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John Snow, the London doctor who studied cholera in the 1840s and 1850s, argued in Snow (1856) that water exerted an "overwhelming influence" on mortality in a region of south London during the 1854 outbreak. In a paper re-assessing Snow's analysis, Koch and Denike (2006) claim that "Snow made not merely minor arithmetic errors but more importantly critical, conceptual mistakes that adversely affected his results." The claim of errors and mistakes is incorrect and due to a misreading or misunderstanding of Snow's data and analysis. Koch and Denike apply an inappropriate statistical test to Snow's original data (and do so incorrectly). More importantly, due to the misreading of the historical record they alter the underlying primary-source data, rendering their results invalid. Analysis of the data following Snow's approach but with modern statistical tools strongly supports Snow's claim for the primacy of water in accounting for variation in cholera mortality. • Review a 2006 critique of John Snow's methodology in his 1856 analysis of south London. • Apply modern statistical techniques to re-examine John Snow's south London analysis. • Conclude that Snow's work did not suffer from the claimed methodological problems. • Support and confirm Snow's conclusion that water had an overwhelming effect on mortality. [ABSTRACT FROM AUTHOR]

Yellow Fever (YF) is a viral arbovirosis of Public Health importance. In Brazil, surveillance is focused mainly on detecting epizootic events of Platyrrhini. Herein, we compared the detection and phylogenetic analysis of YF virus in two neotropical primates (NTP), a Callithrix detected in the previous epidemic period (2016–2020), and a Callicebus nigrifons , showing a new introduction of YF in 2023. This paper illustrates the importance of joint actions of laboratory and field teams to ensure quick response to Public Health emergencies, such as the intensification of vaccination of susceptible human populations. [ABSTRACT FROM AUTHOR]