Sara Geremia
Biographic Data
| ID | 5189845 |
|---|---|
| NAME | Sara Geremia |
| GIVEN NAMES | Sara |
| FAMILY NAME | Geremia |
| SIGNATURE | GEREMIA S |
| AFFILIATIONS | University of Trieste |
| ORCID | 0000-0001-7780-040X |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Spectral clustering of Berlin’s housing spatial network to capture locational effects on pricing
This study develops a hedonic pricing model to improve the estimation of locational effects by leveraging clustering algorithms. Specifically, we examine and compare the predictive accuracy of four models: a baseline specification without locational effects, a standard model with traditional administrative boundaries, one using constrained K means clustering, and another employing a constrained spectral clustering. Focusing on Berlin’s housing ma…
Facility newborn and stillbirth data use and enabling factors at different levels of the health system
Background: Improving data quality and use is a priority identified by the World Health Organization (WHO) to reduce stillbirths and newborn deaths; however, few studies have documented newborn and stillbirth data use in the African Region. To address this gap, we conducted a cross-sectional study from November 2022 to July 2024 in 12 regions and four city administrations across the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. …
Users’ capabilities related to the electronic RHIS for newborn and stillbirth indicators
Background: The electronic routine health information system (eRHIS) is crucial for policy and planning. However, its effectiveness depends on end-users' capabilities in utilising it. Using a mixed-methods approach, we evaluated end-users' data in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda in one of the first standardised cross-country assessment of eRHIS users' capabilities focussed on newborn and stillbirth indicators. M…
Functionalities of electronic routine health information systems related to newborn data
Background: Adequate functionality of electronic routine health information systems (eRHISs) is crucial for data use, yet few studies explored it in relation to newborn and stillbirth data in Africa. Methods: We conducted this cross-sectional study between November 2022 and July 2024 in data offices at central and subnational levels in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. Exc…
Organisational and management factors and related end-users’ perspectives relevant to newborn and stillbirth data at different levels of the health system
Background: As few studies systematically analysed organisational and management factors related to newborn and stillbirth data quality, we sought to identify specific gaps in these factors to provide evidence for planning tailored actions. Methods: We performed a cross-sectional survey in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda between November 2022 and July 2024, collecting dat…
Availability and the quality of key newborn data within routine health facility data
Background: With declining funding for population-based household surveys, routine health facility data offer a promising alternative for tracking newborn health and service quality. However, their utility depends on data quality. We assessed the quality of ten data elements within routine health information systems in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda, seven of which align with the Every Newborn Action Plan core …
Women’s suggestions on how to improve the quality of maternal and newborn care during the Covid-19 pandemic in Italy
Background: Recent evidence revealed significant gaps in the quality of maternal and newborn care in the World Health Organization (WHO) European Region (EUR) countries. Collecting and analyzing women's views on their needs and priorities is crucial for developing actions to improve the quality of maternal and newborn care. With this study from the IMAgiNE EURO Project, we aimed to add to previous quantitative studies by analysing emerging themes…
No prominent works on this page.
Women’s suggestions on how to improve the quality of maternal and newborn care during the Covid-19 pandemic in Italy
Background: Recent evidence revealed significant gaps in the quality of maternal and newborn care in the World Health Organization (WHO) European Region (EUR) countries. Collecting and analyzing women's views on their needs and priorities is crucial for developing actions to improve the quality of maternal and newborn care. With this study from the IMAgiNE EURO Project, we aimed to add to previous quantitative studies by analysing emerging themes…
Facility newborn and stillbirth data use and enabling factors at different levels of the health system
Background: Improving data quality and use is a priority identified by the World Health Organization (WHO) to reduce stillbirths and newborn deaths; however, few studies have documented newborn and stillbirth data use in the African Region. To address this gap, we conducted a cross-sectional study from November 2022 to July 2024 in 12 regions and four city administrations across the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. …
Users’ capabilities related to the electronic RHIS for newborn and stillbirth indicators
Background: The electronic routine health information system (eRHIS) is crucial for policy and planning. However, its effectiveness depends on end-users' capabilities in utilising it. Using a mixed-methods approach, we evaluated end-users' data in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda in one of the first standardised cross-country assessment of eRHIS users' capabilities focussed on newborn and stillbirth indicators. M…
Functionalities of electronic routine health information systems related to newborn data
Background: Adequate functionality of electronic routine health information systems (eRHISs) is crucial for data use, yet few studies explored it in relation to newborn and stillbirth data in Africa. Methods: We conducted this cross-sectional study between November 2022 and July 2024 in data offices at central and subnational levels in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. Exc…
Organisational and management factors and related end-users’ perspectives relevant to newborn and stillbirth data at different levels of the health system
Background: As few studies systematically analysed organisational and management factors related to newborn and stillbirth data quality, we sought to identify specific gaps in these factors to provide evidence for planning tailored actions. Methods: We performed a cross-sectional survey in 12 regions and 4 city administrations in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda between November 2022 and July 2024, collecting dat…
Availability and the quality of key newborn data within routine health facility data
Background: With declining funding for population-based household surveys, routine health facility data offer a promising alternative for tracking newborn health and service quality. However, their utility depends on data quality. We assessed the quality of ten data elements within routine health information systems in the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda, seven of which align with the Every Newborn Action Plan core …
Spectral clustering of Berlin’s housing spatial network to capture locational effects on pricing
This study develops a hedonic pricing model to improve the estimation of locational effects by leveraging clustering algorithms. Specifically, we examine and compare the predictive accuracy of four models: a baseline specification without locational effects, a standard model with traditional administrative boundaries, one using constrained K means clustering, and another employing a constrained spectral clustering. Focusing on Berlin’s housing ma…
Global Maternal and Child Health (5 works) · Pregnancy (4 works) · Health care (3 works) · MEDLINE (3 works) · Psychological intervention (3 works) · Electronic Health Records Systems (2 works) · Health facility (2 works) · ICT in Developing Communities (2 works) · Infant mortality (2 works) · Maternal and Neonatal Healthcare (2 works)