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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]

effective public health planning and intervention strategies. This study presents a comprehensive analysis of the spatiotemporal distribution of disease incidences in Ethiopia, focusing on six major diseases: Malaria, Meningitis, Cholera and Dysentery, over the period from 2010 to 2022, whereas Dengue Fever and Leishmaniasis from 2018 to 2023. Methods Using data from Ethiopian public health institute: public health emergency management (PHEM), and Ministry of Health, we examined the occurrence and spread of each disease across different regions of Ethiopia. Spatial mapping and time series analysis were employed to identify hotspots, trends, and seasonal variations in disease incidence. Results The findings reveal distinct patterns for each disease, with varying cases and temporal dynamics. Monthly wise, Malaria exhibits a cyclical pattern with a peak during the rainy and humid season, while Dysentery, Meningitis and Cholera displays intermittent incidences. Dysentery cases show a consistent presence throughout the years, while Meningitis remains relatively low in frequency but poses a potential threat due to its severity. Dengue fever predominantly occurs in the eastern parts of Ethiopia. A significant surge in reported incident cases occurred during the years 2010 to 2013, primarily concentrated in the Amhara, Sidama, Oromia, Dire Dawa, and Benishangul-Gumuz regionsConclusions This study helps to a better understanding of disease epidemiology in Ethiopia and can serve as a foundation for evidence-based decision-making in disease prevention and control. By recognizing the patterns and seasonal changes associated with each disease, health authorities can implement proactive measures to mitigate the impact of outbreaks and safeguard public health in the region. [ABSTRACT FROM AUTHOR]

Background: Vibrio cholerae is a water-borne pathogen with a global burden estimate at 1.4 to 4.0 million annual cases. Over 94% of these cases are reported in Africa and more research is needed to understand cholera dynamics in the region. Cholera data are lacking, mainly due to reporting issues, creating barriers for widespread research on cholera epidemiology and management in Africa.Main Body: Here, we present datasets that were created to help address this gap, collating freely available sub-national cholera data for Nigeria and the Democratic Republic of Congo. The data were collated from a variety of English and French publicly available sources, including the World Health Organization, PubMed, UNICEF, EM-DAT, the Nigerian CDC and peer-reviewed literature. These data include information on cases, deaths, age, gender, oral cholera vaccination, risk factors and interventions.Conclusion: These datasets can facilitate qualitative, quantitative and mixed methods research in these two high burden countries to assist in public health planning. The data can be used in collaboration with organisations in the two countries, which have also collected data or undertaking research. By making the data and methods available, we aim to encourage their use and further data collection and compilation to help improve the data gaps for cholera in Africa. [ABSTRACT FROM AUTHOR]