27(2), 110–115.CrossRefGoogle ScholarPubMed

Loevinger, J. (1957). Objective tests as instruments of psychological theory. Psychological Reports, 3, 635–694.Google Scholar

Logan, J. L., & Goudsmit, S. A. (1978). The first digit phenomenon. Proceedings of the American Philosophical Society, 122, 193–197.Google Scholar

Long, M. A., Stretesky, P. B., & Barrett, K. L. (2019). Longitudinal methods for analyzing green crime. In Lynch, M. J. & Pires, S. F. (Eds.), Quantitative studies in green and conservation criminology: The measurement of environmental harm and crime (pp. 198–217). Milton Park: Routledge.Google Scholar

Lynch, M. J. (2007). Big prisons, big dreams: Crime and the failure of the US prison system. New Brunswick, NJ: Rutgers University Press.Google Scholar

Lynch, M. J., Stretesky, P. B., & Long, M. A. (2015). Defining crime: A critique of the concept and its implications. New York: Palgrave Macmillan.Google Scholar

Macedo, A., Gonçalves, N., & Febra, C. (2021). COVID-19 fatality rates in hospitalized patients: Systematic review and meta-analysis. Annals of Epidemiology, 57, 14–21.Google Scholar

Marx, K. (1844 [1959]). The economic and philosophic manuscripts of 1844. Moscow: Progress Publishers.Google Scholar

Marx, K., & Engels, F. (1845 [1968]). A critique of the German ideology. Moscow: Progress Publishers.Google Scholar

Mathieu, E., Ritchie, H., Rodés-Guirao, L., Appel, C., Gavrilow, D. et al. (2022). Coronavirus pandemic (COVID-19). Published online at OurWorldInData.org and retrieved from https://ourworldindata.org/coronavirus.Google Scholar

Matthews, R. (2016). Beautiful, but dangerous. Significance, 13, 30–31.Google Scholar

Maxim, P. S. (1999). Quantitative research methods in the social sciences. New York: Oxford University Press.Google Scholar

Mayo, D. G. (2018). Statistical inference as severe testing. Cambridge: Cambridge University Press.Google Scholar

Meehl, P. E. (1967). Theory testing in psychology and physics: A methodological paradox. Philosophy of Science, 34, 103–115.Google Scholar

Merem, E. C., Twumasi, Y., Wesley, J., Alsarari, M., Fageir, S., Crisler, M. et al. (2019). Analyzing the tragedy of illegal fishing on the West African coastal region. International Journal of Food Science and Nutrition Engineering, 9(1), 1–15.Google Scholar

Merton, R. K. (1968). The Matthew effect in science. Science, 159, 56–63.Google Scholar

Messick, S. (1989). Validity. In Linn, R. L. (Ed.), Educational measurement (3rd ed., pp. 13–103). Washington, DC: American Council on Education.Google Scholar

Micceri, T. (1989). The unicorn, the normal curve, and other improbable creatures. Psychological Bulletin, 105, 156–166.CrossRefGoogle Scholar

Mielke, P. W., & Berry, K. J. (1993). Exact goodness-of-fit probability tests for analyzing categorical data. Educational and Psychological Measurement, 53, 707–710.Google Scholar

Mielke, P. W., Berry, K. J., & Johnson, E. S. (1976). Multi-response permutation procedures for a priori classifications. Communications in Statistics: Theory and Methods, A5, 1409–1424.CrossRefGoogle Scholar

Mir, T. (2012). The law of leading digits and the world religions. Physica A: Statistical Mechanics and Its Applications, 391, 792–798.Google Scholar

Mir, T. (2014). The Benford law behavior of religious activity data. Physica A: Statistical Mechanics and Its Applications, 408, 1–9.Google Scholar

Newcomb, S. (1881). Note on the frequency of use of the different digits in natural numbers. American Journal of Mathematics, 4(1), 39–40.Google Scholar

