Sample size and power calculations for detecting changes in malaria transmission using antibody seroconversion rate

Malaria Journal

Volumn 14, Issue 1, 2015, Pages

  Sepúlveda, Nuno ^a,b   Paulino, Carlos Daniel ^b,c   Drakeley, Chris ^a  

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

^b UNIVERSITY OF LISBON   (Portugal)

^c UNIVERSITY OF LISBON   (Portugal)

Author keywords

Bias; Intervention; Malaria transmission; Precision; Sample size

Indexed keywords

AGE DISTRIBUTION; ARTICLE; MALARIA; MATHEMATICAL COMPUTING; MEASUREMENT PRECISION; PARASITE TRANSMISSION; SAMPLE SIZE; SEROCONVERSION; SEROPREVALENCE; SIMULATION; BLOOD; CROSS-SECTIONAL STUDY; DISEASE TRANSMISSION; HUMAN; STATISTICS; TRANSMISSION;

PROTOZOON ANTIBODY;

ANTIBODIES, PROTOZOAN; CROSS-SECTIONAL STUDIES; DISEASE TRANSMISSION, INFECTIOUS; HUMANS; MALARIA; SAMPLE SIZE; SEROCONVERSION; STATISTICS AS TOPIC;

EID: 84952317527     PISSN: None     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/s12936-015-1050-3     Document Type: Article

References (40)

