Geostatistical modeling of malaria endemicity using serological indicators of exposure collected through school surveys

American Journal of Tropical Medicine and Hygiene

Volumn 93, Issue 1, 2015, Pages 168-177

  Ashton, Ruth A ^a,b   Kefyalew, Takele ^a   Rand, Alison ^b   Sime, Heven ^c   Assefa, Ashenafi ^c   Mekasha, Addis ^d   Edosa, Wasihun ^d   Tesfaye, Gezahegn ^a   Cano, Jorge ^b   Teka, Hiwot ^e   Reithinger, Richard ^b,e,f   Pullan, Rachel L ^b   Drakeley, Chris J ^b   Brooker, Simon J ^b  

^a MALARIA CONSORTIUM   (United Kingdom)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^c ETHIOPIAN PUBLIC HEALTH INSTITUTE   (Ethiopia)

^d Oromia Regional Health Bureau   (Ethiopia)

^e UNITED STATES AGENCY FOR INTERNATIONAL DEVELOPMENT   (United States)

^f RTI INTERNATIONAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PARASITE ANTIGEN; PROTOZOON ANTIBODY; APICAL MEMBRANE ANTIGEN I, PLASMODIUM; GLUTAMATE-RICH PROTEIN, PLASMODIUM; MEMBRANE PROTEIN; MEROZOITE SURFACE PROTEIN 1; PROTOZOAL PROTEIN;

ADOLESCENT; ADULT; ARTICLE; BAYES THEOREM; CHILD; CROSS-SECTIONAL STUDY; DRIED BLOOD SPOT TESTING; ENDEMIC DISEASE; ENVIRONMENTAL FACTOR; ETHIOPIA; FEMALE; GEOSTATISTICAL ANALYSIS; HEALTH SURVEY; HUMAN; MAJOR CLINICAL STUDY; MALARIA; MALE; MICROSCOPY; PLASMODIUM FALCIPARUM; PLASMODIUM VIVAX; PREDICTOR VARIABLE; SEROPREVALENCE; STATISTICAL MODEL; TREND STUDY; ENZYME LINKED IMMUNOSORBENT ASSAY; IMMUNOLOGY; ISOLATION AND PURIFICATION; MALARIA, FALCIPARUM; MALARIA, VIVAX; MULTIVARIATE ANALYSIS; PRESCHOOL CHILD; SCHOOL; SPATIAL ANALYSIS; STATISTICS AND NUMERICAL DATA;

PLASMODIUM FALCIPARUM;

ADOLESCENT; ANTIBODIES, PROTOZOAN; ANTIGENS, PROTOZOAN; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; CROSS-SECTIONAL STUDIES; ENDEMIC DISEASES; ENZYME-LINKED IMMUNOSORBENT ASSAY; ETHIOPIA; HUMANS; MALARIA, FALCIPARUM; MALARIA, VIVAX; MALE; MEMBRANE PROTEINS; MEROZOITE SURFACE PROTEIN 1; MULTIVARIATE ANALYSIS; PLASMODIUM FALCIPARUM; PLASMODIUM VIVAX; PROTOZOAN PROTEINS; SCHOOLS; SEROEPIDEMIOLOGIC STUDIES; SPATIAL ANALYSIS;

EID: 84936997789     PISSN: 00029637     EISSN: None     Source Type: Journal    
DOI: 10.4269/ajtmh.14-0620     Document Type: Article

References (61)