Nguyen, H., & Loughran, T. A. (2017). On the reliability and validity of self‐reported illegal earnings: Implications for the study of criminal achievement. Criminology, 55(3), 575–602.Google Scholar

Nigrini, M. J. (1996). A taxpayer compliance application of Benford’s law. Journal of the American Taxpayer Association, 18, 72–91.Google Scholar

Nigrini, M. J. (2012). Benford’s law: Applications for forensic accounting, auditing, and fraud detection. Hoboken, NJ: John Wiley & Sons.Google Scholar

OECD-FAO. (2020). Agricultural outlook, 2019–2028. Paris: OECD Publishing. https://www.oecd-ilibrary.org/agriculture-and-food/oecd-fao-agricultural-outlook-2019-2028_agr_outlook-2019-en.Google Scholar

Okereke, M., Ukor, N. A., Adebisi, Y. A., Ogunkola, I. O., Iyagbaye, E. F., Owhor, G. A. et al. (2021). Impact of COVID‐19 on access to healthcare in low‐and middle‐income countries: Current evidence and future recommendations. International Journal of Health Planning and Management, 36(1), 13–17.Google Scholar

Oran, D. P., & Topol, E. J. (2021). The proportion of SARS-CoV-2 infections that are asymptomatic: A systematic review. Annals of Internal Medicine, 174(5), M20–6976.Google Scholar

Pearce, A., Haas, M., Viney, R., Pearson, S.-A., Haywood, P., Brown, C., & Ward, R. (2017). Incidence and severity of self-reported chemotherapy side effects in routine care: A prospective cohort study. PLoS ONE, 12(10), e0184360.Google Scholar

Pearson, K., Lee, A., & Bramley-Moore, L. (1899). Genetic (reproductive) selection: Inheritance of fertility in man, and of fecundity in thoroughbred racehorses. Philosophical Transactions of the Royal Society A, 192, 257–330.Google Scholar

Petrossian, G. A. (2018). A micro-spatial analysis of opportunities for IUU fishing in 23 Western African countries. Biological Conservation, 225, 31–41.Google Scholar

Petrossian, G. A., & Clarke, R. V. (2020). Disaggregating illegal fishing losses for the 22 countries of the West African Coast. Maritime Studies, 19(4), 445–455.Google Scholar

Pinkham, R. S. (1961). On the distribution of first significant digits. The Annals of Mathematical Statistics, 32, 1223–1230.CrossRefGoogle Scholar

Rabe-Hesketh, S., & Skrondal, A. (2012). Multilevel and longitudinal modeling using Stata, vol. 1: Continuous responses (3rd ed.). College Station, TX: Stata Press.Google Scholar

Roberson, L. A., Watson, R. A., & Klein, C. J. (2020). Over 90 endangered fish and invertebrates are caught in industrial fisheries. Nature Communications, 11(1), 1–8.Google Scholar

Robinson, W. S. (1957). The statistical measurement of agreement. American Sociological Review, 22(1), 17–24.Google Scholar

Robinson, W. S. (1959). The geometric measurement of agreement. American Sociological Review, 24(3), 338–345.Google Scholar

Rousseau, Y., Watson, R. A., Blanchard, J. L., & Fulton, E. A. (2019). Defining global artisanal fisheries. Marine Policy, 108, 103634.Google Scholar

Sah, P., Fitzpatrick, M. C., Zimmer, C. F., Abdollahi, E., Juden-Kelly, L., Moghadas, S. M. et al. (2021). Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis. Proceedings of the National Academy of Sciences, 118(34), e2109229118.Google Scholar

Sambridge, M., Tkalčić, H., & Jackson, A. (2010). Benford’s law in the natural sciences. Geophysical Research Letters, 37, 1–5.CrossRefGoogle Scholar

Sandron, F. (2002). Do populations conform to the law of anomalous numbers? Population, 57, 755–761.Google Scholar

