32 results on '"Mochamah, George"'
Search Results
2. Population-Based Estimate of Melioidosis, Kenya
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Muthumbi, Esther M., Gordon, Nicola C., Mochamah, George, Nyongesa, Sammy, Odipo, Emily, Mwarumba, Salim, Mturi, Neema, Etyang, Anthony O., Dance, David A.B., Scott, J. Anthony G., and Morpeth, Susan C.
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Pseudomonas infections -- Risk factors -- Diagnosis ,Blood culture -- Usage ,Child health -- Analysis ,Travelers ,Bacteremia ,Health - Abstract
Burkholderia pseudomallei, the causative agent of melioidosis, is a gram-negative bacillus endemic particularly in northern Australia and South and Southeast Asia. Worldwide, B. pseudomallei causes [approximately equal to]165,000 cases of [...]
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- 2019
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3. The clinical epidemiology of sickle cell anemia In Africa
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Macharia, Alex W., Mochamah, George, Uyoga, Sophie, Ndila, Carolyne M., Nyutu, Gideon, Makale, Johnstone, Tendwa, Metrine, Nyatichi, Emily, Ojal, John, Shebe, Mohammed, Awuondo, Kennedy O., Mturi, Neema, Peshu, Norbert, Tsofa, Benjamin, Scott, J. Anthony G., Maitland, Kathryn, and Williams, Thomas N.
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- 2018
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4. Case Report: β-thalassemia major on the East African coast
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Macharia, Alexander W., primary, Mochamah, George, additional, Makale, Johnstone, additional, Howard, Thad, additional, Mturi, Neema, additional, Olupot-Olupot, Peter, additional, Färnert, Anna, additional, Ware, Russell E., additional, and Williams, Thomas N., additional
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- 2022
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5. Clustering of health risk behaviors among adolescents in Kilifi, Kenya, a rural Sub-Saharan African setting
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Ssewanyana, Derrick, primary, Abubakar, Amina, additional, Newton, Charles R. J. C., additional, Otiende, Mark, additional, Mochamah, George, additional, Nyundo, Christopher, additional, Walumbe, David, additional, Nyutu, Gideon, additional, Amadi, David, additional, Doyle, Aoife M., additional, Ross, David A., additional, Nyaguara, Amek, additional, Williams, Thomas N., additional, and Bauni, Evasius, additional
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- 2020
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6. β‐Thalassemia pathogenic variants in a cohort of children from the East African coast
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Macharia, Alexander W., primary, Mochamah, George, additional, Uyoga, Sophie, additional, Ndila, Carolyne M., additional, Nyutu, Gideon, additional, Tendwa, Metrine, additional, Nyatichi, Emily, additional, Makale, Johnstone, additional, Ware, Russell E., additional, and Williams, Thomas N., additional
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- 2020
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7. Linking health facility data from young adults aged 18-24 years to longitudinal demographic data: Experience from The Kilifi Health and Demographic Surveillance System
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Nyundo, Christopher, primary, Doyle, Aoife M., additional, Walumbe, David, additional, Otiende, Mark, additional, Kinuthia, Michael, additional, Amadi, David, additional, Jibendi, Boniface, additional, Mochamah, George, additional, Kihuha, Norbert, additional, Williams, Thomas N., additional, Ross, David A., additional, and Bauni, Evasius, additional
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- 2020
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8. Validating physician-certified verbal autopsy and probabilistic modeling (InterVA) approaches to verbal autopsy interpretation using hospital causes of adult deaths
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Tsofa Benjamin, Mutinda Maureen, Mambo Barbara, Ondieki Charles, Matata Lena, Nyutu Gideon, Mochamah George, Ndila Carolyne, Bauni Evasius, Maitha Eric, Etyang Anthony, and Williams Thomas N
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verbal autopsy ,InterVA ,validation ,cause-specific mortality fraction ,kappa ,ROC ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background The most common method for determining cause of death is certification by physicians based either on available medical records, or where such data are not available, through verbal autopsy (VA). The physician-certification approach is costly and inconvenient; however, recent work shows the potential of a computer-based probabilistic model (InterVA) to interpret verbal autopsy data in a more convenient, consistent, and rapid way. In this study we validate separately both physician-certified verbal autopsy (PCVA) and the InterVA probabilistic model against hospital cause of death (HCOD) in adults dying in a district hospital on the coast of Kenya. Methods Between March 2007 and June 2010, VA interviews were conducted for 145 adult deaths that occurred at Kilifi District Hospital. The VA data were reviewed by a physician and the cause of death established. A range of indicators (including age, gender, physical signs and symptoms, pregnancy status, medical history, and the circumstances of death) from the VA forms were included in the InterVA for interpretation. Cause-specific mortality fractions (CSMF), Cohen's kappa (κ) statistic, receiver operating characteristic (ROC) curves, sensitivity, specificity, and positive predictive values were applied to compare agreement between PCVA, InterVA, and HCOD. Results HCOD, InterVA, and PCVA yielded the same top five underlying causes of adult deaths. The InterVA overestimated tuberculosis as a cause of death compared to the HCOD. On the other hand, PCVA overestimated diabetes. Overall, CSMF for the five major cause groups by the InterVA, PCVA, and HCOD were 70%, 65%, and 60%, respectively. PCVA versus HCOD yielded a higher kappa value (κ = 0.52, 95% confidence interval [CI]: 0.48, 0.54) than the InterVA versus HCOD which yielded a kappa (κ) value of 0.32 (95% CI: 0.30, 0.38). Overall, (κ) agreement across the three methods was 0.41 (95% CI: 0.37, 0.48). The areas under the ROC curves were 0.82 for InterVA and 0.88 for PCVA. The observed sensitivities and specificities across the five major causes of death varied from 43% to 100% and 87% to 99%, respectively, for the InterVA/PCVA against the HCOD. Conclusion Both the InterVA and PCVA compared well with the HCOD at a population level and determined the top five underlying causes of death in the rural community of Kilifi. We hope that our study, albeit small, provides new and useful data that will stimulate further definitive work on methods of interpreting VA data.
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- 2011
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9. The clinical epidemiology of sickle cell anemia In Africa
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Macharia, Alex W., primary, Mochamah, George, additional, Uyoga, Sophie, additional, Ndila, Carolyne M., additional, Nyutu, Gideon, additional, Makale, Johnstone, additional, Tendwa, Metrine, additional, Nyatichi, Emily, additional, Ojal, John, additional, Shebe, Mohammed, additional, Awuondo, Kennedy O., additional, Mturi, Neema, additional, Peshu, Norbert, additional, Tsofa, Benjamin, additional, Scott, J. Anthony G., additional, Maitland, Kathryn, additional, and Williams, Thomas N., additional
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- 2017
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10. Psychometric evaluation of the Major Depression Inventory among young people living in Coastal Kenya
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Otiende, Mark, primary, Abubakar, Amina, additional, Mochamah, George, additional, Walumbe, David, additional, Nyundo, Christopher, additional, Doyle, Aoife M, additional, Ross, David A, additional, Newton, Charles R, additional, and Bauni, Evasius, additional
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- 2017
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11. Linking health facility data from young adults aged 18-24 years to longitudinal demographic data: Experience from The Kilifi Health and Demographic Surveillance System
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Nyundo, Christopher, primary, Doyle, Aoife M., additional, Walumbe, David, additional, Otiende, Mark, additional, Kinuthia, Michael, additional, Amadi, David, additional, Jibendi, Boniface, additional, Mochamah, George, additional, Kihuha, Norbert, additional, Williams, Thomas N., additional, Ross, David A., additional, and Bauni, Evasius, additional
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- 2017
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12. Realizing effectiveness across continents with hydroxyurea: Enrollment and baseline characteristics of the multicenter REACH study in Sub‐Saharan Africa.
