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6. Modified Pathway to Survival highlights importance of rapid access to quality institutional delivery care to decrease neonatal mortality in Serang and Jember districts, Java, Indonesia

Author

Kalter, Henry D, primary, Setel, Philip W, additional, Deviany, Poppy E, additional, Nugraheni, Sri A, additional, Sumarmi, Sri, additional, Weaver, Emily H, additional, Latief, Kamaluddin, additional, Rianty, Tika, additional, Nandiaty, Fitri, additional, Anggondowati, Trisari, additional, and Achadi, Endang L, additional

Published
2023
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7. Multi-Cause Calibration of Verbal Autopsy–Based Cause-Specific Mortality Estimates of Children and Neonates in Mozambique

Author

Gilbert, Brian, primary, Fiksel, Jacob, additional, Wilson, Emily, additional, Kalter, Henry, additional, Kante, Almamy, additional, Akum, Aveika, additional, Blau, Dianna, additional, Bassat, Quique, additional, Macicame, Ivalda, additional, Samo Gudo, Eduardo, additional, Black, Robert, additional, Zeger, Scott, additional, Amouzou, Agbessi, additional, and Datta, Abhirup, additional

Published
2023
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8. Countrywide Mortality Surveillance for Action in Mozambique: Results from a National Sample-Based Vital Statistics System for Mortality and Cause of Death

Author

Macicame, Ivalda, primary, Kante, Almamy M., additional, Wilson, Emily, additional, Gilbert, Brian, additional, Koffi, Alain, additional, Nhachungue, Sheila, additional, Monjane, Celso, additional, Duce, Pedro, additional, Adriano, Antonio, additional, Chicumbe, Sergio, additional, Jani, Ilesh, additional, Kalter, Henry D., additional, Datta, Abhirup, additional, Zeger, Scott, additional, Black, Robert E., additional, Gudo, Eduardo Samo, additional, Amouzou, Agbessi, additional, and _, _, additional

Published
2023
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9. Correcting for Verbal Autopsy Misclassification Bias in Cause-Specific Mortality Estimates

Author

Fiksel, Jacob, primary, Gilbert, Brian, additional, Wilson, Emily, additional, Kalter, Henry, additional, Kante, Almamy, additional, Akum, Aveika, additional, Blau, Dianna, additional, Bassat, Quique, additional, Macicame, Ivalda, additional, Samo Gudo, Eduardo, additional, Black, Robert, additional, Zeger, Scott, additional, Amouzou, Agbessi, additional, and Datta, Abhirup, additional

Published
2023
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10. Care-seeking and health insurance among pregnancy-related deaths: A population-based study in Jember District, East Java Province, Indonesia

Author

Anggondowati, Trisari, primary, Deviany, Poppy E., additional, Latief, Kamaluddin, additional, Adi, Annis C., additional, Nandiaty, Fitri, additional, Achadi, Anhari, additional, Kalter, Henry D., additional, Weaver, Emily H., additional, Rianty, Tika, additional, Ruby, Mahlil, additional, Wahyuni, Sri, additional, Riyanti, Akhir, additional, Lisnawati, Naintina, additional, Kusariana, Nissa, additional, Achadi, Endang L., additional, and Setel, Philip W., additional

Published
2022
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11. Neonatal mortality in two districts in Indonesia: Findings from Neonatal Verbal and Social Autopsy (VASA)

Author

Deviany, Poppy E., primary, Setel, Philip W., additional, Kalter, Henry D., additional, Anggondowati, Trisari, additional, Martini, Martini, additional, Nandiaty, Fitri, additional, Latief, Kamaluddin, additional, Weaver, Emily H., additional, Rianty, Tika, additional, Achadi, Anhari, additional, Wahyuni, Sri, additional, Setyaningtyas, Stefania W., additional, Haryana, Nila R., additional, Mehrain, Luna M., additional, and Achadi, Endang L., additional

Published
2022
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19. Decrease in infant mortality in New York City after 1989

Author

Kalter, Henry D., Na, Yingjian, and O'Campo, Patricia

Subjects
New York, New York -- Health aspects, Infants -- Patient outcomes, Mortality -- Statistics, Government, Health care industry
Abstract

