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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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

  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. Alcohol use has widespread effects on health and contributes to over 200 detrimental conditions. Although the pattern of heavy episodic drinking independently increases the risk for injuries and transmission o...

    Authors: Annibale Cois, Richard Matzopoulos, Victoria Pillay-van Wyk and Debbie Bradshaw
    Citation: Population Health Metrics 2021 19:43
  22. The concept of “premature mortality” is at the heart of many national and global health measurement and benchmarking efforts. However, despite the intuitive appeal of its underlying concept, it is far from obv...

    Authors: Stefano Mazzuco, Marc Suhrcke and Lucia Zanotto
    Citation: Population Health Metrics 2021 19:41

    The Correction to this article has been published in Population Health Metrics 2021 19:46

  23. In many high-income countries, life expectancy (LE) has increased, with women outliving men. This gender gap in LE (GGLE) has been explained with biological factors, healthy behaviours, health status, and soci...

    Authors: Kasim Allel, Franceso Salustri, Hassan Haghparast-Bidgoli and Ali Kiadaliri
    Citation: Population Health Metrics 2021 19:40
  24. Authors: Fatemeh Sadeghi, Bahman Cheraghian, Zahra Mohammadi, Sadaf G. Sepanlou, Sahar Masoudi, Zahra Rahimi, Leila Danehchin, Yousef Paridar, Farhad Abolnezhadian, Mohammad Noori, Seyed Ali Mard, Ali Akbar Shayesteh and Hossein Poustchi
    Citation: Population Health Metrics 2021 19:39

    The original article was published in Population Health Metrics 2021 19:26

  25. Type 2 diabetes (T2D) causes substantial disease burden and is projected to affect an increasing number of people in coming decades. This study provides projected estimates of life years free of type 2 diabete...

    Authors: Thaddäus Tönnies, Jens Baumert, Christin Heidemann, Elena von der Lippe, Ralph Brinks and Annika Hoyer
    Citation: Population Health Metrics 2021 19:38
  26. Gender differences in the trend of educational inequality in diabetes have been widely observed in the Western populations, indicating the increasing importance of educational attainment as a social determinan...

    Authors: Gary Ka-Ki Chung, Francisco Tsz Tsun Lai, Eng-Kiong Yeoh and Roger Yat-Nork Chung
    Citation: Population Health Metrics 2021 19:37
  27. Low birthweight (LBW) (< 2500 g) is a significant determinant of infant morbidity and mortality worldwide. In low-income settings, the quality of birthweight data suffers from measurement and recording errors,...

    Authors: Estifanos Baye, Firehiwot Workneh Abate, Michelle Eglovitch, Fisseha Shiferie, Ingrid E. Olson, Tigest Shifraw, Workagegnehu Tarekegn Kidane, Kalkidan Yibeltal, Sitota Tsegaye, Mulatu Melese Derebe, Sheila Isanaka, Blair J. Wylie, Rose L. Molina, Grace J. Chan, Amare Worku, Luke C. Mullany…
    Citation: Population Health Metrics 2021 19:35
  28. The lack of classification by educational attainment in death and population exposure data at older ages is an important constraint for studying changes and patterns of mortality disparities by education in De...

    Authors: László Németh, Domantas Jasilionis, Henrik Brønnum-Hansen and Dmitri A. Jdanov
    Citation: Population Health Metrics 2021 19:34
  29. The presence and quality of social ties can influence suicide risk. In adulthood, the most common provider of such ties is one’s partner. As such, the link between marital status and suicide is well-documented...

    Authors: Carine Øien-Ødegaard, Lars Johan Hauge and Anne Reneflot
    Citation: Population Health Metrics 2021 19:33
  30. This is the first study to examine the costs of conducting a mobile phone survey (MPS) through interactive voice response (IVR) to collect information on risk factors for noncommunicable diseases (NCD) in thre...

    Authors: Andres I. Vecino-Ortiz, Madhuram Nagarajan, Kenneth Roger Katumba, Shamima Akhter, Raymond Tweheyo, Dustin G. Gibson, Joseph Ali, Elizeus Rutebemberwa, Iqbal Ansary Khan, Alain Labrique and George W. Pariyo
    Citation: Population Health Metrics 2021 19:32
  31. Influenza and respiratory syncytial virus (RSV) contribute significantly to the burden of acute lower respiratory infection (ALRI) inpatient care, but heterogeneous coding practices and availability of inpatie...

    Authors: Emily K. Johnson, Dillon Sylte, Sandra S. Chaves, You Li, Cedric Mahe, Harish Nair, John Paget, Tayma van Pomeren, Ting Shi, Cecile Viboud and Spencer L. James
    Citation: Population Health Metrics 2021 19:31
  32. Since the Global Burden of Disease study (GBD) has become more comprehensive, data for hundreds of causes of disease burden, measured using Disability Adjusted Life Years (DALYs), have become increasingly avai...