1. Stresman G, Kobayashi T, Kamanga A, Thuma PE, Mharakurwa S, et al. Malaria research challenges in low prevalence settings. Malar J. 2012;11:353.
2. Harris I, Sharrock WW, Bain LM, Gray K-A, Bobogare A, et al. A large proportion of asymptomatic Plasmodium infections with low and sub-microscopic parasite densities in the low transmission setting of Temotu Province, Solomon Islands: challenges for malaria diagnostics in an elimination setting. Malar J. 2010;9:254.
3. Mosha JF, Sturrock HJW, Greenhouse B, Greenwood B, Sutherland CJ, et al. Epidemiology of subpatent Plasmodium falciparum infection: implications for detection of hotspots with imperfect diagnostics. Malar J. 2013;12:221.
4. Vallejo AF, Chaparro PE, Benavides Y, Álvarez A, Quintero JP, et al. High prevalence of sub-microscopic infections in Colombia. Malar J. 2015;14:201.
5. Corran P, Coleman P, Riley E, Drakeley C. Serology: a robust indicator of malaria transmission intensity? Trends Parasitol. 2007;23:575-82.
6. Bousema T, Youssef RM, Cook J, Cox J, Alegana VA, et al. Serologic markers for detecting malaria in areas of low endemicity, Somalia, 2008. Emerg Infect Dis. 2010;16:392-9.
7. Cunha MG, Silva ES, Sepúlveda N, Costa SPT, Saboia TC, et al. Serologically defined variations in malaria endemicity in Pará state, Brazil. PLoS One. 2014;9:e113357.
8. Drakeley CJ, Corran PH, Coleman PG, Tongren JE, McDonald SLR, et al. Estimating medium- and long-term trends in malaria transmission by using serological markers of malaria exposure. Proc Natl Acad Sci USA. 2005;102:5108-13.
9. Bosomprah S. A mathematical model of seropositivity to malaria antigen, allowing seropositivity to be prolonged by exposure. Malar J. 2014;13:12.
10. van den Hoogen LL, Griffin JT, Cook J, Sepúlveda N, Corran P, et al. Serology describes a profile of declining malaria transmission in Farafenni, The Gambia. Malar J. 2015;14:416.
11. Cook J, Kleinschmidt I, Schwabe C, Nseng G, Bousema T, et al. Serological markers suggest heterogeneity of effectiveness of malaria control interventions on Bioko Island, Equatorial Guinea. PLoS One. 2011;6:e25137.
12. Cook J, Speybroeck N, Sochanta T, Somony H, Sokny M, et al. Sero-epidemiological evaluation of changes in Plasmodium falciparum and Plasmodium vivax transmission patterns over the rainy season in Cambodia. Malar J. 2012;11:86.
13. Sepúlveda N, Stresman G, White MT, Drakeley CJ. Current mathematical models for analyzing anti-malarial antibody data with an eye to malaria elimination and eradication. J Immunol Res. 2015;2015:738030.
14. Hens N, Aerts M, Faes C, Shkedy Z, Leujeune O, et al. Seventy-five years of estimating the force of infection from current status data. Epidemiol Infect. 2010;138:802-12.
15. Supargiyono S, Bretscher MT, Wijayanti MA, Sutanto I, Nugraheni D, et al. Seasonal changes in the antibody responses against Plasmodium falciparum merozoite surface antigens in areas of differing malaria endemicity in Indonesia. Malar J. 2013;12:444.
16. Marques AC. Human migration and the spread of malaria in Brazil. Parasitol Today. 1987;3:166-70.
17. Bowman NM, Kawai V, Levy MZ, del Carpio JGC, Cabrera L, et al. Chagas disease transmission in periurban communities of Arequipa. Peru. Clin Infect Dis. 2008;46:1822-8.
18. Cook J, Reid H, Iavro J, Kuwahata M, Taleo G, et al. Using serological measures to monitor changes in malaria transmission in Vanuatu. Malar J. 2010;9:169.
19. Delgado S, Neyra RC, Machaca VRQ, Juarez JA, Chu LC, et al. A history of chagas disease transmission, control, and re-emergence in peri-rural La Joya, Peru. PLoS Negl Trop Dis. 2011;5:e970.
20. Martin DL, Bid R, Sandi F, Goodhew EB, Massae PA, et al. Serology for trachoma surveillance after cessation of mass drug administration. PLoS Negl Trop Dis. 2015;9:e0003555.
21. Wong J, Hamel MJ, Drakeley CJ, Kariuki S, Shi YP, et al. Serological markers for monitoring historical changes in malaria transmission intensity in a highly endemic region of Western Kenya, 1994-2009. Malar J. 2014;13:451.
22. Sepúlveda N, Drakeley C. Sample size determination for estimating antibody seroconversion rate under stable malaria transmission intensity. Malar J. 2015;14:141.
23. +-thalassemia and Plasmodium falciparum malarial infection in northeastern Tanzania. J Infect Dis. 2007;196:451-9.
24. Sepúlveda N, Manjurano A, Drakeley C, Clark TG. On the performance of multiple imputation based on chained equations in tackling missing data of the African α3.7-globin deletion in a malaria association study. Ann Hum Genet. 2014;78:277-89.
25. Williams BG, Dye C. Maximum likelihood for parasitologists. Parasitol Today. 1994;10:489-93.
26. Sepúlveda N, Paulino CD, Carneiro J. Estimation of T-cell repertoire diversity and clonal size distribution by Poisson abundance models. J Immunol Methods. 2010;353:124-37.
27. Burnham KP, Anderson DR. Multimodel inference - Understanding AIC and BIC in model selection. Sociol Methods Res. 2004;33:261-304.
28. Casella G, Berger RL. Statistical inference. 2nd ed. Pacific Grove: Duxbury; 2002.
29. Gething PW, Patil AP, Smith DL, Guerra CA, Elyazar IRF, et al. A new world malaria map: Plasmodium falciparum endemicity in 2010. Malar J. 2011;10:378.
30. Kinyanjui SM, Conway DJ, Lanar DE, Marsh K. IgG antibody responses to Plasmodium falciparum merozoite antigens in Kenyan children have a short half-life. Malar J. 2007;6:82.
31. Akpogheneta OJ, Duah NO, Tetteh KKA, Dunyo S, Lanar DE, et al. Duration of naturally acquired antibody responses to blood-stage Plasmodium falciparum is age dependent and antigen specific. Infect Immun. 2008;76:1748-55.
32. Oliveira-Ferreira J, Lacerda MVG, Brasil P, Ladislau JLB, Tauil PL, et al. Malaria in Brazil: an overview. Malar J. 2010;9:115.
33. Quenouille MH. Notes on bias in estimation. Biometrika. 1956;43:353-60.
34. Efron B, Tibshirani RJ. An introduction to the bootstrap. 1st ed. New York: Chapman & Hall; 1993.
35. Broman KW. Mapping quantitative trait loci in the case of a spike in the phenotype distribution. Genetics. 2003;163:1169-75.
36. Xu S, Atchley WR. Mapping quantitative trait loci for complex binary diseases using line crosses. Genetics. 1996;143:1417-24.
37. Brögger RC, Mathews HM, Storey J, Ashkar TS, Brögger S, et al. Changing patterns in the humoral immune response to malaria before, during, and after the application of control measures: a longitudinal study in the West African savanna. Bull World Health Organ. 1978;56:579-600.
38. Molyneux L, Gramiccia G. The Garki Project. Research on the epidemiology and control of malaria in the Sudan savanna of West Africa. World Health Organization 1980, pp. 311.
39. Herrera S, Ochoa-Orozco SA, González IJ, Peinado L, Quinones ML, et al. Prospects for malaria elimination in Mesoamerica and Hispaniola. PLoS Negl Trop Dis. 2015;9:e0003700.
40. Karunaweera ND, Galappaththy GN, Wirth DF. On the road to eliminate malaria in Sri Lanka: lessons from history, challenges, gaps in knowledge and research needs. Malar J. 2014;13:59.