Objectives. This study identified factors contributing to the rapid decline in infant mortality in New York City from 1989 to 1992. Methods. Changes in birthweight distributions and in birthweight/age--, cause-, and birthweight/age/cause--specific mortality rates from 1988/89 (before the mortality reduction) to 1990/91 were identified from New York City vital statistics data. Results. Infant, neonatal, and postneonatal mortality of very-low-birthweight ([is less than] 1500 g) and normal-birthweight infants decreased significantly. The declines were almost entirely due to decreases in birthweight-specific mortality rates, rather than increased birthweights. All races experienced most of these reductions. Mortality decreased significantly for 6 causes of death. These decreases were consistent with the birthweight/ age groups experiencing mortality declines. Conclusions. Widespread, multiple perinatal and postnatal factors contributed to the decline in infant mortality. (Am J Public Health. 1998;88:816-820)

Published
1998

21. Maternal death inquiry and response in India - the impact of contextual factors on defining an optimal model to help meet critical maternal health policy objectives

Author

Kalter Henry D, Mohan Pavitra, Mishra Archana, Gaonkar Narayan, Biswas Akhil B, Balakrishnan Sudha, Arya Gaurav, and Babille Marzio

Subjects
Maternal mortality, health policy, verbal autopsy, death inquiry, community participation, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Maternal death reviews have been utilized in several countries as a means of identifying social and health care quality issues affecting maternal survival. From 2005 to 2009, a standardized community-based maternal death inquiry and response initiative was implemented in eight Indian states with the aim of addressing critical maternal health policy objectives. However, state-specific contextual factors strongly influenced the effort's success. This paper examines the impact and implications of the contextual factors. Methods We identified community, public health systems and governance related contextual factors thought to affect the implementation, utilization and up-scaling of the death inquiry process. Then, according to selected indicators, we documented the contextual factors' presence and their impact on the process' success in helping meet critical maternal health policy objectives in four districts of Rajasthan, Madhya Pradesh and West Bengal. Based on this assessment, we propose an optimal model for conducting community-based maternal death inquiries in India and similar settings. Results The death inquiry process led to increases in maternal death notification and investigation whether civil society or government took charge of these tasks, stimulated sharing of the findings in multiple settings and contributed to the development of numerous evidence-based local, district and statewide maternal health interventions. NGO inputs were essential where communities, public health systems and governance were weak and boosted effectiveness in stronger settings. Public health systems participation was enabled by responsive and accountable governance. Communities participated most successfully through India's established local governance Panchayat Raj Institutions. In one instance this led to the development of a multi-faceted intervention well-integrated at multiple levels. Conclusions The impact of several contextual factors on the death inquiry process could be discerned, and suggested an optimal implementation model. District and state government must mandate and support the process, while the district health office should provide overall coordination, manage the death inquiry data as part of its routine surveillance programme, and organize a highly participatory means, preferably within an existing structure, of sharing the findings with the community and developing evidence-based maternal health interventions. NGO assistance and the support of a development partner may be needed, particularly in locales with weaker communities, public health systems or governance.

Published
2011
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22. Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets

Author

Ohno Summer, Neal Bruce, Mehta Saurabh, Lucero Marilla, Lozano Rafael, Kumar Vishwajeet, Kumar Aarti, Kalter Henry, Joshi Rohina, Hernández Bernardo, Gómez Sara, Flaxman Abraham D, Fawzi Wafaie, Dutta Arup, Dhingra Usha, Das Vinita, Dantzer Emily, Dandona Lalit, Ali Said, Baqui Abdullah, Ahuja Ramesh, Black Robert, Lopez Alan D, Murray Christopher JL, Prasad Rajendra, Praveen Devarsetty, Premji Zul, Ramírez-Villalobos Dolores, Remolador Hazel, Riley Ian, Romero Minerva, Said Mwanaidi, Sanvictores Diozele, Sazawal Sunil, and Tallo Veronica

