Ece A Özçelik
Biographic Data
| ID | 6334387 |
|---|---|
| NAME | Ece A Özçelik |
| GIVEN NAMES | Ece A |
| FAMILY NAME | Özçelik |
| SIGNATURE | ÖZÇELIK E A |
| AFFILIATIONS | Harvard Global Health Institute |
| ORCID | 0000-0002-2416-6828 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
A comparative assessment of action plans on antimicrobial resistance from OECD and G20 countries using natural language processing
Assessing the performance of beneficiary targeting in Brazil’s More Doctors Programme
Many countries employ strategies that rest on the use of an explicitly defined set of criteria to identify underserved communities. Yet, we know relatively little about the performance of community-level targeting in large-scale health programmes. To address this gap, we examine the performance of community targeting in the More Doctors Programme (MDP). Our analysis covers all 5570 municipalities in the period between 2013 and 2017 using publicly…
Applying Inverse Probability Weighting to Measure Contraceptive Prevalence Using Data from a Community-Based Reproductive Health Intervention in Pakistan
CONTEXT: Many community-based reproductive health programs use their program data to monitor progress toward goals. However, using such data to assess programmatic impact on outcomes such as contraceptive use poses methodological challenges. Inverse probability weighting (IPW) may help overcome these issues. METHODS: Data on 33,162 women collected in 2013-2015 as part of a large-scale community-based reproductive health initiative were used to pr…
Impact of Brazil's More Doctors Program on hospitalizations for primary care sensitive cardiovascular conditions
Globally, cardiovascular diseases are the leading cause of disease burden and death. Timely and appropriate provision of primary care may lead to sizeable reductions in hospitalizations for a range of chronic and acute health conditions. In this paper, we study the impact of Brazil's More Doctors Program (MDP) on hospitalizations due to cerebrovascular disease and hypertension. We exploit the geographic variation in the uptake of the MPD and comb…
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Applying Inverse Probability Weighting to Measure Contraceptive Prevalence Using Data from a Community-Based Reproductive Health Intervention in Pakistan
CONTEXT: Many community-based reproductive health programs use their program data to monitor progress toward goals. However, using such data to assess programmatic impact on outcomes such as contraceptive use poses methodological challenges. Inverse probability weighting (IPW) may help overcome these issues. METHODS: Data on 33,162 women collected in 2013-2015 as part of a large-scale community-based reproductive health initiative were used to pr…
Impact of Brazil's More Doctors Program on hospitalizations for primary care sensitive cardiovascular conditions
Globally, cardiovascular diseases are the leading cause of disease burden and death. Timely and appropriate provision of primary care may lead to sizeable reductions in hospitalizations for a range of chronic and acute health conditions. In this paper, we study the impact of Brazil's More Doctors Program (MDP) on hospitalizations due to cerebrovascular disease and hypertension. We exploit the geographic variation in the uptake of the MPD and comb…
Assessing the performance of beneficiary targeting in Brazil’s More Doctors Programme
Many countries employ strategies that rest on the use of an explicitly defined set of criteria to identify underserved communities. Yet, we know relatively little about the performance of community-level targeting in large-scale health programmes. To address this gap, we examine the performance of community targeting in the More Doctors Programme (MDP). Our analysis covers all 5570 municipalities in the period between 2013 and 2017 using publicly…
A comparative assessment of action plans on antimicrobial resistance from OECD and G20 countries using natural language processing
Medicine (4 works) · Environmental health (3 works) · Computer Science (2 works) · Demography (2 works) · Economics (2 works) · Geography (2 works) · Global Maternal and Child Health (2 works) · Healthcare Policy and Management (2 works) · Healthcare Systems and Reforms (2 works) · Population (2 works)