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McGann, Patrick T., Williams, Thomas N., Olupot‐Olupot, Peter, Tomlinson, George A., Lane, Adam, Luís Reis da Fonseca, José, Kitenge, Robert, Mochamah, George, Wabwire, Ham, Stuber, Susan, Howard, Thad A., McElhinney, Kathryn, Aygun, Banu, Latham, Teresa, Santos, Brígida, Tshilolo, Léon, Ware, Russell E., and for the REACH Investigators
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- 2018
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13. Verbal autopsy as a tool for identifying children dying of sickle cell disease : a validation study conducted in Kilifi district, Kenya
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Ndila, Carolyne, Bauni, Evasius, Nyirongo, Vysaul, Mochamah, George, Makazi, Alex, Kosgei, Patrick, Nyutu, Gideon, Macharia, Alex, Kapesa, Sailoki, Byass, Peter, Williams, Thomas N., Ndila, Carolyne, Bauni, Evasius, Nyirongo, Vysaul, Mochamah, George, Makazi, Alex, Kosgei, Patrick, Nyutu, Gideon, Macharia, Alex, Kapesa, Sailoki, Byass, Peter, and Williams, Thomas N.
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Background: Sickle cell disease (SCD) is common in many parts of sub-Saharan Africa (SSA), where it is associated with high early mortality. In the absence of newborn screening, most deaths among children with SCD go unrecognized and unrecorded. As a result, SCD does not receive the attention it deserves as a leading cause of death among children in SSA. In the current study, we explored the potential utility of verbal autopsy (VA) as a tool for attributing underlying cause of death (COD) in children to SCD. Methods: We used the 2007 WHO Sample Vital Registration with Verbal Autopsy (SAWY) VA tool to determine COD among child residents of the Kilifi Health and Demographic Surveillance System (KHDSS), Kenya, who died between January 2008 and April 2011. VAs were coded both by physician review (physician coded verbal autopsy, PCVA) using COD categories based on the WHO International Classification of Diseases 10(th) Edition (ICD-10) and by using the InterVA-4 probabilistic model after extracting data according to the 2012 WHO VA standard. Both of these methods were validated against one of two gold standards: hospital ICD-10 physician-assigned COD for children who died in Kilifi District Hospital (KDH) and, where available, laboratory confirmed SCD status for those who died in the community. Results: Overall, 6% and 5% of deaths were attributed to SCD on the basis of PCVA and the InterVA-4 model, respectively. Of the total deaths, 22% occurred in hospital, where the agreement coefficient (AC(1)) for SCD between PCVA and hospital physician diagnosis was 95.5%, and agreement between InterVA-4 and hospital physician diagnosis was 96.9%. Confirmatory laboratory evidence of SCD status was available for 15% of deaths, in which the AC(1) against PCVA was 87.5%. Conclusions: Other recent studies and provisional data from this study, outlining the importance of SCD as a cause of death in children in many parts of the developing world, contributed to the inclusion of specific S
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- 2014
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14. Adult non-communicable disease mortality in Africa and Asia : evidence from INDEPTH Health and Demographic Surveillance System sites
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Streatfield, P. Kim, Khan, Wasif A., Bhuiya, Abbas, Hanifi, Syed M. A., Alam, Nurul, Bagagnan, Cheik H., Sié, Ali, Zabré, Pascal, Lankoandé, Bruno, Rossier, Clementine, Soura, Abdramane B., Bonfoh, Bassirou, Kone, Siaka, Ngoran, Eliezer K., Utzinger, Juerg, Haile, Fisaha, Melaku, Yohannes A., Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Ansah, Patrick, Debpuur, Cornelius, Oduro, Abraham, Wak, George, Adjei, Alexander, Gyapong, Margaret, Sarpong, Doris, Kant, Shashi, Misra, Puneet, Rai, Sanjay K., Juvekar, Sanjay, Lele, Pallavi, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N., Laserson, Kayla F., Nyaguara, Amek, Odhiambo, Frank O., Phillips-Howard, Penelope, Ezeh, Alex, Kyobutungi, Catherine, Oti, Samuel, Crampin, Amelia, Nyirenda, Moffat, Price, Alison, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Gómez-Olivé, F. Xavier, Kahn, Kathleen, Tollman, Stephen M., Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T. K., Bangha, Martin, Sankoh, Osman A., Byass, Peter, Streatfield, P. Kim, Khan, Wasif A., Bhuiya, Abbas, Hanifi, Syed M. A., Alam, Nurul, Bagagnan, Cheik H., Sié, Ali, Zabré, Pascal, Lankoandé, Bruno, Rossier, Clementine, Soura, Abdramane B., Bonfoh, Bassirou, Kone, Siaka, Ngoran, Eliezer K., Utzinger, Juerg, Haile, Fisaha, Melaku, Yohannes A., Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Ansah, Patrick, Debpuur, Cornelius, Oduro, Abraham, Wak, George, Adjei, Alexander, Gyapong, Margaret, Sarpong, Doris, Kant, Shashi, Misra, Puneet, Rai, Sanjay K., Juvekar, Sanjay, Lele, Pallavi, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N., Laserson, Kayla F., Nyaguara, Amek, Odhiambo, Frank O., Phillips-Howard, Penelope, Ezeh, Alex, Kyobutungi, Catherine, Oti, Samuel, Crampin, Amelia, Nyirenda, Moffat, Price, Alison, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Gómez-Olivé, F. Xavier, Kahn, Kathleen, Tollman, Stephen M., Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T. K., Bangha, Martin, Sankoh, Osman A., and Byass, Peter
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BACKGROUND: Mortality from non-communicable diseases (NCDs) is a major global issue, as other categories of mortality have diminished and life expectancy has increased. The World Health Organization's Member States have called for a 25% reduction in premature NCD mortality by 2025, which can only be achieved by substantial reductions in risk factors and improvements in the management of chronic conditions. A high burden of NCD mortality among much older people, who have survived other hazards, is inevitable. The INDEPTH Network collects detailed individual data within defined Health and Demographic Surveillance sites. By registering deaths and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. OBJECTIVE: To describe patterns of adult NCD mortality from INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories, with separate consideration of premature (15-64 years) and older (65+ years) NCD mortality. DESIGN: All adult deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates. RESULTS: A total of 80,726 adult (over 15 years) deaths were documented over 7,423,497 person-years of observation. NCDs were attributed as the cause for 35.6% of these deaths. Slightly less than half of adult NCD deaths occurred in the 15-64 age group. Detailed results are presented by age and sex for leading causes of NCD mortality. Per-site rates of NCD mortality were significantly correlated with rates of HIV/AIDS-related mortality. CONCLUSIONS: These findings present important evidence on the distribution of NCD mortality acros