Schar, D., Klein, E. Y., Laxminarayan, R., Gilbert, M., & Van Boeckel, T.P. (2020). Global trends in antimicrobial use in aquaculture. Scientific Reports, 10(1), 1–9.Google Scholar

Scovill, D. (2013). What’s really going on with crime rates: Crime stats are used to judge the effectiveness of law enforcement agencies, but hardly anyone is questioning their validity or accuracy. Police Magazine, October 9.Google Scholar

Seidman, D., & Couzens, M. (1974). Getting the crime rate down: Political pressure and crime reporting. Law & Society Review, 8(3), 457–493.Google Scholar

Sherry, B., Jefferds, M. E., & Grummer-Strawn, L. M. (2007). Accuracy of adolescent self-report of height and weight in assessing overweight status: A literature review. Archives of Pediatrics & Adolescent Medicine, 161(12), 1154–1161.Google Scholar

Shewade, H. D., Parameswaran, G. G., Mazumder, A., & Gupta, M. (2021). Adjusting reported COVID-19 deaths for the prevailing routine death surveillance in India. Frontiers in Public Health, 9, 641991.Google Scholar

Silva, L., & Filho, D. F. (2021). Using Benford’s law to assess the quality of COVID-19 register data in Brazil. Journal of Public Health, 43(1), 107–110.Google Scholar

Simpson, E. H. (1951). The interpretation of interaction in contingency tables. Journal of the Royal Statistical Society: Series B (Methodological), 13(2), 238–241.Google Scholar

Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford: Oxford University Press.Google Scholar

Stigler, S. M. (1980). Stigler’s law of eponymy. Transactions of the New York Academy of Sciences, 39, 147–158.Google Scholar

Tam Cho, W. K., & Gaines, B. J. (2007). Breaking the (Benford) law: Statistical fraud detection in campaign finance. American Statistician, 61(3), 218–223.Google Scholar

United Nations Food and Agricultural Organization. (2020). The State of the World’s Fisheries and Aquaculture, Sustainability in Action. Rome: UNFAO. http://www.fao.org/3/ca9229en/ca9229en.pdf.Google Scholar

Urbina, I. (2021). The smell of money. New Yorker, March 8, 2021, pp. 25–29.Google Scholar

Watson, R. A., Pang, L., & Pauly, D. (2001). The marine fisheries of China: Development and reported catches. University of British Columbia, Open Collection.Google Scholar

Watson, R. A., & Tidd, A. (2018). Mapping nearly a century and a half of global marine fishing: 1869–2015. Marine Policy, 93, 171–177.Google Scholar

Wen, M., & Kowaleski-Jones, L. (2012). Sex and ethnic differences in validity of self-reported adult height, weight and body mass index. Ethnicity & Disease, 22(1), 72.Google Scholar

World Bank. (2017). Life below water. World Bank. https://datatopics.worldbank.org/sdgatlas/archive/2017/SDG-14-life-below-water.html.Google Scholar

Yule, G. U. (1903). Notes on the theory of association of attributes in statistics. Biometrika, 2(2), 121–134.Google Scholar

Zahran, S., Iverson, T., Weiler, S., & Underwood, A. (2014). Evidence that the accuracy of self-reported lead emissions data improved: A puzzle and discussion. Journal of Risk Uncertainty, 49, 235–257.Google Scholar

Zanichelli, V., Tebano, G., Gyssens, I. C., Vlahović-Palčevski, V., Monnier, A. A., Stanić Benić, M., Harbarth, S. Hulscher, M., Pulcini, C., & Huttner, B. D. (2019). Patient-related determinants of antibiotic use: A systematic review. Clinical Microbiology and Infection, 25(1), 48–53.CrossRefGoogle ScholarPubMed

Zeller, D., & Pauly, D. (2016). Catch reconstruction: Concepts, methods, and data sources. Available at http://www.seaaroundus.org/catch-reconstruction-and-allocation-methods.Google Scholar