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  1. Accurate measurement of children’s anthropometry is of central importance for the assessment of nutritional status as well as for the evaluation of nutrition-specific interventions. Social distancing requireme...

    Authors: Günther Fink, Mpela Chembe, Savanna Henderson, Peter C Rockers and Doug Parkerson
    Citation: Population Health Metrics 2024 22:2
  2. Mortality data obtained from death certificates have been studied to explore causal associations between diseases. However, these analyses are subject to collider and reporting biases (selection and informatio...

    Authors: Moussa Laanani, Vivian Viallon, Joël Coste and Grégoire Rey
    Citation: Population Health Metrics 2023 21:21
  3. Currently, there is a lack of clear guidance on hemoglobin (Hb) data quality parameters and plausible flagging ranges for population-representative surveys. There is a need to determine which properties of Hb ...

    Authors: Oleg Bilukha, Behzad Kianian and Kaitlyn L. I. Samson
    Citation: Population Health Metrics 2023 21:20
  4. To develop public health intervention models using micro-simulations, extensive personal information about inhabitants is needed, such as socio-demographic, economic and health figures. Confidentiality is an e...

    Authors: Mioara A. Nicolaie, Koen Füssenich, Caroline Ameling and Hendriek C. Boshuizen
    Citation: Population Health Metrics 2023 21:19
  5. Understanding comorbidity and its burden characteristics is essential for policymakers and healthcare providers to allocate resources accordingly. However, several definitions of comorbidity burden can be foun...

    Authors: Angela Andreella, Lorenzo Monasta and Stefano Campostrini
    Citation: Population Health Metrics 2023 21:18
  6. The COVID-19 pandemic stressed public health systems worldwide due to emergence of several highly transmissible variants of concern. Diverse and complex intervention policies deployed over the last years have ...

    Authors: Quang Dang Nguyen, Sheryl L. Chang, Christina M. Jamerlan and Mikhail Prokopenko
    Citation: Population Health Metrics 2023 21:17
  7. The COVID-19 pandemic has disrupted the healthcare system, leading to delays in detection of other non-COVID-19 diseases. This paper presents ANE Framework (Analytics for Non-COVID-19 Events), a reliable and u...

    Authors: María del Pilar Villamil, Nubia Velasco, David Barrera, Andrés Segura-Tinoco, Oscar Bernal and José Tiberio Hernández
    Citation: Population Health Metrics 2023 21:16
  8. Current measures for monitoring progress towards universal health coverage (UHC) do not adequately account for populations that do not have the same level of access to quality care services and/or financial pr...

    Authors: Paul Kowal, Barbara Corso, Kanya Anindya, Flavia C. D. Andrade, Thanh Long Giang, Maria Teresa Calzada Guitierrez, Wiraporn Pothisiri, Nekehia T. Quashie, Herney Alonso Rengifo Reina, Megumi Rosenberg, Andy Towers, Paolo Miguel Manalang Vicerra, Nadia Minicuci, Nawi Ng and Julie Byles
    Citation: Population Health Metrics 2023 21:15
  9. Cancer control initiatives are informed by quantifying the capacity to reduce cancer burden through effective interventions. Burden measures using health administrative data are a sustainable way to support mo...

    Authors: David Banham, Jonathan Karnon, Alex Brown, David Roder and John Lynch
    Citation: Population Health Metrics 2023 21:14
  10. Life expectancy is a simple measure of assessing health differences between two or more populations but current life expectancy calculations are not reliable for small populations. A potential solution to this...

    Authors: Freya Tyrer, Yogini V. Chudasama, Paul C. Lambert and Mark J. Rutherford
    Citation: Population Health Metrics 2023 21:13
  11. The distribution of healthcare services should be based on the needs of the population, regardless of their ability to pay. Achieving universal health coverage implies first ensuring that people of all income ...

    Authors: Nurnabi Sheikh, Marufa Sultana, Abdur Razzaque Sarker and Alec Morton
    Citation: Population Health Metrics 2023 21:12
  12. Infant and neonatal mortality estimates are typically derived from retrospective birth histories collected through surveys in countries with unreliable civil registration and vital statistics systems. Yet such...

    Authors: Daniel J. Erchick, Seema Subedi, Andrea Verhulst, Michel Guillot, Linda S. Adair, Aluísio J. D. Barros, Bernard Chasekwa, Parul Christian, Bruna Gonçalves C. da Silva, Mariângela F. Silveira, Pedro C. Hallal, Jean H. Humphrey, Lieven Huybregts, Simon Kariuki, Subarna K. Khatry, Carl Lachat…
    Citation: Population Health Metrics 2023 21:10
  13. Obtaining representative abortion incidence estimates is challenging in restrictive contexts. While the confidante method has been increasingly used to collect this data in such settings, there are several bia...

