Marco Bonetti
Biographic Data
| ID | 248925 |
|---|---|
| NAME | Marco Bonetti |
| GIVEN NAMES | Marco |
| FAMILY NAME | Bonetti |
| SIGNATURE | BONETTI M |
| AFFILIATIONS | Bocconi University |
| ORCID | 0000-0003-2304-4180 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 15 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality
BACKGROUND: In recent years, lifespan inequality has become an important indicator of population health. Uncovering the statistical properties of lifespan inequality measures can provide novel insights on the study of mortality. METHODS: We introduce the ‘Average Uneven Mortality’ (AUM) index, a novel mortality indicator for the study of mortality patterns and lifespan inequality. We prove some new properties of interest, as well as relationships…
Pandemics and socio-economic status. Evidence from the plague of 1630 in northern Italy
This paper investigates the biological, socio-economic, and institutional factors shaping the individual risk of death during a major pre-industrial epidemic. We use a micro-demographic database for an Italian city (Carmagnola) during the 1630 plague to explore in detail the survival dynamics of the population admitted to the isolation hospital (lazzaretto). We develop a theoretical model of admissions to the lazzaretto, for better interpretation…
Linking excess mortality to mobility data during the first wave of Covid-19 in England and Wales
Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020.…
Epilocal: A real-time tool for local epidemic monitoring
The novel coronavirus (SARS-CoV-2) emerged as a global threat at the beginning of 2020, spreading around the globe at different times and rates. Within a country, such differences provide the opportunity for strategic allocations of health care resources
A survival analysis of the last great European plagues: The case of Nonantola (Northern Italy) in 1630
This paper develops the first survival analysis of a large-scale mortality crisis caused by plague. For the time-to-event analyses we used the Cox proportional hazards regression model. Our case study is the town of Nonantola during the 1630 plague, which was probably the worst to affect Italy since the Black Death. Individual risk of death did not depend on sex, grew with age (peaking at ages 40-60 and then declining), was not affected by socio-…
Parametric and Nonparametric Analysis of Life Courses: An Application to Family Formation Patterns
We discuss a unified approach to the description and explanation of life course patterns represented as sequences of states observed in discrete time. In particular, we study life course data collected as part of the Dutch Fertility and Family Surveys (FFS) to learn about the family formation behavior of 1,897 women born between 1953 and 1962. Retrospective monthly data were available on each 18- to 30-year-old woman living either with or without…
A survival analysis of the last great European plagues: The case of Nonantola (Northern Italy) in 1630
This paper develops the first survival analysis of a large-scale mortality crisis caused by plague. For the time-to-event analyses we used the Cox proportional hazards regression model. Our case study is the town of Nonantola during the 1630 plague, which was probably the worst to affect Italy since the Black Death. Individual risk of death did not depend on sex, grew with age (peaking at ages 40-60 and then declining), was not affected by socio-…
Parametric and Nonparametric Analysis of Life Courses: An Application to Family Formation Patterns
We discuss a unified approach to the description and explanation of life course patterns represented as sequences of states observed in discrete time. In particular, we study life course data collected as part of the Dutch Fertility and Family Surveys (FFS) to learn about the family formation behavior of 1,897 women born between 1953 and 1962. Retrospective monthly data were available on each 18- to 30-year-old woman living either with or without…
The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality
BACKGROUND: In recent years, lifespan inequality has become an important indicator of population health. Uncovering the statistical properties of lifespan inequality measures can provide novel insights on the study of mortality. METHODS: We introduce the ‘Average Uneven Mortality’ (AUM) index, a novel mortality indicator for the study of mortality patterns and lifespan inequality. We prove some new properties of interest, as well as relationships…
Epilocal: A real-time tool for local epidemic monitoring
The novel coronavirus (SARS-CoV-2) emerged as a global threat at the beginning of 2020, spreading around the globe at different times and rates. Within a country, such differences provide the opportunity for strategic allocations of health care resources
Parametric and Nonparametric Analysis of Life Courses: An Application to Family Formation Patterns
We discuss a unified approach to the description and explanation of life course patterns represented as sequences of states observed in discrete time. In particular, we study life course data collected as part of the Dutch Fertility and Family Surveys (FFS) to learn about the family formation behavior of 1,897 women born between 1953 and 1962. Retrospective monthly data were available on each 18- to 30-year-old woman living either with or without…
A survival analysis of the last great European plagues: The case of Nonantola (Northern Italy) in 1630
This paper develops the first survival analysis of a large-scale mortality crisis caused by plague. For the time-to-event analyses we used the Cox proportional hazards regression model. Our case study is the town of Nonantola during the 1630 plague, which was probably the worst to affect Italy since the Black Death. Individual risk of death did not depend on sex, grew with age (peaking at ages 40-60 and then declining), was not affected by socio-…
Linking excess mortality to mobility data during the first wave of Covid-19 in England and Wales
Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020.…
Epilocal: A real-time tool for local epidemic monitoring
The novel coronavirus (SARS-CoV-2) emerged as a global threat at the beginning of 2020, spreading around the globe at different times and rates. Within a country, such differences provide the opportunity for strategic allocations of health care resources
The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality
BACKGROUND: In recent years, lifespan inequality has become an important indicator of population health. Uncovering the statistical properties of lifespan inequality measures can provide novel insights on the study of mortality. METHODS: We introduce the ‘Average Uneven Mortality’ (AUM) index, a novel mortality indicator for the study of mortality patterns and lifespan inequality. We prove some new properties of interest, as well as relationships…
Pandemics and socio-economic status. Evidence from the plague of 1630 in northern Italy
This paper investigates the biological, socio-economic, and institutional factors shaping the individual risk of death during a major pre-industrial epidemic. We use a micro-demographic database for an Italian city (Carmagnola) during the 1630 plague to explore in detail the survival dynamics of the population admitted to the isolation hospital (lazzaretto). We develop a theoretical model of admissions to the lazzaretto, for better interpretation…
Population (5 works) · Demography (4 works) · Geography (4 works) · Medicine (4 works) · Sociology (4 works) · Statistics (4 works) · Computer Science (3 works) · COVID-19 epidemiological studies (3 works) · Mathematics (3 works) · Health disparities and outcomes (2 works)