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- 2014
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15. Mortality from external causes in Africa and Asia : evidence from INDEPTH Health and Demographic Surveillance System Sites
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Streatfield, P Kim, Khan, Wasif A, Bhuiya, Abbas, Hanifi, Syed M A, Alam, Nurul, Diboulo, Eric, Niamba, Louis, Sié, Ali, Lankoandé, Bruno, Millogo, Roch, Soura, Abdramane B, Bonfoh, Bassirou, Kone, Siaka, Ngoran, Eliezer K, Utzinger, Juerg, Ashebir, Yemane, Melaku, Yohannes A, Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Azongo, Daniel, Oduro, Abraham, Wak, George, Wontuo, Peter, Attaa-Pomaa, Mary, Gyapong, Margaret, Manyeh, Alfred K, Kant, Shashi, Misra, Puneet, Rai, Sanjay K, Juvekar, Sanjay, Patil, Rutuja, Wahab, Abdul, Wilopo, Siswanto, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N, Khaggayi, Christine, Nyaguara, Amek, Obor, David, Odhiambo, Frank O, Ezeh, Alex, Oti, Samuel, Wamukoya, Marylene, Chihana, Menard, Crampin, Amelia, Collinson, Mark A, Kabudula, Chodziwadziwa W, Wagner, Ryan, Herbst, Kobus, Mossong, Joël, Emina, Jacques B O, Sankoh, Osman A, Byass, Peter, Streatfield, P Kim, Khan, Wasif A, Bhuiya, Abbas, Hanifi, Syed M A, Alam, Nurul, Diboulo, Eric, Niamba, Louis, Sié, Ali, Lankoandé, Bruno, Millogo, Roch, Soura, Abdramane B, Bonfoh, Bassirou, Kone, Siaka, Ngoran, Eliezer K, Utzinger, Juerg, Ashebir, Yemane, Melaku, Yohannes A, Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Azongo, Daniel, Oduro, Abraham, Wak, George, Wontuo, Peter, Attaa-Pomaa, Mary, Gyapong, Margaret, Manyeh, Alfred K, Kant, Shashi, Misra, Puneet, Rai, Sanjay K, Juvekar, Sanjay, Patil, Rutuja, Wahab, Abdul, Wilopo, Siswanto, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N, Khaggayi, Christine, Nyaguara, Amek, Obor, David, Odhiambo, Frank O, Ezeh, Alex, Oti, Samuel, Wamukoya, Marylene, Chihana, Menard, Crampin, Amelia, Collinson, Mark A, Kabudula, Chodziwadziwa W, Wagner, Ryan, Herbst, Kobus, Mossong, Joël, Emina, Jacques B O, Sankoh, Osman A, and Byass, Peter
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BACKGROUND: Mortality from external causes, of all kinds, is an important component of overall mortality on a global basis. However, these deaths, like others in Africa and Asia, are often not counted or documented on an individual basis. Overviews of the state of external cause mortality in Africa and Asia are therefore based on uncertain information. The INDEPTH Network maintains longitudinal surveillance, including cause of death, at population sites across Africa and Asia, which offers important opportunities to document external cause mortality at the population level across a range of settings. OBJECTIVE: To describe patterns of mortality from external causes at INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories. DESIGN: All deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates. RESULTS: A total of 5,884 deaths due to external causes were documented over 11,828,253 person-years. Approximately one-quarter of those deaths were to children younger than 15 years. Causes of death were dominated by childhood drowning in Bangladesh, and by transport-related deaths and intentional injuries elsewhere. Detailed mortality rates are presented by cause of death, age group, and sex. CONCLUSIONS: The patterns of external cause mortality found here generally corresponded with expectations and other sources of information, but they fill some important gaps in population-based mortality data. They provide an important source of information to inform potentially preventive intervention designs.
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- 2014
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16. Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model
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Ndila, Carolyne, Bauni, Evasius, Mochamah, George, Nyirongo, Vysaul, Makazi, Alex, Kosgei, Patrick, Tsofa, Benjamin, Nyutu, Gideon, Etyang, Anthony, Byass, Peter, Williams, Thomas N, Ndila, Carolyne, Bauni, Evasius, Mochamah, George, Nyirongo, Vysaul, Makazi, Alex, Kosgei, Patrick, Tsofa, Benjamin, Nyutu, Gideon, Etyang, Anthony, Byass, Peter, and Williams, Thomas N
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BACKGROUND: The vast majority of deaths in the Kilifi study area are not recorded through official systems of vital registration. As a result, few data are available regarding causes of death in this population. OBJECTIVE: To describe the causes of death (CODs) among residents of all ages within the Kilifi Health and Demographic Surveillance System (KHDSS) on the coast of Kenya. DESIGN: Verbal autopsies (VAs) were conducted using the 2007 World Health Organization (WHO) standard VA questionnaires, and VA data further transformed to align with the 2012 WHO VA instrument. CODs were then determined using the InterVA-4 computer-based probabilistic model. RESULTS: Five thousand one hundred and eighty seven deaths were recorded between January 2008 and December 2011. VA interviews were completed for 4,460 (86%) deaths. Neonatal pneumonia and birth asphyxia were the main CODs in neonates; pneumonia and malaria were the main CODs among infants and children aged 1-4, respectively, while HIV/AIDS was the main COD for adult women of reproductive age. Road traffic accidents were more commonly observed among men than women. Stroke and neoplasms were common CODs among the elderly over the age of 65. CONCLUSIONS: We have established the main CODs among people of all ages within the area served by the KHDSS on the coast of Kenya using the 2007 WHO VA questionnaire coded using InterVA-4. We hope that our data will allow local health planners to estimate the burden of various diseases and to allocate their limited resources more appropriately.
