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Globally, there are over 1 billion people infected with soil-transmitted helminths (STHs), mostly living in marginalized settings with inadequate sanitation in sub-Saharan Africa and Southeast Asia. The World Health Organization recommends an integrated approach to STH morbidity control through improved access to sanitation and hygiene education and the delivery of preventive chemotherapy (PC) to school-age children delivered through schools. Progress of STH control programs is currently estimated using a baseline (pre-PC) school-based prevalence survey and then monitored using periodical school-based prevalence surveys, known as Impact Assessment Surveys (IAS). We investigated whether integrating geostatistical methods with a Markov model or a mechanistic transmission model for projecting prevalence forward in time from baseline can improve IAS design strategies. To do this, we applied these 2 methods to prevalence data collected in Kenya, before evaluating and comparing their performance in accurately informing optimal survey design for a range of IAS sampling designs. We found that, although both approaches performed well, the mechanistic method more accurately projected prevalence over time and provided more accurate information for guiding survey design. Both methods performed less well in areas with persistent STH hotspots where prevalence did not decrease despite multiple rounds of PC. Our findings show that these methods can be useful tools for more efficient and accurate targeting of PC. The general framework built in this paper can also be used for projecting prevalence and informing survey design for other neglected tropical diseases. [ABSTRACT FROM AUTHOR]

The book "Qingdai weisheng fangyi jizhi jiqi jindai yanbian" by Yu Xinzhong explores the public health and epidemic prevention mechanisms in the Qing Dynasty and their evolution in modern China. The revised edition of the book aims to correct errors and omissions from the first edition and includes new papers. The book covers various topics such as the concept of health, the regulation of health, urban water environment, fecal treatment, cleanliness, quarantine systems, and the formation of health and epidemic prevention. The author also discusses the relationship between Chinese people and health, reflecting on the modernization narrative and the need for more reflection on modernity. However, the book has some limitations, including a focus on the late Qing Dynasty, a lack of in-depth discussion on preventive mechanisms, and repetition of historical materials. Overall, the book is a significant contribution to the study of health history and provides interesting insights into historical issues. [Extracted from the article]

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]

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]