Cited by 85

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Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania

Chacky, Frank, Runge, Manuela, Rumisha, Susan F., Machafuko, Pendael, Chaki, Prosper, Massaga, Julius J., Mohamed, Ally, Pothin, Emilie, Molteni, Fabrizio, Snow, Robert W., Lengeler, Christian, Mandike, Renata·2018·Malaria Journal

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  1. Mazigo HD, Rumisha SF, Chiduo MG, Bwana VM, Mboera LEG. Malaria among rice farming communities in Kilangali village, Kilosa district, Central Tanzania: prevalence, intensity and associated factors. Infect Dis Poverty. 2017;6:101. · DOI
  2. Nzobo BJ, Ngasala BE, Kihamia CM. Prevalence of asymptomatic malaria infection and use of different malaria control measures among primary school children in Morogoro Municipality, Tanzania. Malar J. 2015;14:491. · DOI
  3. Hemingway J, Shretta R, Wells TNC, Bell D, Djimdé AA, Achee N, et al. Tools and strategies for malaria control and elimination: what do we need to achieve a grand convergence in malaria? PLoS Biol. 2016;14:e1002380. · DOI
  4. Tanner M, Greenwood B, Whitty CJM, Ansah EK, Price RN, Dondorp AM, et al. Malaria eradication and elimination: views on how to translate a vision into reality. BMC Med. 2015;13:167. · DOI
  5. Brooker S, Kolaczinski JH, Gitonga CW, Noor AM, Snow RW. The use of schools for malaria surveillance and programme evaluation in Africa. Malar J. 2009;8:231. · DOI
  6. Stevenson JC, Stresman GH, Gitonga CW, Gillig J, Owaga C, Marube E, et al. Reliability of school surveys in estimating geographic variation in malaria transmission in the Western Kenyan Highlands. PLoS ONE. 2013;8:e77641. · DOI
  7. Gitonga CW, Karanja PN, Kihara J, Mwanje M, Juma E, Snow RW, et al. Implementing school malaria surveys in Kenya: towards a national surveillance system. Malar J. 2010;9:306. · DOI · Paper page
  8. Swana EK, Yav TI, Ngwej LM, Mupemba BN, Mukeng CK, et al. School-based malaria prevalence: informative systematic surveillance measure to assess epidemiological impact of malaria control interventions in the Democratic Republic of the Congo. Malar J. 2018;17:141. · DOI · Paper page
  9. Ashton RA, Kefyalew T, Batisso E, Awano T, Kebede Z, Tesfaye G, et al. The usefulness of school-based syndromic surveillance for detecting malaria epidemics: experiences from a pilot project in Ethiopia. BMC Public Health. 2016;16:20. · DOI
  10. Okebe J, Affara M, Correa S, Muhammad AK, Nwakanma D, Drakeley C, et al. School-based countrywide seroprevalence survey reveals spatial heterogeneity in malaria transmission in the Gambia. PLoS ONE. 2014;9:e110926. · DOI · Paper page
  11. Nankabirwa J, Wandera B, Kiwanuka N, Staedke SG, Kamya MR, Brooker SJ. Asymptomatic Plasmodium infection and cognition among primary schoolchildren in a high malaria transmission setting in Uganda. Am J Trop Med Hyg. 2013;88:1102–8. · DOI
  12. Walldorf JA, Cohee LM, Coalson JE, Bauleni A, Nkanaunena K, Kapito-Tembo A, et al. School-age children are a reservoir of malaria infection in Malawi. PLoS ONE. 2015;10:e0134061. · DOI
  13. Takem EN, Affara M, Amambua-Ngwa A, Okebe J, Ceesay SJ, Jawara M, et al. Detecting foci of malaria transmission with school surveys: a pilot study in the Gambia. PLoS ONE. 2013;8:e67108. · DOI
  14. Houngbedji CA, Chammartin F, Yapi RB, Hürlimann E, N’Dri PB, Silué KD, et al. Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d’Ivoire. Parasit Vectors. 2016;9:494. · DOI · Paper page
  15. Sarpong N, Owusu-Dabo E, Kreuels B, Fobil JN, Segbaya S, Amoyaw F, et al. Prevalence of malaria parasitaemia in school children from two districts of Ghana earmarked for indoor residual spraying: a cross-sectional study. Malar J. 2015;14:260. · DOI
  16. Mathanga DP, Halliday KE, Jawati M, Verney A, Bauleni A, Sande J, et al. The high burden of malaria in primary school children in southern Malawi. Am J Trop Med Hyg. 2015;93:779–89. · DOI
  17. Ndyomugyenyi R, Kroeger A. Using schoolchildren’s reports of bed net use monitored by schoolteachers as a proxy of community coverage in malaria endemic areas of Uganda. Trop Med Int Health. 2007;12:230–7. · DOI
  18. Ministry of Education and Vocational Training. Education for All 2015 National Review Report: United Republic of Tanzania Mainland. Ministry of Education and Vocational Training: UNESCO; 2014.
