User menu

True malaria prevalence in children under five: Bayesian estimation using data of malaria household surveys from three sub-Saharan countries

Bibliographic reference Mfueni, Elvire ; Devleesschauwer, Brecht ; Rosas-Aguirre, Angel ; Van Malderen, Carine ; Brandt, Patrick T. ; et. al. True malaria prevalence in children under five: Bayesian estimation using data of malaria household surveys from three sub-Saharan countries. In: Malaria Journal, Vol. 17, no. 1, p. 7p. (2018)
Permanent URL
  1. WHO. World Malaria Report 2016. Geneva: World Health Organization; 2016.
  2. Snow Robert W, Sixty years trying to define the malaria burden in Africa: have we made any progress?, 10.1186/s12916-014-0227-x
  3. Bhatt S., Weiss D. J., Cameron E., Bisanzio D., Mappin B., Dalrymple U., Battle K. E., Moyes C. L., Henry A., Eckhoff P. A., Wenger E. A., Briët O., Penny M. A., Smith T. A., Bennett A., Yukich J., Eisele T. P., Griffin J. T., Fergus C. A., Lynch M., Lindgren F., Cohen J. M., Murray C. L. J., Smith D. L., Hay S. I., Cibulskis R. E., Gething P. W., The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015, 10.1038/nature15535
  4. DHS, MEASURE. Household Survey Indicators for Malaria Control — MEASURE Evaluation. DHS, MEASURE; 2013. Accessed 23 Apr 2017.
  5. Nankabirwa Joaniter I., Yeka Adoke, Arinaitwe Emmanuel, Kigozi Ruth, Drakeley Chris, Kamya Moses R., Greenhouse Bryan, Rosenthal Philip J., Dorsey Grant, Staedke Sarah G., Estimating malaria parasite prevalence from community surveys in Uganda: a comparison of microscopy, rapid diagnostic tests and polymerase chain reaction, 10.1186/s12936-015-1056-x
  6. CHIODINI PETER L., Malaria diagnostics: now and the future, 10.1017/s0031182014001371
  7. Wongsrichanalai C, Barcus MJ, Muth S, Sutamihardja A, Wernsdorfer WH. A review of malaria diagnostic tools: microscopy and rapid diagnostic test (RDT). Am J Trop Med Hyg. 2007;77:119–27.
  8. Murray C. K., Gasser R. A., Magill A. J., Miller R. S., Update on Rapid Diagnostic Testing for Malaria, 10.1128/cmr.00035-07
  9. Rosenthal Philip J., How Do We Best Diagnose Malaria in Africa?, 10.4269/ajtmh.2012.11-0619
  10. WHO. Malaria rapid diagnostic test performance: results of WHO product testing of malaria RDTs: round 6 (2014–2015). Geneva: World Health Organization. Accessed 23 Apr 2017.
  11. D'Acremont Valérie, Lengeler Christian, Mshinda Hassan, Mtasiwa Deo, Tanner Marcel, Genton Blaise, Time To Move from Presumptive Malaria Treatment to Laboratory-Confirmed Diagnosis and Treatment in African Children with Fever, 10.1371/journal.pmed.0050252
  12. Fontela Patricia Scolari, Pant Pai Nitika, Schiller Ian, Dendukuri Nandini, Ramsay Andrew, Pai Madhukar, Quality and Reporting of Diagnostic Accuracy Studies in TB, HIV and Malaria: Evaluation Using QUADAS and STARD Standards, 10.1371/journal.pone.0007753
  13. Ministère du Plan et Suivi de la Mise en œuvre de la Révolution de la Modernité—MPSMRM/Congo, Ministère de la Santé Publique—MSP/Congo and ICF International. Enquête Démographique et de Santé en République Démocratique du Congo 2013–2014. Rockville: MPSMRM, MSP, and ICF International; 2014.
  14. Uganda Bureau of Statistics-UBOS and ICF International. Uganda malaria indicator survey 2014–2015. Kampala: UBOS and ICF International; 2015.
  15. National Malaria Control Programme-NMCP/Kenya, Kenya National Bureau of Statistics-KNBS, and ICF International. Kenya malaria indicator survey 2015. Nairobi: NMCP, KNBS, and ICF International; 2016.
  16. Berkvens Dirk, Speybroeck Niko, Praet Nicolas, Adel Amel, Lesaffre Emmanuel, Estimating Disease Prevalence in a Bayesian Framework Using Probabilistic Constraints : , 10.1097/01.ede.0000198422.64801.8d
  17. Liu Jin, Chen Feng, Yu Hao, Zeng Ping, Liu Liya, A two-stage Bayesian method for estimating accuracy and disease prevalence for two dependent dichotomous screening tests when the status of individuals who are negative on both tests is unverified, 10.1186/1471-2288-14-110
  18. Gonçalves Luzia, Subtil Ana, de Oliveira M. Rosário, do Rosário Virgílio, Lee Pei-Wen, Shaio Men-Fang, Bayesian Latent Class Models in Malaria Diagnosis, 10.1371/journal.pone.0040633
  19. Speybroeck Niko, Praet Nicolas, Claes Filip, Van Hong Nguyen, Torres Kathy, Mao Sokny, Van den Eede Peter, Thi Thinh Ta, Gamboa Dioni, Sochantha Tho, Thang Ngo Duc, Coosemans Marc, Büscher Philippe, D'Alessandro Umberto, Berkvens Dirk, Erhart Annette, True versus Apparent Malaria Infection Prevalence: The Contribution of a Bayesian Approach, 10.1371/journal.pone.0016705
  20. Speybroeck Niko, Devleesschauwer Brecht, Joseph Lawrence, Berkvens Dirk, Misclassification errors in prevalence estimation: Bayesian handling with care, 10.1007/s00038-012-0439-9
  21. Branscum A.J., Gardner I.A., Johnson W.O., Bayesian modeling of animal- and herd-level prevalences, 10.1016/j.prevetmed.2004.09.009
  22. Vanderelst Dieter, Speybroeck Niko, Loading, merging and analysing demographic and health surveys using R, 10.1007/s00038-013-0538-2
  23. Brooks SP, Gelman A. General methods for monitoring convergence of iterative simulations. J Comput Graph Stat. 1998;7:434–55.
