Julio E Romero-Prieto

Biographic Data

ID5593939
NAMEJulio E Romero-Prieto
GIVEN NAMESJulio E
FAMILY NAMERomero-Prieto
SIGNATUREROMERO-PRIETO J E
AFFILIATIONSLondon School of Hygiene & Tropical Medicine
ORCID0000-0002-8131-7821
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS5
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX2

  • Estimates of Under-Five Mortality From a Mobile Phone Survey During the Covid-19 Outbreak

    Open AccessJulio Romero-Prieto, Julio E Romero-Prieto et al.ARTICLEDemography2026

    Under-five mortality estimates for low- and middle-income countries are primarily derived from detailed birth or pregnancy histories collected through in-person household surveys. Such surveys are, however, resource intensive and vulnerable to interruption during epidemic outbreaks and other crises. Remotely deployed mobile phone surveys can circumvent these disadvantages, but their suitability for measuring population-level mortality has not bee…

  • Pregnancy reporting and biases in under-five mortality in three African HDSSs

    Open AccessHallie Eilerts-Spinelli, Julio E Romero-Prieto et al.ARTICLEPopulation Studies2025References: 48

    In the absence of complete civil registration and vital statistics, Health and Demographic Surveillance Systems (HDSSs) are important sources of population-based data throughout sub-Saharan Africa. However, HDSS data on the vital status of newborns are often unreliable due to omission of those who were born and died between two rounds of data collection and are therefore never enumerated. This study investigates whether pregnancy registration imp…

  • Estimating 1 a 0 and 4 a 1 in a Life Table

    Open AccessJulio E Romero-Prieto, Andrea Verhulst et al.ARTICLEDemography2024References: 9

    The average age of infant deaths, a10, and the average number of years lived—in the age interval—by those dying between ages 1 and 5, a41, are important quantities allowing the construction of any life table including these ages. In many applications, the direct calculation of these parameters is not possible, so they are estimated using the infant mortality rate—or the death rate from 0 to 1—as a predictor. Existing methods are general approxima…

  • Interrogating the quality and completion of mortality mobile phone interviews conducted in Malawi during Covid-19

    Open AccessEmmanuel Souza, Emmanuel F Souza et al.ARTICLEDemographic Research2024References: 12

    BACKGROUNDMobile phone surveys (MPSs) have gained traction as a tool for gathering survey data, especially following the emergency of COVID-19.However, our understanding of MPS data quality in contexts with limited mobile phone penetration is still modest. OBJECTIVEThis study evaluates (1) the circumstances under which mobile phone survey interviews were conducted and how these might influence the completion and quality of interviews, and (2) whe…

  • Sample selection bias in adult mortality estimates from mobile phone surveys

    Open AccessSahar Ahmed, Julio Romero-Prieto et al.ARTICLEDemographic Research2024References: 13

    BACKGROUNDMobile phone surveys are gaining traction in low-and middle-income countries, but mobile phone ownership (MPO) is not universal, potentially introducing sample selection bias in ensuing estimates. OBJECTIVETo evaluate MPO-associated sample selection bias in adult mortality estimates from sibling survival histories (SSH) administered to women of reproductive age. METHODSUsing data from 25 Demographic and Health Surveys, we (1) used logis…

  • Modeling Age Patterns of Under-5 Mortality

    Open AccessMichel Guillot, Julio E Romero-Prieto et al.ARTICLEDemography2022Cited by: 3References: 29

    Information about how the risk of death varies with age within the 0–5 age range represents critical evidence for guiding health policy. This study proposes a new model for summarizing regularities about how under-5 mortality is distributed by detailed age. The model is based on a newly compiled database that contains under-5 mortality information by detailed age in countries with high-quality vital registration systems, covering a wide array of …

  • Age patterns of under-5 mortality in sub-Saharan Africa during 1990-2018

    Open AccessHallie Eilerts, Hallie Eilerts-Spinelli et al.ARTICLEDemographic Research2021Cited by: 2References: 18

    BACKGROUND: Estimates of under-5 mortality (U5M) for sub-Saharan African populations often rely heavily on full birth histories (FBHs) collected in surveys and model age patterns of mortality calibrated against vital statistics from other populations. Health and Demographic Surveillance Systems (HDSSs) are alternate sources of population-based data in much of sub-Saharan Africa, which are less formally utilized in estimation. OBJECTIVE: In this s…