Subjects
Verbal autopsy, VA, validation, Philippines, Tanzania, India, Mexico, gold standard, cause of death, Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Verbal autopsy methods are critically important for evaluating the leading causes of death in populations without adequate vital registration systems. With a myriad of analytical and data collection approaches, it is essential to create a high quality validation dataset from different populations to evaluate comparative method performance and make recommendations for future verbal autopsy implementation. This study was undertaken to compile a set of strictly defined gold standard deaths for which verbal autopsies were collected to validate the accuracy of different methods of verbal autopsy cause of death assignment. Methods Data collection was implemented in six sites in four countries: Andhra Pradesh, India; Bohol, Philippines; Dar es Salaam, Tanzania; Mexico City, Mexico; Pemba Island, Tanzania; and Uttar Pradesh, India. The Population Health Metrics Research Consortium (PHMRC) developed stringent diagnostic criteria including laboratory, pathology, and medical imaging findings to identify gold standard deaths in health facilities as well as an enhanced verbal autopsy instrument based on World Health Organization (WHO) standards. A cause list was constructed based on the WHO Global Burden of Disease estimates of the leading causes of death, potential to identify unique signs and symptoms, and the likely existence of sufficient medical technology to ascertain gold standard cases. Blinded verbal autopsies were collected on all gold standard deaths. Results Over 12,000 verbal autopsies on deaths with gold standard diagnoses were collected (7,836 adults, 2,075 children, 1,629 neonates, and 1,002 stillbirths). Difficulties in finding sufficient cases to meet gold standard criteria as well as problems with misclassification for certain causes meant that the target list of causes for analysis was reduced to 34 for adults, 21 for children, and 10 for neonates, excluding stillbirths. To ensure strict independence for the validation of methods and assessment of comparative performance, 500 test-train datasets were created from the universe of cases, covering a range of cause-specific compositions. Conclusions This unique, robust validation dataset will allow scholars to evaluate the performance of different verbal autopsy analytic methods as well as instrument design. This dataset can be used to inform the implementation of verbal autopsies to more reliably ascertain cause of death in national health information systems.

Published
2011
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23. Social autopsy for maternal and child deaths: a comprehensive literature review to examine the concept and the development of the method

Author

Koffi Alain K, Babille Marzio, Salgado Rene, Kalter Henry D, and Black Robert E

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

Abstract "Social autopsy" refers to an interview process aimed at identifying social, behavioral, and health systems contributors to maternal and child deaths. It is often combined with a verbal autopsy interview to establish the biological cause of death. Two complementary purposes of social autopsy include providing population-level data to health care programmers and policymakers to utilize in developing more effective strategies for delivering maternal and child health care technologies, and increasing awareness of maternal and child death as preventable problems in order to empower communities to participate and engage health programs to increase their responsiveness and accountability. Through a comprehensive review of the literature, this paper examines the concept and development of social autopsy, focusing on the contributions of the Pathway Analysis format for child deaths and the Maternal and Perinatal Death Inquiry and Response program in India to social autopsy's success in meeting key objectives. The Pathway Analysis social autopsy format, based on the Pathway to Survival model designed to support the Integrated Management of Childhood Illness approach, was developed from 1995 to 2001 and has been utilized in studies in Asia, Africa, and Latin America. Adoption of the Pathway model has enriched the data gathered on care seeking for child illnesses and supported the development of demand- and supply-side interventions. The instrument has recently been updated to improve the assessment of neonatal deaths and is soon to be utilized in large-scale population-representative verbal/social autopsy studies in several African countries. Maternal death audit, starting with confidential inquiries into maternal deaths in Britain more than 50 years ago, is a long-accepted strategy for reducing maternal mortality. More recently, maternal social autopsy studies that supported health programming have been conducted in several developing countries. From 2005 to 2009, 10 high-mortality states in India conducted community-based maternal verbal/social autopsies with participatory data sharing with communities and health programs that resulted in the implementation of numerous data-driven maternal health interventions. Social autopsy is a powerful tool with the demonstrated ability to raise awareness, provide evidence in the form of actionable data and increase motivation at all levels to take appropriate and effective actions. Further development of the methodology along with standardized instruments and supporting tools are needed to promote its wide-scale adoption and use.

Published
2011
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26. Direct estimates of cause-specific mortality fractions and rates of under-five deaths in the northern and southern regions of Nigeria by verbal autopsy interview

Author

Adewemimo, Adeyinka, Kalter, Henry D., Perin, Jamie, Koffi, Alain K., Quinley, John, and Black, Robert E.