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- 2014
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17. Pregnancy-related mortality in Africa and Asia : evidence from INDEPTH Health and Demographic Surveillance System sites
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Streatfield, P Kim, Alam, Nurul, Compaoré, Yacouba, Rossier, Clementine, Soura, Abdramane B, Bonfoh, Bassirou, Jaeger, Fabienne, Ngoran, Eliezer K, Utzinger, Juerg, Gomez, Pierre, Jasseh, Momodou, Ansah, Akosua, Debpuur, Cornelius, Oduro, Abraham, Williams, John, Addei, Sheila, Gyapong, Margaret, Kukula, Vida A, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N, Desai, Meghna, Moige, Hellen, Odhiambo, Frank O, Ogwang, Sheila, Beguy, Donatien, Ezeh, Alex, Oti, Samuel, Chihana, Menard, Crampin, Amelia, Price, Alison, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Collinson, Mark A, Kahn, Kathleen, Tollman, Stephen M, Herbst, Kobus, Mossong, Joël, Emina, Jacques B O, Sankoh, Osman A, Byass, Peter, Streatfield, P Kim, Alam, Nurul, Compaoré, Yacouba, Rossier, Clementine, Soura, Abdramane B, Bonfoh, Bassirou, Jaeger, Fabienne, Ngoran, Eliezer K, Utzinger, Juerg, Gomez, Pierre, Jasseh, Momodou, Ansah, Akosua, Debpuur, Cornelius, Oduro, Abraham, Williams, John, Addei, Sheila, Gyapong, Margaret, Kukula, Vida A, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N, Desai, Meghna, Moige, Hellen, Odhiambo, Frank O, Ogwang, Sheila, Beguy, Donatien, Ezeh, Alex, Oti, Samuel, Chihana, Menard, Crampin, Amelia, Price, Alison, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Collinson, Mark A, Kahn, Kathleen, Tollman, Stephen M, Herbst, Kobus, Mossong, Joël, Emina, Jacques B O, Sankoh, Osman A, and Byass, Peter
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BACKGROUND: Women continue to die in unacceptably large numbers around the world as a result of pregnancy, particularly in sub-Saharan Africa and Asia. Part of the problem is a lack of accurate, population-based information characterising the issues and informing solutions. Population surveillance sites, such as those operated within the INDEPTH Network, have the potential to contribute to bridging the information gaps. OBJECTIVE: To describe patterns of pregnancy-related mortality at INDEPTH Network Health and Demographic Surveillance System sites in sub-Saharan Africa and southeast Asia in terms of maternal mortality ratio (MMR) and cause-specific mortality rates. DESIGN: Data on individual deaths among women of reproductive age (WRA) (15-49) resident in INDEPTH sites were collated into a standardised database using the INDEPTH 2013 population standard, the WHO 2012 verbal autopsy (VA) standard, and the InterVA model for assigning cause of death. RESULTS: These analyses are based on reports from 14 INDEPTH sites, covering 14,198 deaths among WRA over 2,595,605 person-years observed. MMRs varied between 128 and 461 per 100,000 live births, while maternal mortality rates ranged from 0.11 to 0.74 per 1,000 person-years. Detailed rates per cause are tabulated, including analyses of direct maternal, indirect maternal, and incidental pregnancy-related deaths across the 14 sites. CONCLUSIONS: As expected, these findings confirmed unacceptably high continuing levels of maternal mortality. However, they also demonstrate the effectiveness of INDEPTH sites and of the VA methods applied to arrive at measurements of maternal mortality that are essential for planning effective solutions and monitoring programmatic impacts.
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- 2014
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18. Cause-specific childhood mortality in Africa and Asia : evidence from INDEPTH health and demographic surveillance system sites
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Streatfield, P. Kim, Khan, Wasif A., Bhuiya, Abbas, Hanifi, Syed M. A., Alam, Nurul, Ouattara, Mamadou, Sanou, Aboubakary, Sié, Ali, Lankoandé, Bruno, Soura, Abdramane B., Bonfoh, Bassirou, Jaeger, Fabienne, Ngoran, Eliezer K., Utzinger, Juerg, Abreha, Loko, Melaku, Yohannes A., Weldearegawi, Berhe, Ansah, Akosua, Hodgson, Abraham, Oduro, Abraham, Welaga, Paul, Gyapong, Margaret, Narh, Clement T., Narh-Bana, Solomon A., Kant, Shashi, Misra, Puneet, Rai, Sanjay K., Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N., Hamel, Mary J., Ngulukyo, Emmanuel, Odhiambo, Frank O., Sewe, Maquins, Beguy, Donatien, Ezeh, Alex, Oti, Samuel, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Delaunay, Valérie, Collinson, Mark A., Kabudula, Chodziwadziwa W., Kahn, Kathleen, Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T. K., Bangha, Martin, Sankoh, Osman A., Byass, Peter, Streatfield, P. Kim, Khan, Wasif A., Bhuiya, Abbas, Hanifi, Syed M. A., Alam, Nurul, Ouattara, Mamadou, Sanou, Aboubakary, Sié, Ali, Lankoandé, Bruno, Soura, Abdramane B., Bonfoh, Bassirou, Jaeger, Fabienne, Ngoran, Eliezer K., Utzinger, Juerg, Abreha, Loko, Melaku, Yohannes A., Weldearegawi, Berhe, Ansah, Akosua, Hodgson, Abraham, Oduro, Abraham, Welaga, Paul, Gyapong, Margaret, Narh, Clement T., Narh-Bana, Solomon A., Kant, Shashi, Misra, Puneet, Rai, Sanjay K., Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N., Hamel, Mary J., Ngulukyo, Emmanuel, Odhiambo, Frank O., Sewe, Maquins, Beguy, Donatien, Ezeh, Alex, Oti, Samuel, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Delaunay, Valérie, Collinson, Mark A., Kabudula, Chodziwadziwa W., Kahn, Kathleen, Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T. K., Bangha, Martin, Sankoh, Osman A., and Byass, Peter
- Abstract
BACKGROUND: Childhood mortality, particularly in the first 5 years of life, is a major global concern and the target of Millennium Development Goal 4. Although the majority of childhood deaths occur in Africa and Asia, these are also the regions where such deaths are least likely to be registered. The INDEPTH Network works to alleviate this problem by collating detailed individual data from defined Health and Demographic Surveillance sites. By registering deaths and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. OBJECTIVE: To present a description of cause-specific mortality rates and fractions over the first 15 years of life as documented by INDEPTH Network sites in sub-Saharan Africa and south-east Asia. DESIGN: All childhood deaths at INDEPTH sites are routinely registered and followed up with verbal autopsy (VA) interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provided person-time denominators for mortality rates. Cause-specific mortality rates and cause-specific mortality fractions are presented according to WHO 2012 VA cause groups for neonatal, infant, 1-4 year and 5-14 year age groups. RESULTS: A total of 28,751 childhood deaths were documented during 4,387,824 person-years over 18 sites. Infant mortality ranged from 11 to 78 per 1,000 live births, with under-5 mortality from 15 to 152 per 1,000 live births. Sites in Vietnam and Kenya accounted for the lowest and highest mortality rates reported. CONCLUSIONS: Many children continue to die from relatively preventable causes, particularly in areas with high rates of malaria and HIV/AIDS. Neonatal mortality persists at relatively high, and perhaps sometimes under-documented, rates. External causes of death are
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- 2014
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19. Malaria mortality in Africa and Asia : evidence from INDEPTH health and demographic surveillance system sites