  19. StataCorp. Stata Statistical Software: release 13. College Station: StataCorp LP; 2013.
  20. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high-resolution interpolated climate surfaces for global land areas. Int J Climatol. 2005;25:1965–78. · DOI
  21. Gething PW, Van Boeckel TP, Smith DL, Guerra CA, Patil AP, Snow RW, et al. Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P. vivax. Parasit Vectors. 2011;4:92. · DOI
  22. Gosoniu L, Msengwa A, Lengeler C, Vounatsou P. Spatially explicit burden estimates of malaria in Tanzania: bayesian geostatistical modeling of the malaria indicator survey data. PLoS ONE. 2012;7:e23966. · DOI
  23. Hagenlocher M, Castro MC. Mapping malaria risk and vulnerability in the United Republic of Tanzania: a spatial explicit model. Popul Health Metr. 2015;13:2. · DOI
  24. Nankabirwa J, Brooker SJ, Clarke SE, Fernando D, Gitonga CW, Schellenberg D, et al. Malaria in school-age children in Africa: an increasingly important challenge. Trop Med Int Health. 2014;19:1294–309. · DOI
  25. Pullan RL, Bukirwa H, Staedke SG, Snow RW, Brooker S. Plasmodium infection and its risk factors in eastern Uganda. Malar J. 2010;9:2. · DOI · Paper page
  26. Carneiro I, Roca-Feltrer A, Griffin JT, Smith L, Tanner M, Schellenberg JA, et al. Age-patterns of malaria vary with severity, transmission intensity and seasonality in sub-Saharan Africa: a systematic review and pooled analysis. PLoS ONE. 2010;5:e8988. · DOI
  27. Gitonga CW, Edwards T, Karanja PN, Noor AM, Snow RW, Brooker SJ. Plasmodium infection, anaemia and mosquito net use among school children across different settings in Kenya. Trop Med Int Health. 2012;17:858–70. · DOI
  28. Kepha S, Nikolay B, Nuwaha F, Mwandawiro CS, Nankabirwa J, Ndibazza J, et al. Plasmodium falciparum parasitaemia and clinical malaria among school children living in a high transmission setting in western Kenya. Malar J. 2016;15:157. · DOI
  29. Ashton RA, Kefyalew T, Tesfaye G, Pullan RL, Yadeta D, Reithinger R, et al. School-based surveys of malaria in Oromia Regional State, Ethiopia: a rapid survey method for malaria in low transmission settings. Malar J. 2011;10:25. · DOI
  30. Doolan DL, Dobaño C, Baird JK. Acquired immunity to malaria. Clin Microbiol Rev. 2009;22:13–36. · DOI
  31. Gitonga CW, Kihara JH, Njenga SM, Awuondo K, Noor AM, Snow RW, et al. Use of rapid diagnostic tests in malaria school surveys in Kenya: does their under-performance matter for planning malaria control? Am J Trop Med Hyg. 2012;87:1004–11. · DOI
  32. Bousema T, Okell L, Felger I, Drakeley C. Asymptomatic malaria infections: detectability, transmissibility and public health relevance. Nat Rev Microbiol. 2014;12:833–40. · DOI
  33. Hay SI, Smith DL, Snow RW. Measuring malaria endemicity from intense to interrupted transmission. Lancet Infect Dis. 2008;8:369–78. · DOI
  34. Bowling A. Mode of questionnaire administration can have serious effects on data quality. J Public Health. 2005;27:281–91. · DOI
  35. Coughlin SS. Recall bias in epidemiologic studies. J Clin Epidemiol. 1990;43:87–91. · DOI · Paper page
  36. Kapesa A, Kweka EJ, Zhou G, Atieli HE, Kamugisha E, Mazigo HD, et al. Utility of passive malaria surveillance in hospitals as a surrogate to community infection transmission dynamics in western Kenya. Arch Public Health. 2018;76:39. · DOI
  37. Males S, Gaye O, Garcia A. Long-term asymptomatic carriage of Plasmodium falciparum protects from malaria attacks: a prospective study among Senegalese children. Clin Infect Dis. 2008;46:516–22. · DOI
  38. Buchwald AG, Sorkin JD, Sixpence A, Chimenya M, Damson M, Wilson ML, et al. Association between age and Plasmodium falciparum infection dynamics. Am J Epidemiol. 2018. https://doi.org/10.1093/aje/kwy213 (Epub ahead of print). · DOI

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Metadata

Authors
Chacky, F., Runge, M., Rumisha, S. F., Machafuko, P., Chaki, P., Massaga, J. J., Mohamed, A., Pothin, E., Molteni, F., Snow, R. W., Lengeler, C., & Mandike, R.
Venue
Malaria Journal
Published
2018-12
Volume
17
Issue
1
ISSN
1475-2875
Cited by
85
References
1
Language
en
Funders
  • Global Fund to Fight AIDS, Tuberculosis and Malaria (TNZ-M-MOFEA)
  • Using funds from The Department of International Development, UK to University of Oxford as part of the INFORM project

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