    Authors: Onikepe O. Owolabi, Margaret Giorgio, Ellie Leong and Elizabeth Sully
    Citation: Population Health Metrics 2023 21:9

    The Correction to this article has been published in Population Health Metrics 2023 21:11

  14. Full birth histories (FBHs) are a key tool for estimating fertility and child mortality in low- and middle-income countries, but they are lengthy to collect. This is not desirable, especially for rapid turnaro...

    Authors: Bruno Masquelier, Ashira Menashe-Oren and Georges Reniers
    Citation: Population Health Metrics 2023 21:8
  15. During the COVID-19 pandemic, governments and researchers have used routine health data to estimate potential declines in the delivery and uptake of essential health services. This research relies on the data ...

    Authors: Wondimu Ayele, Anna Gage, Neena R. Kapoor, Solomon Kassahun Gelaw, Dilipkumar Hensman, Anagaw Derseh Mebratie, Adiam Nega, Daisuke Asai, Gebeyaw Molla, Suresh Mehata, Londiwe Mthethwa, Nompumelelo Gloria Mfeka-Nkabinde, Jean Paul Joseph, Daniella Myriam Pierre, Roody Thermidor and Catherine Arsenault
    Citation: Population Health Metrics 2023 21:7
  16. Low birth weight (LBW) is a significant public health concern given its association with early-life mortality and other adverse health consequences that can impact the entire life cycle. In many countries, acc...

    Authors: Alloys K’Oloo, Evance Godfrey, Annariina M. Koivu, Hellen C. Barsosio, Karim Manji, Veneranda Ndesangia, Fredrick Omiti, Mohamed Bakari Khery, Everlyne D. Ondieki, Simon Kariuki, Feiko O. ter Kuile, R. Matthew Chico, Nigel Klein, Otto Heimonen, Per Ashorn, Ulla Ashorn…
    Citation: Population Health Metrics 2023 21:6
  17. Measurement of the Chinese burden of disease with disability-adjusted life-years (DALYs) requires disability weight (DW) that quantify health losses for all non-fatal consequences of disease and injury. The Gl...

    Authors: Xiaoxue Liu, Yan Guo, Fang Wang, Yong Yu, Yaqiong Yan, Haoyu Wen, Fang Shi, Yafeng Wang, Xuyan Wang, Hui Shen, Shiyang Li, Yanyun Gong, Sisi Ke, Wei Zhang, Qiman Jin, Gang Zhang…
    Citation: Population Health Metrics 2023 21:5
  18. Low back pain (LBP), neck pain (NKP), osteoarthritis (OST) and rheumatoid arthritis (RHE) are among the musculoskeletal (MSK) disorders causing the greatest disability in terms of Years Lived with Disability. ...

    Authors: Vanessa Gorasso, Johan Van der Heyden, Robby De Pauw, Ingrid Pelgrims, Eva M. De Clercq, Karin De Ridder, Stefanie Vandevijvere, Stijn Vansteelandt, Bert Vaes, Delphine De Smedt and Brecht Devleesschauwer
    Citation: Population Health Metrics 2023 21:4
  19. This descriptive study assessed the completeness, agreement, and representativeness of ethnicity recording in the United Kingdom (UK) Clinical Practice Research Datalink (CPRD) primary care databases alone and...

    Authors: Suhail I. Shiekh, Mia Harley, Rebecca E. Ghosh, Mark Ashworth, Puja Myles, Helen P. Booth and Eleanor L. Axson
    Citation: Population Health Metrics 2023 21:3
  20. AMI and stroke are the leading causes of premature mortality and hospitalizations in China. Incidence data at the population level for the two diseases is limited and the reliability and completeness of the ex...

    Authors: Hong Xiao, Fang Liu and Joseph M. Unger
    Citation: Population Health Metrics 2023 21:2
  21. We aimed to combine Global Burden of Disease (GBD) Study data and local data to identify the highest priority intervention domains for preventing cardiovascular disease (CVD) in the case study country of Aotea...

    Authors: Nick Wilson, Christine Cleghorn, Nhung Nghiem and Tony Blakely
    Citation: Population Health Metrics 2023 21:1
  22. Although treatment and control of diabetes can prevent complications and reduce morbidity, few data sources exist at the state level for surveillance of diabetes comorbidities and control. Surveys and electron...

