Sociomedical indicators in the cholera epidemic in Ferrara of 1855

Scapoli, Chiara; Guidi, Enrica; Angelini, Lauretta; Stefanati, Armando; Gregorio, Pasquale

doi:10.1023/a:1024829328204

“…Interestingly, a group of modern researchers recovered historical archives in Ferrara, Italy, which also suffered from another cholera epidemic in 1855 (Scapoli et al, 2002). They analysed the data in these archives using modern statistical methods and found that ‘the better kept houses in the better parts of the town had less cholera morbidity and especially mortality’, supporting a miasma theory.…”

Section: Discussion and Lessons Learnedmentioning

confidence: 99%

Small Data, Big Time—A Retrospect of the First Weeks of COVID-19

Zhao

¹

2022

Journal of the Royal Statistical Society Series A: Statistics in Society

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Knowledge of the current state of economies, how they respond to COVID-19 mitigations and indicators, and what the future might hold for them is important. We use recently developed generalised network autoregressive (GNAR) models, using trade-determined networks, to model and forecast the Purchasing Managers' Indices for a number of countries. We use networks that link countries where the links themselves, or their weights, are determined by the degree of export trade between the countries. We extend these models to include node-specific time series exogenous variables (GNARX models), using this to incorporate COVID-19 mitigation stringency indices and COVID-19 death rates into our analysis. The highly parsimonious GNAR models considerably outperform vector autoregressive models in terms of mean-squared forecasting error and our GNARX models themselves outperform [Read before The Royal Statistical Society at the first meeting on 'Statistical Aspects of the Covid-19 Pandemic' held at the

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“…Interestingly, a group of modern researchers recovered historical archives in Ferrara, Italy, which also suffered from another cholera epidemic in 1855 (Scapoli et al, 2002). They analysed the data in these archives using modern statistical methods and found that 'the better kept houses in the better parts of the town had less cholera morbidity and especially mortality', supporting a miasma theory.…”

Section: Lesson 3: Better Research Appraisal Is In Urgent Needmentioning

confidence: 99%

Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Li

¹

,

Linton

²

,

Ge

³

2022

Journal of the Royal Statistical Society Series A: Statistics in Society

0

View full text Add to dashboard Cite

Knowledge of the current state of economies, how they respond to COVID-19 mitigations and indicators, and what the future might hold for them is important. We use recently developed generalised network autoregressive (GNAR) models, using trade-determined networks, to model and forecast the Purchasing Managers' Indices for a number of countries. We use networks that link countries where the links themselves, or their weights, are determined by the degree of export trade between the countries. We extend these models to include node-specific time series exogenous variables (GNARX models), using this to incorporate COVID-19 mitigation stringency indices and COVID-19 death rates into our analysis. The highly parsimonious GNAR models considerably outperform vector autoregressive models in terms of mean-squared forecasting error and our GNARX models themselves outperform [Read before The Royal Statistical Society at the first meeting on 'Statistical Aspects of the Covid-19 Pandemic' held at the

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“…In Italy, before the unification in 1861, epidemiology developed within the context of public health [ 66 ]. In particular, based on either the miasmatic or the epidemiological-materialistic paradigm of epidemics, scientists developed theories to interpret the cholera outbreaks periodically striking the Italian peninsula [ 67 - 69 ]. These efforts contributed to the identification of the Vibrio cholerae bacillus in Florence by Filippo Pacini in 1854 [ 70 ].…”

Section: Scenario 3: Italianmentioning

confidence: 99%

Does language matter? A case study of epidemiological and public health journals, databases and professional education in French, German and Italian

Baussano

¹

,

Brzoska

²

,

Fedeli

³

et al. 2008

Emerg Themes Epidemiol

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Epidemiology and public health are usually context-specific. Journals published in different languages and countries play a role both as sources of data and as channels through which evidence is incorporated into local public health practice. Databases in these languages facilitate access to relevant journals, and professional education in these languages facilitates the growth of native expertise in epidemiology and public health. However, as English has become the lingua franca of scientific communication in the era of globalisation, many journals published in non-English languages face the difficult dilemma of either switching to English and competing internationally, or sticking to the native tongue and having a restricted circulation among a local readership. This paper discusses the historical development of epidemiology and the current scene of epidemiological and public health journals, databases and professional education in three Western European languages: French, German and Italian, and examines the dynamics and struggles they have today.

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Sociomedical indicators in the cholera epidemic in Ferrara of 1855

Cited by 8 publications

References 2 publications

Small Data, Big Time—A Retrospect of the First Weeks of COVID-19

Small Data, Big Time—A Retrospect of the First Weeks of COVID-19

Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Does language matter? A case study of epidemiological and public health journals, databases and professional education in French, German and Italian

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