Fengqing Chao

Research Scientist

KAUST

About

I am a Research Scientist in the Biostatistics Group at KAUST. I am a statistician with research interest in demography and global health.

I have been collaborating with UNICEF, specifically the UN Inter-agency Group for Child Mortality Estimation, since 2012 on developing statistical models to estimate child and adolescent mortality disparities between sex, economic status, and place of residence. I have also been working with the UN Population Division since 2013 on estimating and projection sex ratio at birth using Bayesian approaches.

I have published in journals such as Lancet Global Health, Proceedings of the National Academy of Sciences, and Annals of Applied Statistics.

Fengqing is my given name, and the closest English pronunciation is “Fung-Ching”. Chao is my family name, pronounced as it is spelled.

My CV is available here. My KAUST profile is here.

Interests

Statistical Demography
Global Health
Bayesian Modeling
Time Series Analysis

Education

PhD in Biostatistics, 2017

National University of Singapore
BSc Hons in Statistics, 2012

National University of Singapore

News

Tweets by @FengqingChao

New preprint @SSRN! Sex differences in survival chances from birth to 24 for all countries 1990-2021, w @BrunoMasquelier @DanzhenYou Lucia Hug, Yang Liu, David Sharrow, @HavardRue1 Hernando Ombao and @LeontineAlkema. Available at https://t.co/uhDRLFvzbQ
— Fengqing Chao (@FengqingChao) April 19, 2023

New @WhioceIJPS paper on subnational sex ratio at birth (SRB) in Pakistan estimates since 1980 and scenario-based projections till 2050, w @Asifwazir and Hernando Ombao. https://t.co/fPqxHX51oJ
— Fengqing Chao (@FengqingChao) December 16, 2022

Other activities

Recent & Upcoming Talks at here.

Projects

Child and adolescence mortality rates disparity estimation

I build statistical models to estimate the disparities in child and adolescence mortality rates across countries over time.

Sex ratio at birth estimation and projection

I build statistical models to estimate and project human sex ratio at birth on national and sub-national levels.

Featured Publications

Chao, Fengqing, Patrick Gerland, Alex R. Cook, Christophe Z. Guilmoto, and Leontine Alkema. “Projecting sex imbalances at birth at global, regional and national levels from 2021 to 2100: scenario-based Bayesian probabilistic projections of the sex ratio at birth and missing female births based on 3.26 billion birth records." BMJ Global Health 6, no. 8 (2021): e005516.

Chao, Fengqing, Christophe Z. Guilmoto, Samir KC, and Hernando Ombao. “Probabilistic projection of the sex ratio at birth and missing female births by State and Union Territory in India." PLoS ONE 15, no. 8 (2020): e0236673.

Chao, Fengqing, Patrick Gerland, Alex R. Cook, and Leontine Alkema. “Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels." Proceedings of the National Academy of Sciences 116, no. 19 (2019): 9303-9311.

Chao, Fengqing, Danzhen You, Jon Pedersen, Lucia Hug, and Leontine Alkema. “National and regional under-5 mortality rate by economic status for low-income and middle-income countries: a systematic assessment." The Lancet Global Health 6, no. 5 (2018): e535-e547.

Recent Publications

full publication list here

Discover more by filtering my publications (journal articles, preprints, conference papers, reports, books, and thesis) and check my Google Scholar profile.

Fengqing Chao, Bruno Masquelier, Danzhen You, Lucia Hug, Yang Liu, David Sharrow, Håvard Rue, Hernando Ombao, Leontine Alkema (2023). Sex differences in survival chances among children, adolescents, and youth ages 0–24: A systematic assessment of national, regional, and global trends from 1990 to 2021.

PDF Project Source Document DOI

Fengqing Chao, Muhammad Asif Wazir, Hernando Ombao (2022). Levels and trends estimate of sex ratio at birth for seven provinces of Pakistan from 1980 to 2020 with scenario-based probabilistic projections of missing female birth to 2050: A Bayesian modeling approach. International Journal of Population Studies, 8(2) 51-70.