1. World Health Organization, 2012. Disease Surveillance for Malaria Elimination. Available at: http://whqlibdoc.who.int/publications/2012/9789241503334-eng.pdf. Accessed November 4, 2013.
2. Greenwood BM, 2008. Control to elimination: implications for malaria research. Trends Parasitol 24: 449-454.
3. Cotter C, Sturrock HJ, Hsiang MS, Liu J, Phillips AA, Hwang J, Gueye CS, Fullman N, Gosling RD, Feachem RG, 2013. The changing epidemiology of malaria elimination: new strategies for new challenges. Lancet 382: 900-911.
4. Tatem AJ, Smith DL, Gething PW, Kabaria CW, Snow RW, Hay SI, 2010. Ranking of elimination feasibility between malaria-endemic countries. Lancet 376: 1579-1591.
5. Okell LC, Bousema T, Griffin JT, Ouedraogo AL, Ghani AC, Drakeley CJ, 2012. Factors determining the occurrence of submicroscopic malaria infections and their relevance for control. Nat Commun 3: 1237.
6. Ishengoma DS, Francis F, Mmbando BP, Lusingu JP, Magistrado P, Alifrangis M, Theander TG, Bygbjerg IC, Lemnge MM, 2011. Accuracy of malaria rapid diagnostic tests in community studies and their impact on treatment of malaria in an area with declining malaria burden in north-eastern Tanzania. Malar J 10: 176.
7. Littrell M, Sow GD, Ngom A, Ba M, Mboup BM, Dieye Y, Mutombo B, Earle D, Steketee RW, 2013. Case investigation and reactive case detection for malaria elimination in northern Senegal. Malar J 12: 331.
8. Searle KM, Shields T, Hamapumbu H, Kobayashi T, Mharakurwa S, Thuma PE, Smith DL, Glass G, Moss WJ, 2013. Efficiency of household reactive case detection for malaria in rural southern Zambia: simulations based on cross-sectional surveys from two epidemiological settings. PLoS ONE 8: e70972.
9. Sturrock HJ, Novotny JM, Kunene S, Dlamini S, Zulu Z, Cohen JM, Hsiang MS, Greenhouse B, Gosling RD, 2013. Reactive case detection for malaria elimination: real-life experience from an ongoing program in Swaziland. PLoS ONE 8: e63830.
10. Roca-Feltrer A, Lalloo DG, Phiri K, Terlouw DJ, 2012. Rolling Malaria Indicator Surveys (rMIS): a potential district-level malaria monitoring and evaluation (M&E) tool for program managers. Am J Trop Med Hyg 86: 96-98.
11. Corran P, Coleman P, Riley E, Drakeley C, 2007. Serology: a robust indicator of malaria transmission intensity? Trends Parasitol 23: 575-582.
12. Corran PH, Cook J, Lynch C, Leendertse H, Manjurano A, Griffin J, Cox J, Abeku T, Bousema T, Ghani AC, Drakeley C, Riley E, 2008. Dried blood spots as a source of anti-malarial antibodies for epidemiological studies. Malar J 7: 195.
13. Stewart L, Gosling R, Griffin J, Gesase S, Campo J, Hashim R, Masika P, Mosha J, Bousema T, Shekalaghe S, Cook J, Corran P, Ghani A, Riley EM, Drakeley C, 2009. Rapid assessment of malaria transmission using age-specific sero-conversion rates. PLoS ONE 4: e6083.
14. Drakeley CJ, Corran PH, Coleman PG, Tongren JE, McDonald SLR, Carneiro I, Malima R, Lusingu J, Manjurano A, Nkya WMM, Lemnge MM, Cox J, Reyburn H, Riley EM, 2005. Estimating medium- and long-term trends in malaria transmission by using serological markers of malaria exposure. Proc Natl Acad Sci USA 102: 5108-5113.
15. Bousema T, Youssef RM, Cook J, Cox J, Alegana VA, Amran J, Noor AM, Snow RW, Drakeley C, 2010. Serologic markers for detecting malaria in areas of low endemicity, Somalia, 2008. Emerg Infect Dis 16: 392-399.
16. Oduro AR, Conway DJ, Schellenberg D, Satoguina J, Greenwood BM, Bojang KA, 2013. Seroepidemiological and parasitological evaluation of the heterogeneity of malaria infection in the Gambia. Malar J 12: 222.
17. Satoguina J, Walther B, Drakeley C, Nwakanma D, Oriero EC, Correa S, Corran P, Conway DJ, Walther M, 2009. Comparison of surveillance methods applied to a situation of low malaria prevalence at rural sites in The Gambia and Guinea Bissau. Malar J 8: 274.