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Streatfield, P. Kim, Khan, Wasif A., Bhuiya, Abbas, Hanifi, Syed M. A., Alam, Nurul, Diboulo, Eric, Sié, Ali, Yé, Maurice, Compaoré, Yacouba, Soura, Abdramane B., Bonfoh, Bassirou, Jaeger, Fabienne, Ngoran, Eliezer K., Utzinger, Juerg, Melaku, Yohannes A., Mulugeta, Afework, Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Hodgson, Abraham, Oduro, Abraham, Welaga, Paul, Williams, John, Awini, Elizabeth, Binka, Fred N., Gyapong, Margaret, Kant, Shashi, Misra, Puneet, Srivastava, Rahul, Chaudhary, Bharat, Juvekar, Sanjay, Wahab, Abdul, Wilopo, Siswanto, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N., Hamel, Mary J., Lindblade, Kim A., Odhiambo, Frank O., Slutsker, Laurence, Ezeh, Alex, Kyobutungi, Catherine, Wamukoya, Marylene, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Gómez-Olivé, F. Xavier, Kabudula, Chodziwadziwa W., Mee, Paul, Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T. K., Arthur, Samuelina S., Sankoh, Osman A., Tanner, Marcel, Byass, Peter, Streatfield, P. Kim, Khan, Wasif A., Bhuiya, Abbas, Hanifi, Syed M. A., Alam, Nurul, Diboulo, Eric, Sié, Ali, Yé, Maurice, Compaoré, Yacouba, Soura, Abdramane B., Bonfoh, Bassirou, Jaeger, Fabienne, Ngoran, Eliezer K., Utzinger, Juerg, Melaku, Yohannes A., Mulugeta, Afework, Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Hodgson, Abraham, Oduro, Abraham, Welaga, Paul, Williams, John, Awini, Elizabeth, Binka, Fred N., Gyapong, Margaret, Kant, Shashi, Misra, Puneet, Srivastava, Rahul, Chaudhary, Bharat, Juvekar, Sanjay, Wahab, Abdul, Wilopo, Siswanto, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N., Hamel, Mary J., Lindblade, Kim A., Odhiambo, Frank O., Slutsker, Laurence, Ezeh, Alex, Kyobutungi, Catherine, Wamukoya, Marylene, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Gómez-Olivé, F. Xavier, Kabudula, Chodziwadziwa W., Mee, Paul, Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T. K., Arthur, Samuelina S., Sankoh, Osman A., Tanner, Marcel, and Byass, Peter
- Abstract
BACKGROUND: Malaria continues to be a major cause of infectious disease mortality in tropical regions. However, deaths from malaria are most often not individually documented, and as a result overall understanding of malaria epidemiology is inadequate. INDEPTH Network members maintain population surveillance in Health and Demographic Surveillance System sites across Africa and Asia, in which individual deaths are followed up with verbal autopsies. OBJECTIVE: To present patterns of malaria mortality determined by verbal autopsy from INDEPTH sites across Africa and Asia, comparing these findings with other relevant information on malaria in the same regions. DESIGN: From a database covering 111,910 deaths over 12,204,043 person-years in 22 sites, in which verbal autopsy data were handled according to the WHO 2012 standard and processed using the InterVA-4 model, over 6,000 deaths were attributed to malaria. The overall period covered was 1992-2012, but two-thirds of the observations related to 2006-2012. These deaths were analysed by site, time period, age group and sex to investigate epidemiological differences in malaria mortality. RESULTS: Rates of malaria mortality varied by 1:10,000 across the sites, with generally low rates in Asia (one site recording no malaria deaths over 0.5 million person-years) and some of the highest rates in West Africa (Nouna, Burkina Faso: 2.47 per 1,000 person-years). Childhood malaria mortality rates were strongly correlated with Malaria Atlas Project estimates of Plasmodium falciparum parasite rates for the same locations. Adult malaria mortality rates, while lower than corresponding childhood rates, were strongly correlated with childhood rates at the site level. CONCLUSIONS: The wide variations observed in malaria mortality, which were nevertheless consistent with various other estimates, suggest that population-based registration of deaths using verbal autopsy is a useful approach to understanding the details of malaria epidemiolo
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- 2014
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20. HIV/AIDS-related mortality in Africa and Asia : evidence from INDEPTH health and demographic surveillance system sites
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Streatfield, P Kim, Khan, Wasif A, Bhuiya, Abbas, Hanifi, Syed M A, Alam, Nurul, Millogo, Ourohiré, Sié, Ali, Zabré, Pascal, Rossier, Clementine, Soura, Abdramane B, Bonfoh, Bassirou, Kone, Siaka, Ngoran, Eliezer K, Utzinger, Juerg, Abera, Semaw F, Melaku, Yohannes A, Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Ansah, Patrick, Azongo, Daniel, Kondayire, Felix, Oduro, Abraham, Amu, Alberta, Gyapong, Margaret, Kwarteng, Odette, Kant, Shashi, Pandav, Chandrakant S, Rai, Sanjay K, Juvekar, Sanjay, Muralidharan, Veena, Wahab, Abdul, Wilopo, Siswanto, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N, Khagayi, Sammy, Laserson, Kayla F, Nyaguara, Amek, Van Eijk, Anna M, Ezeh, Alex, Kyobutungi, Catherine, Wamukoya, Marylene, Chihana, Menard, Crampin, Amelia, Price, Alison, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Gómez-Olivé, F Xavier, Mee, Paul, Tollman, Stephen M, Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T K, Arthur, Samuelina S, Sankoh, Osman A, Byass, Peter, Streatfield, P Kim, Khan, Wasif A, Bhuiya, Abbas, Hanifi, Syed M A, Alam, Nurul, Millogo, Ourohiré, Sié, Ali, Zabré, Pascal, Rossier, Clementine, Soura, Abdramane B, Bonfoh, Bassirou, Kone, Siaka, Ngoran, Eliezer K, Utzinger, Juerg, Abera, Semaw F, Melaku, Yohannes A, Weldearegawi, Berhe, Gomez, Pierre, Jasseh, Momodou, Ansah, Patrick, Azongo, Daniel, Kondayire, Felix, Oduro, Abraham, Amu, Alberta, Gyapong, Margaret, Kwarteng, Odette, Kant, Shashi, Pandav, Chandrakant S, Rai, Sanjay K, Juvekar, Sanjay, Muralidharan, Veena, Wahab, Abdul, Wilopo, Siswanto, Bauni, Evasius, Mochamah, George, Ndila, Carolyne, Williams, Thomas N, Khagayi, Sammy, Laserson, Kayla F, Nyaguara, Amek, Van Eijk, Anna M, Ezeh, Alex, Kyobutungi, Catherine, Wamukoya, Marylene, Chihana, Menard, Crampin, Amelia, Price, Alison, Delaunay, Valérie, Diallo, Aldiouma, Douillot, Laetitia, Sokhna, Cheikh, Gómez-Olivé, F Xavier, Mee, Paul, Tollman, Stephen M, Herbst, Kobus, Mossong, Joël, Chuc, Nguyen T K, Arthur, Samuelina S, Sankoh, Osman A, and Byass, Peter
- Abstract
BACKGROUND: As the HIV/AIDS pandemic has evolved over recent decades, Africa has been the most affected region, even though a large proportion of HIV/AIDS deaths have not been documented at the individual level. Systematic application of verbal autopsy (VA) methods in defined populations provides an opportunity to assess the mortality burden of the pandemic from individual data. OBJECTIVE: To present standardised comparisons of HIV/AIDS-related mortality at sites across Africa and Asia, including closely related causes of death such as pulmonary tuberculosis (PTB) and pneumonia. DESIGN: Deaths related to HIV/AIDS were extracted from individual demographic and VA data from 22 INDEPTH sites across Africa and Asia. VA data were standardised to WHO 2012 standard causes of death assigned using the InterVA-4 model. Between-site comparisons of mortality rates were standardised using the INDEPTH 2013 standard population. RESULTS: The dataset covered a total of 10,773 deaths attributed to HIV/AIDS, observed over 12,204,043 person-years. HIV/AIDS-related mortality fractions and mortality rates varied widely across Africa and Asia, with highest burdens in eastern and southern Africa, and lowest burdens in Asia. There was evidence of rapidly declining rates at the sites with the heaviest burdens. HIV/AIDS mortality was also strongly related to PTB mortality. On a country basis, there were strong similarities between HIV/AIDS mortality rates at INDEPTH sites and those derived from modelled estimates. CONCLUSIONS: Measuring HIV/AIDS-related mortality continues to be a challenging issue, all the more so as anti-retroviral treatment programmes alleviate mortality risks. The congruence between these results and other estimates adds plausibility to both approaches. These data, covering some of the highest mortality observed during the pandemic, will be an important baseline for understanding the future decline of HIV/AIDS.