    Authors: Russell Mardon, Joanne Campione, Jennifer Nooney, Lori Merrill, Maurice Johnson Jr., David Marker, Frank Jenkins, Sharon Saydah, Deborah Rolka, Xuanping Zhang, Sundar Shrestha and Edward Gregg
    Citation: Population Health Metrics 2022 20:22
  23. Concentration index-based measures are one of the most popular tools for estimating socioeconomic-status-related health inequalities. In recent years, several variants of the concentration index have been deve...

    Authors: Paul Contoyannis, Jeremiah Hurley and Marjan Walli-Attaei
    Citation: Population Health Metrics 2022 20:21
  24. Chronic pain is a common disease; about 20% of people worldwide suffer from it. While compared with the research on the prevalence and management of chronic pain in developed countries, there is a relative lac...

    Authors: Yingying Jiang, Tingling Xu, Fan Mao, Yu Miao, Botao Liu, Liyuan Xu, Lingni Li, Nikoletta Sternbach, Maigeng Zhou and Bifa Fan
    Citation: Population Health Metrics 2022 20:20
  25. Most cancer disability-adjusted life year (DALY) studies worldwide have used broad, generic disability weights (DWs); however, differences exist among populations and types of cancers. Using breast cancer as e...

    Authors: Xin-Xin Yan, Juan Zhu, Yan-Jie Li, Meng-Di Cao, Xin Wang, Hong Wang, Cheng-Cheng Liu, Jing Wang, Yang Li and Ju-Fang Shi
    Citation: Population Health Metrics 2022 20:19
  26. Data that capture implementation strength can be combined in multiple ways across content and health system levels to create a summary measure that can help us to explore and compare program implementation acr...

    Authors: Anooj Pattnaik, Diwakar Mohan, Scott Zeger, Mercy Kanyuka, Fannie Kachale and Melissa A. Marx
    Citation: Population Health Metrics 2022 20:18
  27. This study compares the health gains, costs, and cost-effectiveness of hundreds of Australian and New Zealand (NZ) health interventions conducted with comparable methods in an online interactive league table d...

    Authors: Natalie Carvalho, Tanara Vieira Sousa, Anja Mizdrak, Amanda Jones, Nick Wilson and Tony Blakely
    Citation: Population Health Metrics 2022 20:17
  28. Timely tracking of health outcomes is difficult in low- and middle-income countries without comprehensive vital registration systems. Community health workers (CHWs) are increasingly collecting vital events da...

    Authors: Nandini Choudhury, Aparna Tiwari, Wan-Ju Wu, Ved Bhandari, Laxman Bhatta, Bhawana Bogati, David Citrin, Scott Halliday, Sonu Khadka, Nutan Marasini, Sachit Pandey, Madeleine Ballard, Hari Jung Rayamazi, Sabitri Sapkota, Ryan Schwarz, Lisa Sullivan…
    Citation: Population Health Metrics 2022 20:16
  29. There is a critical need for maternal and child health data at the local level (for example, county), yet most counties lack sustainable resources or capabilities to collect local-level data. In such case, mod...

    Authors: Yan Wang, Heather Tevendale, Hua Lu, Shanna Cox, Susan A. Carlson, Rui Li, Holly Shulman, Brian Morrow, Philip A. Hastings and Wanda D. Barfield
    Citation: Population Health Metrics 2022 20:14
  30. Equal-tailed confidence intervals that maintain nominal coverage (0.95 or greater probability that a 95% confidence interval covers the true value) are useful in interval-based statistical reliability standard...

    Authors: Makram Talih, Robert N. Anderson and Jennifer D. Parker
    Citation: Population Health Metrics 2022 20:13
  31. The period fertility in China has declined to very low levels, and the completed cohort fertility rate (CFR) has also decreased significantly. However, the exact fertility rate remains controversial. While the...

    Authors: Shucai Yang, Quanbao Jiang and Jesús J. Sánchez-Barricarte
    Citation: Population Health Metrics 2022 20:12
  32. We have previously developed and validated a biomarker-based metric of overall health status using Mahalanobis distance (DM) to measure how far from the norm of a reference population (RP) an individual’s biom...

    Authors: Qing Li, Véronique Legault, Vincent-Daniel Girard, Luigi Ferrucci, Linda P. Fried and Alan A. Cohen
    Citation: Population Health Metrics 2022 20:11
  33. Pregnant women in sub-Saharan Africa have high risk of HIV acquisition, yet approaches for measuring maternal HIV incidence using routine surveillance systems are undefined. We used programmatic data from rout...