Subjects
Diarrhea, Male, Pulmonology, Death Rates, lcsh:Medicine, Nigeria, Surgical and Invasive Medical Procedures, Gastroenterology and Hepatology, Pathology and Laboratory Medicine, Geographical Locations, Signs and Symptoms, Diagnostic Medicine, Sepsis, Cause of Death, Medicine and Health Sciences, Parasitic Diseases, Humans, lcsh:Science, Child, Demography, lcsh:R, Infant, Newborn, Biology and Life Sciences, Neonates, Infant, Pneumonia, Tropical Diseases, Malaria, Child, Preschool, People and Places, Africa, Child Mortality, lcsh:Q, Female, Autopsy, Neonatal Sepsis, Research Article, Developmental Biology
Abstract

Nigeria's under-five mortality rate is the eighth highest in the world. Identifying the causes of under-five deaths is crucial to achieving Sustainable Development Goal 3 by 2030 and improving child survival. National and international bodies collaborated in this study to provide the first ever direct estimates of the causes of under-five mortality in Nigeria. Verbal autopsy interviews were conducted of a representative sample of 986 neonatal and 2,268 1-59 month old deaths from 2008 to 2013 identified by the 2013 Nigeria Demographic and Health Survey. Cause of death was assigned by physician coding and computerized expert algorithms arranged in a hierarchy. National and regional estimates of age distributions, mortality rates and cause proportions, and zonal- and age-specific mortality fractions and rates for leading causes of death were evaluated. More under-fives and 1-59 month olds in the South, respectively, died as neonates (N = 24.1%, S = 32.5%, p

Published
2017

27. Understanding Misclassification between Neonatal Deaths and Stillbirths : Empirical Evidence from Malawi (Volume 11, Number 12)

Author

Liu, Li, Kalter, Henry D., and Chu, Yue

Abstract

Improving the counting of stillbirths and neonatal deaths is important to tracking Sustainable Development Goal 3.2 and improving vital statistics in low- and middle-income countries (LMICs). However, the validity of self-reported stillbirths and neonatal deaths in surveys is often threatened by misclassification errors between the two birth outcomes. We assessed the extent and correlates of stillbirths being misclassified as neonatal deaths by comparing two recent and linked population surveys conducted in Malawi, one being a full birth history (FBH) survey, and the other a follow-up verbal/social autopsy (VASA) survey. We found that one-fifth of 365 neonatal deaths identified in the FBH survey were classified as stillbirths in the VASA survey. Neonatal deaths with signs of movements in the last few days before delivery reported were less likely to be misclassified stillbirths (OR = 0.08, p

Published
2016

33. Additional file 7: of Improving performance of the Tariff Method for assigning causes of death to verbal autopsies

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, James, Spencer, Flaxman, Abraham, Lozano, Rafael, Hernandez, Bernardo, Mooney, Meghan, Luning, Richard, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gomez, Sara, Hebe Gouda, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Seri Maraga, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsatee Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rarau, Patricia, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Vano, Miriam, Murray, Christopher, and Lopez, Alan

Abstract

Descriptive information comparing community VAs to gold standard validation data. (DOCX 17 kb)

Published
2015
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34. Additional file 6: of Improving performance of the Tariff Method for assigning causes of death to verbal autopsies

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, James, Spencer, Flaxman, Abraham, Lozano, Rafael, Hernandez, Bernardo, Mooney, Meghan, Luning, Richard, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gomez, Sara, Hebe Gouda, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Seri Maraga, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsatee Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rarau, Patricia, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Vano, Miriam, Murray, Christopher, and Lopez, Alan

Abstract

Chance-corrected concordance for 11 neonate causes. (DOCX 16 kb)

Published
2015
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35. Additional file 1: of Improving performance of the Tariff Method for assigning causes of death to verbal autopsies

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, James, Spencer, Flaxman, Abraham, Lozano, Rafael, Hernandez, Bernardo, Mooney, Meghan, Luning, Richard, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gomez, Sara, Hebe Gouda, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Seri Maraga, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsatee Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rarau, Patricia, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Vano, Miriam, Murray, Christopher, and Lopez, Alan

Abstract

List of causes of death of PHMRC. (DOCX 16 kb)

Published
2015
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36. Additional file 3: of Improving performance of the Tariff Method for assigning causes of death to verbal autopsies

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, James, Spencer, Flaxman, Abraham, Lozano, Rafael, Hernandez, Bernardo, Mooney, Meghan, Luning, Richard, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gomez, Sara, Hebe Gouda, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Seri Maraga, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsatee Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rarau, Patricia, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Vano, Miriam, Murray, Christopher, and Lopez, Alan

Abstract

Tariff and GBD weights for a 45-year-old male in the Philippines. (DOCX 15 kb)