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- 2014
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21. Pregnancy-related mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites
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Streatfield, P. Kim, primary, Alam, Nurul, additional, Compaoré, Yacouba, additional, Rossier, Clementine, additional, Soura, Abdramane B., additional, Bonfoh, Bassirou, additional, Jaeger, Fabienne, additional, Ngoran, Eliezer K., additional, Utzinger, Juerg, additional, Gomez, Pierre, additional, Jasseh, Momodou, additional, Ansah, Akosua, additional, Debpuur, Cornelius, additional, Oduro, Abraham, additional, Williams, John, additional, Addei, Sheila, additional, Gyapong, Margaret, additional, Kukula, Vida A., additional, Bauni, Evasius, additional, Mochamah, George, additional, Ndila, Carolyne, additional, Williams, Thomas N., additional, Desai, Meghna, additional, Moige, Hellen, additional, Odhiambo, Frank O., additional, Ogwang, Sheila, additional, Beguy, Donatien, additional, Ezeh, Alex, additional, Oti, Samuel, additional, Chihana, Menard, additional, Crampin, Amelia, additional, Price, Alison, additional, Delaunay, Valérie, additional, Diallo, Aldiouma, additional, Douillot, Laetitia, additional, Sokhna, Cheikh, additional, Collinson, Mark A., additional, Kahn, Kathleen, additional, Tollman, Stephen M., additional, Herbst, Kobus, additional, Mossong, Joël, additional, Emina, Jacques B.O., additional, Sankoh, Osman A., additional, and Byass, Peter, additional
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- 2014
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22. Adult non-communicable disease mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites
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Kim Streatfield, P., primary, Khan, Wasif A., additional, Bhuiya, Abbas, additional, Hanifi, Syed M.A., additional, Alam, Nurul, additional, Bagagnan, Cheik H., additional, Sié, Ali, additional, Zabré, Pascal, additional, Lankoandé, Bruno, additional, Rossier, Clementine, additional, Soura, Abdramane B., additional, Bonfoh, Bassirou, additional, Kone, Siaka, additional, Ngoran, Eliezer K., additional, Utzinger, Juerg, additional, Haile, Fisaha, additional, Melaku, Yohannes A., additional, Weldearegawi, Berhe, additional, Gomez, Pierre, additional, Jasseh, Momodou, additional, Ansah, Patrick, additional, Debpuur, Cornelius, additional, Oduro, Abraham, additional, Wak, George, additional, Adjei, Alexander, additional, Gyapong, Margaret, additional, Sarpong, Doris, additional, Kant, Shashi, additional, Misra, Puneet, additional, Rai, Sanjay K., additional, Juvekar, Sanjay, additional, Lele, Pallavi, additional, Bauni, Evasius, additional, Mochamah, George, additional, Ndila, Carolyne, additional, Williams, Thomas N., additional, Laserson, Kayla F., additional, Nyaguara, Amek, additional, Odhiambo, Frank O., additional, Phillips-Howard, Penelope, additional, Ezeh, Alex, additional, Kyobutungi, Catherine, additional, Oti, Samuel, additional, Crampin, Amelia, additional, Nyirenda, Moffat, additional, Price, Alison, additional, Delaunay, Valérie, additional, Diallo, Aldiouma, additional, Douillot, Laetitia, additional, Sokhna, Cheikh, additional, Xavier Gómez-Olivé, F., additional, Kahn, Kathleen, additional, Tollman, Stephen M., additional, Herbst, Kobus, additional, Mossong, Joël, additional, Chuc, Nguyen T.K., additional, Bangha, Martin, additional, Sankoh, Osman A., additional, and Byass, Peter, additional
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- 2014
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23. Mortality from external causes in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System Sites
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Streatfield, P. Kim, primary, Khan, Wasif A., additional, Bhuiya, Abbas, additional, Hanifi, Syed M.A., additional, Alam, Nurul, additional, Diboulo, Eric, additional, Niamba, Louis, additional, Sié, Ali, additional, Lankoandé, Bruno, additional, Millogo, Roch, additional, Soura, Abdramane B., additional, Bonfoh, Bassirou, additional, Kone, Siaka, additional, Ngoran, Eliezer K., additional, Utzinger, Juerg, additional, Ashebir, Yemane, additional, Melaku, Yohannes A., additional, Weldearegawi, Berhe, additional, Gomez, Pierre, additional, Jasseh, Momodou, additional, Azongo, Daniel, additional, Oduro, Abraham, additional, Wak, George, additional, Wontuo, Peter, additional, Attaa-Pomaa, Mary, additional, Gyapong, Margaret, additional, Manyeh, Alfred K., additional, Kant, Shashi, additional, Misra, Puneet, additional, Rai, Sanjay K., additional, Juvekar, Sanjay, additional, Patil, Rutuja, additional, Wahab, Abdul, additional, Wilopo, Siswanto, additional, Bauni, Evasius, additional, Mochamah, George, additional, Ndila, Carolyne, additional, Williams, Thomas N., additional, Khaggayi, Christine, additional, Nyaguara, Amek, additional, Obor, David, additional, Odhiambo, Frank O., additional, Ezeh, Alex, additional, Oti, Samuel, additional, Wamukoya, Marylene, additional, Chihana, Menard, additional, Crampin, Amelia, additional, Collinson, Mark A., additional, Kabudula, Chodziwadziwa W., additional, Wagner, Ryan, additional, Herbst, Kobus, additional, Mossong, Joël, additional, Emina, Jacques B.O., additional, Sankoh, Osman A., additional, and Byass, Peter, additional
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- 2014
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24. Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites
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Streatfield, P. Kim, primary, Khan, Wasif A., additional, Bhuiya, Abbas, additional, Hanifi, Syed M.A., additional, Alam, Nurul, additional, Diboulo, Eric, additional, Sié, Ali, additional, Yé, Maurice, additional, Compaoré, Yacouba, additional, Soura, Abdramane B., additional, Bonfoh, Bassirou, additional, Jaeger, Fabienne, additional, Ngoran, Eliezer K., additional, Utzinger, Juerg, additional, Melaku, Yohannes A., additional, Mulugeta, Afework, additional, Weldearegawi, Berhe, additional, Gomez, Pierre, additional, Jasseh, Momodou, additional, Hodgson, Abraham, additional, Oduro, Abraham, additional, Welaga, Paul, additional, Williams, John, additional, Awini, Elizabeth, additional, Binka, Fred N., additional, Gyapong, Margaret, additional, Kant, Shashi, additional, Misra, Puneet, additional, Srivastava, Rahul, additional, Chaudhary, Bharat, additional, Juvekar, Sanjay, additional, Wahab, Abdul, additional, Wilopo, Siswanto, additional, Bauni, Evasius, additional, Mochamah, George, additional, Ndila, Carolyne, additional, Williams, Thomas N., additional, Hamel, Mary J., additional, Lindblade, Kim A., additional, Odhiambo, Frank O., additional, Slutsker, Laurence, additional, Ezeh, Alex, additional, Kyobutungi, Catherine, additional, Wamukoya, Marylene, additional, Delaunay, Valérie, additional, Diallo, Aldiouma, additional, Douillot, Laetitia, additional, Sokhna, Cheikh, additional, Xavier Gómez-Olivé, F., additional, Kabudula, Chodziwadziwa W., additional, Mee, Paul, additional, Herbst, Kobus, additional, Mossong, Joël, additional, Chuc, Nguyen T.K., additional, Arthur, Samuelina S., additional, Sankoh, Osman A., additional, Tanner, Marcel, additional, and Byass, Peter, additional