    Authors: Henry Dyson, Raf Van Gestel and Eddy van Doorslaer
    Citation: Population Health Metrics 2021 19:30
  33. It remains unclear whether alcohol use disorders (AUDs) can be characterized by specific levels of average daily alcohol consumption. The aim of the current study was to model the distributions of average dail...

    Authors: Huan Jiang, Shannon Lange, Alexander Tran, Sameer Imtiaz and Jürgen Rehm
    Citation: Population Health Metrics 2021 19:28
  34. The number of deaths attributable to COVID-19 in Spain has been highly controversial since it is problematic to tell apart deaths having COVID as the main cause from those provoked by the aggravation by the vi...

    Authors: Pedro Saavedra, Angelo Santana, Luis Bello, José-Miguel Pacheco and Esther Sanjuán
    Citation: Population Health Metrics 2021 19:27
  35. In 2017, the American College of Cardiology/American Heart Association (ACC/AHA) provided a new guideline for hypertension prevention and management. We aimed to update the prevalence, awareness, control, and ...

    Authors: Fatemeh Sadeghi, Bahman Cheraghian, Zahra Mohammadi, Sadaf G. Sepanlou, Sahar Masoudi, Zahra Rahimi, Leila Danehchin, Yousef Paridar, Farhad Abolnezhadian, Mohammad Noori, Seyed Ali Mard, Ali Akbar Shayesteh and Hossein Poustchi
    Citation: Population Health Metrics 2021 19:26

    The Correction to this article has been published in Population Health Metrics 2021 19:39

  36. Most deaths in China occur at home, making it difficult to collect reliable cause of death (CoD) information. Verbal autopsy (VA) was applied using the SmartVA tool to a sample of home deaths in China to explo...

    Authors: Jinlei Qi, Tim Adair, Hafizur R. Chowdhury, Hang Li, Deirdre McLaughlin, Yunning Liu, Jiangmei Liu, Xinying Zeng, Jinling You, Sonja Firth, Renee Sorchik, Peng Yin, Lijun Wang, Maigeng Zhou and Alan D. Lopez
    Citation: Population Health Metrics 2021 19:25
  37. Although understanding changes in the body weight distribution and trends in obesity inequality plays a key role in assessing the causes and persistence of obesity, limited research on this topic is available ...

    Authors: Peng Nie, Lanlin Ding, Alfonso Sousa-Poza, Alina Alfonso Leon, Hong Xue, Peng Jia, Liang Wang and Youfa Wang
    Citation: Population Health Metrics 2021 19:24
  38. The expanded definition of liver-related deaths includes a wide range of etiologies and sequelae. We compared the changes in liver-related mortality by etiology and sequelae for different age groups between 20...

    Authors: Ming-Jen Sheu, Fu-Wen Liang, Ching-Yih Lin and Tsung-Hsueh Lu
    Citation: Population Health Metrics 2021 19:22
  39. Disability weights (DWs) are weight factors that reflect the severity of health states for estimates of disability-adjusted life years. A new set of global DWs was published for the Global Burden of Diseases a...

    Authors: Shuhei Nomura, Yoshiko Yamamoto, Daisuke Yoneoka, Juanita A. Haagsma, Joshua A. Salomon, Peter Ueda, Rintaro Mori, Damian Santomauro, Theo Vos and Kenji Shibuya
    Citation: Population Health Metrics 2021 19:21
  40. Nicotine vaping products (NVPs) are increasingly popular worldwide. They may provide public health benefits if used as a substitute for smoking, but may create public health harms if used as a gateway to smoki...

    Authors: David T. Levy, Jamie Tam, Luz María Sanchez-Romero, Yameng Li, Zhe Yuan, Jihyoun Jeon and Rafael Meza
    Citation: Population Health Metrics 2021 19:19
  41. Population-based cancer registries are required to calculate cancer incidence in a geographical area, and several methods have been developed to obtain estimations of cancer incidence in areas not covered by a...

    Authors: Daniel Redondo-Sánchez, Miguel Rodríguez-Barranco, Alberto Ameijide, Francisco Javier Alonso, Pablo Fernández-Navarro, Jose Juan Jiménez-Moleón and María-José Sánchez
    Citation: Population Health Metrics 2021 19:18
  42. Paradata are (timestamped) records tracking the process of (electronic) data collection. We analysed paradata from a large household survey of questions capturing pregnancy outcomes to assess performance (timi...

    Authors: Vladimir Sergeevich Gordeev, Joseph Akuze, Angela Baschieri, Sanne M. Thysen, Francis Dzabeng, M. Moinuddin Haider, Melanie Smuk, Michael Wild, Michael M. Lokshin, Temesgen Azemeraw Yitayew, Solomon Mokonnen Abebe, Davis Natukwatsa, Collins Gyezaho, Seeba Amenga-Etego, Joy E. Lawn and Hannah Blencowe
    Citation: Population Health Metrics 2021 19(Suppl 1):10

    This article is part of a Supplement: Volume 19 Supplement 1

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