Published
2015
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37. Additional file 2: of Improving performance of the Tariff Method for assigning causes of death to verbal autopsies

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, James, Spencer, Flaxman, Abraham, Lozano, Rafael, Hernandez, Bernardo, Mooney, Meghan, Luning, Richard, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gomez, Sara, Hebe Gouda, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Seri Maraga, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsatee Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rarau, Patricia, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Vano, Miriam, Murray, Christopher, and Lopez, Alan

Subjects
health care economics and organizations
Abstract

Cause of death exclusion criteria for Tariff 2.0. (DOCX 13 kb)

Published
2015
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38. Additional file 3: of A shortened verbal autopsy instrument for use in routine mortality surveillance systems

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, Flaxman, Abraham, Lozano, Rafael, Mooney, Meghan, Luning, Richard, Hernandez, Bernardo, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gamage, Saman, Gomez, Sara, Hensman, Dilip, James, Spencer, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsetty Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rasika Rampatige, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Nandalal Wijesekara, Murray, Christopher, and Lopez, Alan

Abstract

Shortened PHMRC VAI. (DOCX 133 kb)

Published
2015
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39. Additional file 4: of Improving performance of the Tariff Method for assigning causes of death to verbal autopsies

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, James, Spencer, Flaxman, Abraham, Lozano, Rafael, Hernandez, Bernardo, Mooney, Meghan, Luning, Richard, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gomez, Sara, Hebe Gouda, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Seri Maraga, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsatee Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rarau, Patricia, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Vano, Miriam, Murray, Christopher, and Lopez, Alan

Abstract

Flowchart for construction of train-test dataset from validation dataset. (DOCX 120 kb)

Published
2015
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40. Additional file 2: of A shortened verbal autopsy instrument for use in routine mortality surveillance systems

Author

Serina, Peter, Riley, Ian, Stewart, Andrea, Flaxman, Abraham, Lozano, Rafael, Mooney, Meghan, Luning, Richard, Hernandez, Bernardo, Black, Robert, Ahuja, Ramesh, Alam, Nurul, Alam, Sayed, Ali, Said, Atkinson, Charles, Baqui, Abdulla, Hafizur Chowdhury, Dandona, Lalit, Dandona, Rakhi, Dantzer, Emily, Darmstadt, Gary, Das, Vinita, Dhingra, Usha, Dutta, Arup, Wafaie Fawzi, Freeman, Michael, Gamage, Saman, Gomez, Sara, Hensman, Dilip, James, Spencer, Rohina Joshi, Kalter, Henry, Kumar, Aarti, Vishwajeet Kumar, Marilla Lucero, Saurabh Mehta, Neal, Bruce, Ohno, Summer, Phillips, David, Pierce, Kelsey, Prasad, Rajendra, Devarsetty Praveen, Zul Premji, Ramirez-Villalobos, Dolores, Rasika Rampatige, Remolador, Hazel, Romero, Minerva, Mwanaidi Said, Diozele Sanvictores, Sazawal, Sunil, Streatfield, Peter, Tallo, Veronica, Alireza Vadhatpour, Nandalal Wijesekara, Murray, Christopher, and Lopez, Alan

Abstract

Dataset composition. (DOCX 120 kb)

Published
2015
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46. A shortened verbal autopsy instrument for use in routine mortality surveillance systems

Author

Serina, Peter, primary, Riley, Ian, additional, Stewart, Andrea, additional, Flaxman, Abraham D., additional, Lozano, Rafael, additional, Mooney, Meghan D, additional, Luning, Richard, additional, Hernandez, Bernardo, additional, Black, Robert, additional, Ahuja, Ramesh, additional, Alam, Nurul, additional, Alam, Sayed Saidul, additional, Ali, Said Mohammed, additional, Atkinson, Charles, additional, Baqui, Abdulla H., additional, Chowdhury, Hafizur R., additional, Dandona, Lalit, additional, Dandona, Rakhi, additional, Dantzer, Emily, additional, Darmstadt, Gary L, additional, Das, Vinita, additional, Dhingra, Usha, additional, Dutta, Arup, additional, Fawzi, Wafaie, additional, Freeman, Michael, additional, Gamage, Saman, additional, Gomez, Sara, additional, Hensman, Dilip, additional, James, Spencer L., additional, Joshi, Rohina, additional, Kalter, Henry D., additional, Kumar, Aarti, additional, Kumar, Vishwajeet, additional, Lucero, Marilla, additional, Mehta, Saurabh, additional, Neal, Bruce, additional, Ohno, Summer Lockett, additional, Phillips, David, additional, Pierce, Kelsey, additional, Prasad, Rajendra, additional, Praveen, Devarsetty, additional, Premji, Zul, additional, Ramirez-Villalobos, Dolores, additional, Rampatige, Rasika, additional, Remolador, Hazel, additional, Romero, Minerva, additional, Said, Mwanaidi, additional, Sanvictores, Diozele, additional, Sazawal, Sunil, additional, Streatfield, Peter K., additional, Tallo, Veronica, additional, Vadhatpour, Alireza, additional, Wijesekara, Nandalal, additional, Murray, Christopher J. L., additional, and Lopez, Alan D., additional