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- 2014
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25. HIV/AIDS-related mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites
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Streatfield, P. Kim, primary, Khan, Wasif A., additional, Bhuiya, Abbas, additional, Hanifi, Syed M.A., additional, Alam, Nurul, additional, Millogo, Ourohiré, additional, Sié, Ali, additional, Zabré, Pascal, additional, Rossier, Clementine, additional, Soura, Abdramane B., additional, Bonfoh, Bassirou, additional, Kone, Siaka, additional, Ngoran, Eliezer K., additional, Utzinger, Juerg, additional, Abera, Semaw F., additional, Melaku, Yohannes A., additional, Weldearegawi, Berhe, additional, Gomez, Pierre, additional, Jasseh, Momodou, additional, Ansah, Patrick, additional, Azongo, Daniel, additional, Kondayire, Felix, additional, Oduro, Abraham, additional, Amu, Alberta, additional, Gyapong, Margaret, additional, Kwarteng, Odette, additional, Kant, Shashi, additional, Pandav, Chandrakant S., additional, Rai, Sanjay K., additional, Juvekar, Sanjay, additional, Muralidharan, Veena, additional, Wahab, Abdul, additional, Wilopo, Siswanto, additional, Bauni, Evasius, additional, Mochamah, George, additional, Ndila, Carolyne, additional, Williams, Thomas N., additional, Khagayi, Sammy, additional, Laserson, Kayla F., additional, Nyaguara, Amek, additional, Van Eijk, Anna M., additional, Ezeh, Alex, additional, Kyobutungi, Catherine, additional, Wamukoya, Marylene, additional, Chihana, Menard, additional, Crampin, Amelia, additional, Price, Alison, additional, Delaunay, Valérie, additional, Diallo, Aldiouma, additional, Douillot, Laetitia, additional, Sokhna, Cheikh, additional, Xavier Gómez-Olivé, F., additional, Mee, Paul, additional, Tollman, Stephen M., additional, Herbst, Kobus, additional, Mossong, Joël, additional, Chuc, Nguyen T.K., additional, Arthur, Samuelina S., additional, Sankoh, Osman A., additional, and Byass, Peter, additional
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- 2014
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26. Cause-specific childhood mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites
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Streatfield, P. Kim, primary, Khan, Wasif A., additional, Bhuiya, Abbas, additional, Hanifi, Syed M.A., additional, Alam, Nurul, additional, Ouattara, Mamadou, additional, Sanou, Aboubakary, additional, Sié, Ali, additional, Lankoandé, Bruno, additional, Soura, Abdramane B., additional, Bonfoh, Bassirou, additional, Jaeger, Fabienne, additional, Ngoran, Eliezer K., additional, Utzinger, Juerg, additional, Abreha, Loko, additional, Melaku, Yohannes A., additional, Weldearegawi, Berhe, additional, Ansah, Akosua, additional, Hodgson, Abraham, additional, Oduro, Abraham, additional, Welaga, Paul, additional, Gyapong, Margaret, additional, Narh, Clement T., additional, Narh-Bana, Solomon A., additional, Kant, Shashi, additional, Misra, Puneet, additional, Rai, Sanjay K., additional, Bauni, Evasius, additional, Mochamah, George, additional, Ndila, Carolyne, additional, Williams, Thomas N., additional, Hamel, Mary J., additional, Ngulukyo, Emmanuel, additional, Odhiambo, Frank O., additional, Sewe, Maquins, additional, Beguy, Donatien, additional, Ezeh, Alex, additional, Oti, Samuel, additional, Diallo, Aldiouma, additional, Douillot, Laetitia, additional, Sokhna, Cheikh, additional, Delaunay, Valérie, additional, Collinson, Mark A., additional, Kabudula, Chodziwadziwa W., additional, Kahn, Kathleen, additional, Herbst, Kobus, additional, Mossong, Joël, additional, Chuc, Nguyen T.K., additional, Bangha, Martin, additional, Sankoh, Osman A., additional, and Byass, Peter, additional
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- 2014
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27. Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model
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Ndila, Carolyne, primary, Bauni, Evasius, additional, Mochamah, George, additional, Nyirongo, Vysaul, additional, Makazi, Alex, additional, Kosgei, Patrick, additional, Tsofa, Benjamin, additional, Nyutu, Gideon, additional, Etyang, Anthony, additional, Byass, Peter, additional, and Williams, Thomas N., additional
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- 2014
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28. Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya
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Ndila, Carolyne, primary, Bauni, Evasius, additional, Nyirongo, Vysaul, additional, Mochamah, George, additional, Makazi, Alex, additional, Kosgei, Patrick, additional, Nyutu, Gideon, additional, Macharia, Alex, additional, Kapesa, Sailoki, additional, Byass, Peter, additional, and Williams, Thomas N, additional
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- 2014
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29. Validating physician-certified verbal autopsy and probabilistic modeling (InterVA) approaches to verbal autopsy interpretation using hospital causes of adult deaths
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Bauni, Evasius, primary, Ndila, Carolyne, additional, Mochamah, George, additional, Nyutu, Gideon, additional, Matata, Lena, additional, Ondieki, Charles, additional, Mambo, Barbara, additional, Mutinda, Maureen, additional, Tsofa, Benjamin, additional, Maitha, Eric, additional, Etyang, Anthony, additional, and Williams, Thomas N, additional
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- 2011
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30. Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model.