  24. Devleesschauwer B, Torgerson PR, Charlier J, Levecke B, Praet N, Roelandt S, Smit G, Dorny P, Berkvens D, Speybroeck N. Prevalence: tools for prevalence assessment studies. R package version 0.4.0. 2015.
  25. Plummer M. JAGS: a program for analysis of Bayesian graphical models using Gibbs sampling. In: Proceedings of the 3rd international workshop on distributed statistical computing, vol. 124. Wien: Technische Universit at Wien; 2003.
  26. Delignette-Muller Marie Laure, Dutang Christophe, fitdistrplus: AnRPackage for Fitting Distributions, 10.18637/jss.v064.i04
  27. Engel Bas, Swildens Bas, Stegeman Arjan, Buist Willem, Jong Mart, Estimation of sensitivity and specificity of three conditionally dependent diagnostic tests in the absence of a gold standard, 10.1198/108571106x153534
  28. Doctor Stephanie M., Liu Yunhao, Whitesell Amy, Thwai Kyaw L., Taylor Steve M., Janko Mark, Emch Michael, Kashamuka Melchior, Muwonga Jérémie, Tshefu Antoinette, Meshnick Steven R., Malaria surveillance in the Democratic Republic of the Congo: comparison of microscopy, PCR, and rapid diagnostic test, 10.1016/j.diagmicrobio.2016.01.004
  29. Osoga Joseph, Waitumbi John, Guyah Bernard, Sande James, Arima Cornel, Ayaya Michael, Moseti Caroline, Morang’a Collins, Wahome Martin, Achilla Rachel, Awinda George, Nyakoe Nancy, Wanja Elizabeth, Comparative evaluation of fluorescent in situ hybridization and Giemsa microscopy with quantitative real-time PCR technique in detecting malaria parasites in a holoendemic region of Kenya, 10.1186/s12936-017-1943-4
  30. Albert Paul S., Dodd Lori E., A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard, 10.1111/j.0006-341x.2004.00187.x
  31. O'Meara Wendy P., Menya Diana, Taylor Steve M., Holland Thomas L., Woods Christopher W., MacIntyre Charles, Laktabai Jeremiah, Wamburu Kabura, Fields Barry, Nicholson Bradly P., Pan William, Armstrong Janice, Mott Joshua A., Sen Reeshi, Etiology of Pediatric Fever in Western Kenya: A Case–Control Study of Falciparum Malaria, Respiratory Viruses, and Streptococcal Pharyngitis, 10.4269/ajtmh.14-0560
  32. World Health Organization. Global technical strategy for malaria 2016–2030. Geneva: World Health Organization; 2015.
  33. Dalrymple Ursula, Mappin Bonnie, Gething Peter W., Malaria mapping: understanding the global endemicity of falciparum and vivax malaria, 10.1186/s12916-015-0372-x
  34. Eisele Thomas P, Larsen David A, Walker Neff, Cibulskis Richard E, Yukich Joshua O, Zikusooka Charlotte M, Steketee Richard W, Estimates of child deaths prevented from malaria prevention scale-up in Africa 2001-2010, 10.1186/1475-2875-11-93
  35. Cameron Ewan, Battle Katherine E., Bhatt Samir, Weiss Daniel J., Bisanzio Donal, Mappin Bonnie, Dalrymple Ursula, Hay Simon I., Smith David L., Griffin Jamie T., Wenger Edward A., Eckhoff Philip A., Smith Thomas A., Penny Melissa A., Gething Peter W., Defining the relationship between infection prevalence and clinical incidence of Plasmodium falciparum malaria, 10.1038/ncomms9170
  36. Sullivan D., Uncertainty in Mapping Malaria Epidemiology: Implications for Control, 10.1093/epirev/mxq013
  37. Bennett Adam, Snow Robert W., Ali Doreen, Kazembe Lawrence, Kinyoki Damaris, Mathanga Don P., Noor Abdisalan M., Mapping Malaria Transmission Intensity in Malawi, 2000–2010, 10.4269/ajtmh.13-0028
  38. Wu Lindsey, van den Hoogen Lotus L., Slater Hannah, Walker Patrick G. T., Ghani Azra C., Drakeley Chris J., Okell Lucy C., Comparison of diagnostics for the detection of asymptomatic Plasmodium falciparum infections to inform control and elimination strategies, 10.1038/nature16039
  39. Okell Lucy C., Bousema Teun, Griffin Jamie T., Ouédraogo André Lin, Ghani Azra C., Drakeley Chris J., Factors determining the occurrence of submicroscopic malaria infections and their relevance for control, 10.1038/ncomms2241
  40. Cheng Qin, Gatton Michelle L, Barnwell John, Chiodini Peter, McCarthy James, Bell David, Cunningham Jane, Plasmodium falciparum parasites lacking histidine-rich protein 2 and 3: a review and recommendations for accurate reporting, 10.1186/1475-2875-13-283