Published
2015
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47. Improving performance of the Tariff Method for assigning causes of death to verbal autopsies

Author

Serina, Peter, primary, Riley, Ian, additional, Stewart, Andrea, additional, James, Spencer L., additional, Flaxman, Abraham D., additional, Lozano, Rafael, additional, Hernandez, Bernardo, additional, Mooney, Meghan D., additional, Luning, Richard, additional, Black, Robert, additional, Ahuja, Ramesh, additional, Alam, Nurul, additional, Alam, Sayed Saidul, additional, Ali, Said Mohammed, additional, Atkinson, Charles, additional, Baqui, Abdulla H., additional, Chowdhury, Hafizur R., additional, Dandona, Lalit, additional, Dandona, Rakhi, additional, Dantzer, Emily, additional, Darmstadt, Gary L., additional, Das, Vinita, additional, Dhingra, Usha, additional, Dutta, Arup, additional, Fawzi, Wafaie, additional, Freeman, Michael, additional, Gomez, Sara, additional, Gouda, Hebe N., additional, Joshi, Rohina, additional, Kalter, Henry D., additional, Kumar, Aarti, additional, Kumar, Vishwajeet, additional, Lucero, Marilla, additional, Maraga, Seri, additional, Mehta, Saurabh, additional, Neal, Bruce, additional, Ohno, Summer Lockett, additional, Phillips, David, additional, Pierce, Kelsey, additional, Prasad, Rajendra, additional, Praveen, Devarsatee, additional, Premji, Zul, additional, Ramirez-Villalobos, Dolores, additional, Rarau, Patricia, additional, Remolador, Hazel, additional, Romero, Minerva, additional, Said, Mwanaidi, additional, Sanvictores, Diozele, additional, Sazawal, Sunil, additional, Streatfield, Peter K., additional, Tallo, Veronica, additional, Vadhatpour, Alireza, additional, Vano, Miriam, additional, Murray, Christopher J. L., additional, and Lopez, Alan D., additional

Published
2015
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50. Using verbal autopsy to measure causes of death: the comparative performance of existing methods

Author

Murray, Christopher JL, primary, Lozano, Rafael, additional, Flaxman, Abraham D, additional, Serina, Peter, additional, Phillips, David, additional, Stewart, Andrea, additional, James, Spencer L, additional, Vahdatpour, Alireza, additional, Atkinson, Charles, additional, Freeman, Michael K, additional, Ohno, Summer Lockett, additional, Black, Robert, additional, Ali, Said Mohammed, additional, Baqui, Abdullah H, additional, Dandona, Lalit, additional, Dantzer, Emily, additional, Darmstadt, Gary L, additional, Das, Vinita, additional, Dhingra, Usha, additional, Dutta, Arup, additional, Fawzi, Wafaie, additional, Gómez, Sara, additional, Hernández, Bernardo, additional, Joshi, Rohina, additional, Kalter, Henry D, additional, Kumar, Aarti, additional, Kumar, Vishwajeet, additional, Lucero, Marilla, additional, Mehta, Saurabh, additional, Neal, Bruce, additional, Praveen, Devarsetty, additional, Premji, Zul, additional, Ramírez-Villalobos, Dolores, additional, Remolador, Hazel, additional, Riley, Ian, additional, Romero, Minerva, additional, Said, Mwanaidi, additional, Sanvictores, Diozele, additional, Sazawal, Sunil, additional, Tallo, Veronica, additional, and Lopez, Alan D, additional

Published
2014
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