    Authors: Katrina F. Ortblad, Shreshth Mawandia, Odirile Bakae, Lenna Tau, Matias Grande, Goabaone Pankie Mogomotsi, Esther Mmatli, Modise Ngombo, Laura Seckel, Renee Heffron, Jillian Pintye and Jenny Ledikwe
    Citation: Population Health Metrics 2022 20:10
  34. Diabetes and chronic kidney diseases are associated with a large health burden in the USA and globally.

    Authors: Ali H. Mokdad, Laura Dwyer-Lindgren, Amelia Bertozzi-Villa, Rebecca W. Stubbs, Chloe Morozoff, Shreya Shirude, Sam B. Finegold, Charlton Callender, Mohsen Naghavi and Christopher J. L. Murray
    Citation: Population Health Metrics 2022 20:9
  35. The HIV/AIDS pandemic has had a very devastating impact at a global level, with the Eastern and Southern African region being the hardest hit. The considerable geographical variation in the pandemic means vary...

    Authors: Chris Mweemba, Peter Hangoma, Isaac Fwemba, Wilbroad Mutale and Felix Masiye
    Citation: Population Health Metrics 2022 20:8
  36. Vital registration is an important element in health information systems which can inform policy and strengthen health systems. Mexico has a well-functioning vital registration system; however, there is still ...

    Authors: Bernardo Hernandez, Elsa Rodriguez Angulo, Louisa M. Johnson, Erin B. Palmisano, Ricardo Ojeda, Rafael Ojeda, Salvador Gómez Carro, Alan Chen, Joseph Camarda, Casey Johanns and Abraham Flaxman
    Citation: Population Health Metrics 2022 20:7
  37. Simulation models can be used to quantify the projected health impact of interventions. Quantifying heterogeneity in these impacts, for example by socioeconomic status, is important to understand impacts on he...

    Authors: Patrick Andersen, Anja Mizdrak, Nick Wilson, Anna Davies, Laxman Bablani and Tony Blakely
    Citation: Population Health Metrics 2022 20:6
  38. Many low- and middle-income countries cannot measure maternal mortality to monitor progress against global and country-specific targets. While the ultimate goal for these countries is to have complete civil re...

    Authors: Kavita Singh, Qingfeng Li, Karar Zunaid Ahsan, Sian Curtis and William Weiss
    Citation: Population Health Metrics 2022 20:5
  39. Populations affected by crises (armed conflict, food insecurity, natural disasters) are poorly covered by demographic surveillance. As such, crisis-wide estimation of population mortality is extremely challeng...

    Authors: Francesco Checchi, Adrienne Testa, Amy Gimma, Emilie Koum-Besson and Abdihamid Warsame
    Citation: Population Health Metrics 2022 20:4
  40. The mortality pattern from birth to age five is known to vary by underlying cause of mortality, which has been documented in multiple instances. Many countries without high functioning vital registration syste...

    Authors: Jamie Perin, Yue Chu, Francisco Villavicencio, Austin Schumacher, Tyler McCormick, Michel Guillot and Li Liu
    Citation: Population Health Metrics 2022 20:3

    The Correction to this article has been published in Population Health Metrics 2022 20:15

  41. Significant levels of funding have been provided to low- and middle-income countries for development assistance for health, with most funds coming through direct bilateral investment led by the USA and the UK....

    Authors: William Weiss, Bhumika Piya, Althea Andrus, Karar Zunaid Ahsan and Robert Cohen
    Citation: Population Health Metrics 2022 20:2
  42. Current measures to monitor population health include indicators of (i) average length-of-life (life expectancy), (ii) average length-of-life spent in good health (health expectancy), and (iii) variability in ...

    Authors: Iñaki Permanyer, Jeroen Spijker and Amand Blanes
    Citation: Population Health Metrics 2022 20:1
  43. Despite substantial improvements in prevention and therapy, myocardial infarction (MI) remains a frequent health event, causing high mortality and serious health impairments. Previous research lacks evidence o...

    Authors: Juliane Tetzlaff, Fabian Tetzlaff, Siegfried Geyer, Stefanie Sperlich and Jelena Epping
    Citation: Population Health Metrics 2021 19:47
  44. Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade-off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is ...

    Authors: Stefan T. Trautmann, Yilong Xu, Christian König-Kersting, Bryan N. Patenaude, Guy Harling, Ali Sié and Till Bärnighausen
    Citation: Population Health Metrics 2021 19:45
  45. Poor data quality is limiting the use of data sourced from routine health information systems (RHIS), especially in low- and middle-income countries. An important component of this data quality issue comes fro...

    Authors: Shuo Feng, Celestin Hategeka and Karen Ann Grépin
    Citation: Population Health Metrics 2021 19:44

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