18. Hsiang MS, Hwang J, Kunene S, Drakeley C, Kandula D, Novotny J, Parizo J, Jensen T, Tong M, Kemere J, Dlamini S, Moonen B, Angov E, Dutta S, Ockenhouse C, Dorsey G, Greenhouse B, 2012. Surveillance for malaria elimination in Swaziland: a national cross-sectional study using pooled PCR and serology. PLoS ONE 7: e29550.
19. Noor AM, Mohamed MB, Mugyenyi CK, Osman MA, Guessod HH, Kabaria CW, Ahmed IA, Nyonda M, Cook J, Drakeley CJ, Mackinnon MJ, Snow RW, 2011. Establishing the extent of malaria transmission and challenges facing pre-elimination in the Republic of Djibouti. BMC Infect Dis 11: 121.
20. Brooker S, Kolaczinski J, Gitonga C, Noor A, Snow R, 2009. The use of schools for malaria surveillance and programme evaluation in Africa. Malar J 8: 231.
21. Gitonga CW, Karanja PN, Kihara J, Mwanje M, Juma E, Snow RW, Noor AM, Brooker S, 2010. Implementing school malaria surveys in Kenya: towards a national surveillance system. Malar J 9: 306.
22. Gitonga CW, Kihara JH, Njenga SM, Awuondo K, Noor AM, Snow RW, Brooker SJ, 2012. 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 87: 1004-1011.
23. Stevenson JC, Stresman GH, Gitonga CW, Gillig J, Owaga C, Marube E, Odongo W, Okoth A, China P, Oriango R, Brooker SJ, Bousema T, Drakeley C, Cox J, 2013. Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands. PLoS ONE 8: e77641.
24. Ghebreyesus TA, Haile M, Witten KH, Getachew A, Yohannes AM, Yohannes M, Teklehaimanot HD, Lindsay SW, Byass P, 1999. Incidence of malaria among children living near dams in northern Ethiopia: community based incidence survey. BMJ 319: 663-666.
25. Abeku T, Van Oortmarssen GJ, Borsboom G, De Vlas SJ, Habbema JDF, 2003. Spatial and temporal variations of malaria epidemic risk in Ethiopia: factors involved and implications. Acta Trop 87: 331-340.
26. Lautze J, McCartney M, Kirshen P, Olana D, Jayasinghe G, Spielman A, 2007. Effect of a large dam on malaria risk: the Koka reservoir in Ethiopia. Trop Med Int Health 12: 982-989.
27. Midekisa A, Senay G, Henebry GM, Semuniguse P, Wimberly MC, 2012. Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia. Malar J 11: 165.
28. Graves PM, Richards FO, Ngondi J, Emerson PM, Shargie EB, Endeshaw T, Ceccato P, Ejigsemahu Y, Mosher AW, Hailemariam A, Zerihun M, Teferi T, Ayele B, Mesele A, Yohannes G, Tilahun A, Gebre T, 2009. Individual, household and environmental risk factors for malaria infection in Amhara, Oromia and SNNP regions of Ethiopia. Trans R Soc Trop Med Hyg 103: 1211-1220.
29. The Ethiopian Health and Nutrition Research Institute and partners, 2012. Ethiopia National Malaria Indicator Survey 2011. Addis Ababa, Ethiopia: Federal Ministry of Health.
30. Ashton RA, Kefyalew T, Tesfaye G, Pullan RL, Yadeta D, Reithinger R, Kolaczinski JH, Brooker S, 2011. School-based surveys of malaria in Oromia Regional State, Ethiopia: a rapid survey method for malaria in low transmission settings. Malar J 10: 25.
31. World Health Organization, 2001. Iron Deficiency Anaemia: Assessment, Prevention and Control. A Guide for Programme Managers. Geneva, Switzerland: World Health Organization.
32. Bousema T, Drakeley C, Gesase S, Hashim R, Magesa S, Mosha F, Otieno S, Carneiro I, Cox J, Msuya E, Kleinschmidt I, Maxwell C, Greenwood B, Riley E, Sauerwein R, Chandramohan D, Gosling R, 2010. Identification of hot spots of malaria transmission for targeted malaria control. J Infect Dis 201: 1764-1774.
33. Cook J, Kleinschmidt I, Schwabe C, Nseng G, Bousema T, Corran PH, Riley EM, Drakeley CJ, 2011. Serological markers suggest heterogeneity of effectiveness of malaria control interventions on Bioko Island, Equatorial Guinea. PLoS ONE 6: e25137.
34. Cook J, Reid H, Iavro J, Kuwahata M, Taleo G, Clements A, McCarthy J, Vallely A, Drakeley C, 2010. Using serological measures to monitor changes in malaria transmission in Vanuatu. Malar J 9: 169.
35. USGS-SRTM. Shuttle Radar Topography Mission Digital Elevation Model. Available at: http://srtm.csi.cgiar.org. Accessed November 4, 2013.