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Makazi, Alex, Kosgei, Patrick, Tsofa, Benjamin, Etyang, Anthony, Ndila, Carolyne, Bauni, Evasius, Mochamah, George, Nyutu, Gideon, Williams, Thomas N., Nyirongo, Vysaul, and Byass, Peter
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PNEUMONIA-related mortality ,STROKE-related mortality ,AGE distribution ,ASPHYXIA neonatorum ,AUTOPSY ,CAUSES of death ,HIV infections ,INTERVIEWING ,MALARIA ,PUBLIC health surveillance ,QUESTIONNAIRES ,SEX distribution ,TRAFFIC accidents ,TUMORS ,DATA analysis software ,CHILDREN ,OLD age - Abstract
Background: The vast majority of deaths in the Kilifi study area are not recorded through official systems of vital registration. As a result, few data are available regarding causes of death in this population. Objective: To describe the causes of death (CODs) among residents of all ages within the Kilifi Health and Demographic Surveillance System (KHDSS) on the coast of Kenya. Design: Verbal autopsies (VAs) were conducted using the 2007 World Health Organization (WHO) standard VA questionnaires, and VA data further transformed to align with the 2012 WHOVA instrument. CODs were then determined using the InterVA-4 computer-based probabilistic model. Results: Five thousand one hundred and eighty seven deaths were recorded between January 2008 and December 2011. VA interviews were completed for 4,460 (86%) deaths. Neonatal pneumonia and birth asphyxia were the main CODs in neonates; pneumonia and malaria were the main CODs among infants and children aged 1-4, respectively, while HIV/AIDS was the main COD for adult women of reproductive age. Road traffic accidents were more commonly observed among men than women. Stroke and neoplasms were common CODs among the elderly over the age of 65. Conclusions: We have established the main CODs among people of all ages within the area served by the KHDSS on the coast of Kenya using the 2007 WHO VA questionnaire coded using InterVA-4. We hope that our data will allow local health planners to estimate the burden of various diseases and to allocate their limited resources more appropriately. [ABSTRACT FROM AUTHOR]
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- 2014
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31. Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya
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Ndila, Carolyne, Bauni, Evasius, Nyirongo, Vysaul, Mochamah, George, Makazi, Alex, Kosgei, Patrick, Nyutu, Gideon, Macharia, Alex, Kapesa, Sailoki, Byass, Peter, and Williams, Thomas N.
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Agreement coefficient ,Child mortality ,Medicine(all) ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Sickle cell disease ,Public Health, Global Health, Social Medicine and Epidemiology ,Verbal autopsy ,Kenya - Abstract
Background: Sickle cell disease (SCD) is common in many parts of sub-Saharan Africa (SSA), where it is associated with high early mortality. In the absence of newborn screening, most deaths among children with SCD go unrecognized and unrecorded. As a result, SCD does not receive the attention it deserves as a leading cause of death among children in SSA. In the current study, we explored the potential utility of verbal autopsy (VA) as a tool for attributing underlying cause of death (COD) in children to SCD. Methods: We used the 2007 WHO Sample Vital Registration with Verbal Autopsy (SAWY) VA tool to determine COD among child residents of the Kilifi Health and Demographic Surveillance System (KHDSS), Kenya, who died between January 2008 and April 2011. VAs were coded both by physician review (physician coded verbal autopsy, PCVA) using COD categories based on the WHO International Classification of Diseases 10(th) Edition (ICD-10) and by using the InterVA-4 probabilistic model after extracting data according to the 2012 WHO VA standard. Both of these methods were validated against one of two gold standards: hospital ICD-10 physician-assigned COD for children who died in Kilifi District Hospital (KDH) and, where available, laboratory confirmed SCD status for those who died in the community. Results: Overall, 6% and 5% of deaths were attributed to SCD on the basis of PCVA and the InterVA-4 model, respectively. Of the total deaths, 22% occurred in hospital, where the agreement coefficient (AC(1)) for SCD between PCVA and hospital physician diagnosis was 95.5%, and agreement between InterVA-4 and hospital physician diagnosis was 96.9%. Confirmatory laboratory evidence of SCD status was available for 15% of deaths, in which the AC(1) against PCVA was 87.5%. Conclusions: Other recent studies and provisional data from this study, outlining the importance of SCD as a cause of death in children in many parts of the developing world, contributed to the inclusion of specific SCD questions in the 2012 version of the WHO VA instruments, and a specific code for SCD has now been included in the WHO and InterVA-4 COD listings. With these modifications, VA may provide a useful approach to quantifying the contribution of SCD to childhood mortality in rural African communities. Further studies will be needed to evaluate the generalizability of our findings beyond our local context.
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32. Adult non-communicable disease mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites.
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Streatfield PK, Khan WA, Bhuiya A, Hanifi SM, Alam N, Bagagnan CH, Sié A, Zabré P, Lankoandé B, Rossier C, Soura AB, Bonfoh B, Kone S, Ngoran EK, Utzinger J, Haile F, Melaku YA, Weldearegawi B, Gomez P, Jasseh M, Ansah P, Debpuur C, Oduro A, Wak G, Adjei A, Gyapong M, Sarpong D, Kant S, Misra P, Rai SK, Juvekar S, Lele P, Bauni E, Mochamah G, Ndila C, Williams TN, Laserson KF, Nyaguara A, Odhiambo FO, Phillips-Howard P, Ezeh A, Kyobutungi C, Oti S, Crampin A, Nyirenda M, Price A, Delaunay V, Diallo A, Douillot L, Sokhna C, Gómez-Olivé FX, Kahn K, Tollman SM, Herbst K, Mossong J, Chuc NT, Bangha M, Sankoh OA, and Byass P
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- Adolescent, Adult, Africa epidemiology, Aged, Asia epidemiology, Autopsy, Databases, Factual, Demography, Female, Humans, Male, Middle Aged, Population Surveillance, Risk Factors, Cause of Death, Data Collection standards, Mortality trends
- Abstract
Background: Mortality from non-communicable diseases (NCDs) is a major global issue, as other categories of mortality have diminished and life expectancy has increased. The World Health Organization's Member States have called for a 25% reduction in premature NCD mortality by 2025, which can only be achieved by substantial reductions in risk factors and improvements in the management of chronic conditions. A high burden of NCD mortality among much older people, who have survived other hazards, is inevitable. The INDEPTH Network collects detailed individual data within defined Health and Demographic Surveillance sites. By registering deaths and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available., Objective: To describe patterns of adult NCD mortality from INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories, with separate consideration of premature (15-64 years) and older (65+ years) NCD mortality., Design: All adult deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates., Results: A total of 80,726 adult (over 15 years) deaths were documented over 7,423,497 person-years of observation. NCDs were attributed as the cause for 35.6% of these deaths. Slightly less than half of adult NCD deaths occurred in the 15-64 age group. Detailed results are presented by age and sex for leading causes of NCD mortality. Per-site rates of NCD mortality were significantly correlated with rates of HIV/AIDS-related mortality., Conclusions: These findings present important evidence on the distribution of NCD mortality across a wide range of African and Asian settings. This comes against a background of global concern about the burden of NCD mortality, especially among adults aged under 70, and provides an important baseline for future work.
- Published
- 2014
- Full Text
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