36. WorldClim. WorldClim Global Climate Data. Available at: http://www.worldclim.org. Accessed November 4, 2013.
37. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A, 2005. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25: 1965-1978.
38. USGS. SRTM Water Bodies Data Files. Available at: https://lta.cr.usgs.gov/srtm-water-body-dataset. Accessed November 4, 2013.
39. Digital Chart of the World. Available at: http://diva-gis.org/gdata. Accessed November 4, 2013.
40. Matsuoka H, Nguon C, Kanbe T, Jalloh A, Sato H, Yoshida S, Hirai M, Arai M, Socheat D, Kawamoto F, 2005. Glucose-6-phosphate dehydrogenase (G6PD) mutations in Cambodia: G6PD Viangchan (871G > A) is the most common variant in the Cambodian population. J Hum Genet 50: 468-472.
41. SPOT Vegetation. Spot 5 Vegetation. Available at: http://www.spot-vegetation.com. Accessed November 4, 2013.
42. WorldPop Project. Available at: http://www.worldpop.org.uk/. Accessed November 4, 2013.
43. SEDAC. Global Rural-Urban Mapping Project (GRUMP), v1. Available at: http://sedac.ciesin.columbia.edu/data/collection/grump-v1. Accessed November 4, 2013.
44. Schwarz G, 1978. Estimating the dimensions of a model. Ann Stat 6: 461-464.
45. Akaike H, 1973. Information theory and an extension of the maximum likelihood principle. Petrov BN, Caski F, ed. Proceeding of the Second International Symposium on Information Theory. Budapest, Hungary: Akademiai Kiado, 276-281.
46. Diggle PJ, Ribeiro PJJ, 2007. Model-Based Geostatistics. New York, NY: Springer.
47. Spiegelhalter DJ, Best NG, Carlin BR, van der Linde A, 2002. Bayesian measures of model complexity and fit. J R Stat Soc, B 64: 583-616.
48. Swets JA, 1988. Measuring the accuracy of diagnostic systems. Science 240: 1285-1293.
49. Clements ACA, Lwambo NJS, Blair L, Nyandindi U, Kaatano G, Kinung'hi S, Webster JP, Fenwick A, Brooker S, 2006. Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. Trop Med Int Health 11: 490-503.
50. Fawcett T, 2006. An introduction to ROC analysis. Pattern Recognit Lett 27: 861-874.
51. rd Ed. Addis Ababa, Ethiopia: Ministry of Health (MoH).
52. Reid HL, Haque U, Roy S, Islam N, Clements AC, 2012. Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007. Malar J 11: 170.
53. Guerra CA, Howes RE, Patil AP, Gething PW, Van Boeckel TP, Temperley WH, Kabaria CW, Tatem AJ, Manh BH, Elyazar IRF, Baird JK, Snow RW, Hay SI, 2010. The international limits and population at risk of Plasmodium vivax transmission in 2009. PLoS Negl Trop Dis 4: e774.
54. Gething PW, Patil AP, Smith DL, Guerra CA, Elyazar IRF, Johnston GL, Tatem AJ, Hay SI, 2011. A new world malaria map: Plasmodium falciparum endemicity in 2010. Malar J 10: 378.
55. Malaria Atlas Project, 2013. Malaria Atlas Project Maps of Malaria Risk in Ethiopia. Available at: http://www.map.ox.ac.uk/explore/countries/ETH. Accessed September 23, 2013.
56. Diggle PJ, Menezes R, Su T, 2010. Geostatistical inference under preferential sampling. Appl Stat 59: 191-232.
57. Hartgers FC, Yazdanbakhsh M, 2006. Co-infection of helminths and malaria: modulation of the immune responses to malaria. Parasite Immunol 28: 497-506.
58. Garrett-Jones C, Shidrawi GR, 1969. Malaria vectorial capacity of a population of Anopheles gambiae: an exercise in epidemiological entomology. Bull World Health Organ 40: 531-545.
59. Poncon N, Tran A, Toty C, Luty AJ, Fontenille D, 2008. A quantitative risk assessment approach for mosquito-borne diseases: malaria re-emergence in southern France. Malar J 7: 147.
60. Oidtmann B, Peeler E, Lyngstad T, Brun E, Bang Jensen B, Stark KD, 2013. Risk-based methods for fish and terrestrial animal disease surveillance. Prev Vet Med 112: 13-26.
61. Rodriguez-Prieto V, Vicente-Rubiano M, Sanchez-Matamoros A, Rubio-Guerri C, Melero M, Martinez-Lopez B, Martinez-Aviles M, Hoinville L, Vergne T, Comin A, Schauer B, Dorea F, Pfeiffer DU, Sanchez-Vizcaino JM, 2014. Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations. Epidemiol Infect 12: 1-25.