A generic schema and data collection forms applicable to diverse entomological studies of mosquitoes
Tóm tắt
Standardized schemas, databases, and public data repositories are needed for the studies of malaria vectors that encompass a remarkably diverse array of designs and rapidly generate large data volumes, often in resource-limited tropical settings lacking specialized software or informatics support. Data from the majority of mosquito studies conformed to a generic schema, with data collection forms recording the experimental design, sorting of collections, details of sample pooling or subdivision, and additional observations. Generically applicable forms with standardized attribute definitions enabled rigorous, consistent data and sample management with generic software and minimal expertise. Forms use now includes 20 experiments, 8 projects, and 15 users at 3 research and control institutes in 3 African countries, resulting in 11 peer-reviewed publications. We have designed generic data schema that can be used to develop paper or electronic based data collection forms depending on the availability of resources. We have developed paper-based data collection forms that can be used to collect data from majority of entomological studies across multiple study areas using standardized data formats. Data recorded on these forms with standardized formats can be entered and linked with any relational database software. These informatics tools are recommended because they ensure that medical entomologists save time, improve data quality, and data collected and shared across multiple studies is in standardized formats hence increasing research outputs.
Tài liệu tham khảo
McKenzie FE. Why model malaria? Parasitol Today. 2000;16(12):511–6.
Hay SI, Snow RW. The malaria atlas project: developing global maps of malaria risk. PLoS Med. 2006;3(12):e473.
Griffin JT et al. Reducing Plasmodium falciparum malaria transmission in Africa: A model-based evaluation of intervention strategies. PLoS Med. 2010;7(8):e1000324.
Eckhoff P. Mathematical models of within-host and transmission dynamics to determine effects of malaria interventions in a variety of transmission settings. Am J Trop Med Hyg. 2013;88(5):817–27.
Killeen GF. A second chance to tackle African malaria vector mosquitoes that avoid houses and don't take drugs. Am J Trop Med Hyg. 2013;88(5):809–16.
Lindblade KA. Commentary: Does a mosquito bite when no one is around to hear it? Int J Epidemiol. 2013;42(1):247–9.
Kitau J et al. Species shifts in the Anopheles gambiae complex: do LLINs successfully control Anopheles arabiensis? PLoS One. 2012;7(3):e31481.
Elliott R. The influence of vector behavior on malaria transmission. Am J Trop Med Hyg. 1972;21(5 Suppl):755.
Okumu FO et al. Comparative field evaluation of combinations of long-lasting insecticide treated nets and indoor residual spraying, relative to either method alone, for malaria prevention in an area where the main vector is Anopheles arabiensis. Parasit Vectors. 2013;6(1):46–6.
Okumu FO et al. Mathematical evaluation of community level impact of combining bed nets and indoor residual spraying upon malaria transmission in areas where the main vectors are Anopheles arabiensis mosquitoes. Parasit Vectors. 2013;6:17.
Ferguson HM et al. Ecology: a prerequisite for malaria elimination and eradication. PLoS Med. 2010;7(8):e1000303.
Madin JS et al. Advancing ecological research with ontologies. Trends Ecol Evol. 2008;23(3):159–68.
Jones MB et al. The new bioinformatics: integrating ecological data from the gene to the biosphere. Annu Rev Ecol Evol Syst. 2006;37(1):519–44.
Page RDM. Biodiversity informatics: the challenge of linking data and the role of shared identifiers. Brief Bioinform. 2008;9(5):345–54.
Bernstein PA. Applying generic schema management to bioinformatics. OMICS. 2003;7(1):99–100.
McIntosh ACS et al. Database design for ecologists: composing core entities with observations. Ecol Inform. 2007;2(3):224–36.
Bard JRL, Rhee SY. Ontologies in biology: design, applications and future challenges. Nat Rev Genet. 2004;5(3):213–22.
Ashburner M et al. Gene ontology: tool for the unification of biology. Nat Genet. 2000;25(1):25–9.
Lawson D et al. VectorBase: A data resource for invertebrate vector genomics. Nucleic Acids Res. 2009;37 suppl 1:D583–7.
Topalis P et al. A set of ontologies to drive tools for the control of vector-borne diseases. J Biomed Inform. 2011;44(1):42–7.
Koum G et al. Design of a Two-level Adaptive Multi-Agent System for Malaria Vectors driven by an ontology. BMC Med Inform Decis Mak. 2007;7(1):19.
Borer ET et al. Some simple guidelines for effective data management. Bull Ecol Soc Am. 2009;90(2):205–14.
Foley DH, Wilkerson RC, Rueda LM. Importance of the “What”,“When”, and “Where” of Mosquito Collection Events. J Med Entomol. 2009;46(4):717–22.
Koum G et al. Design and implementation of a mosquito database through an entomological ontology. Bioinformatics. 2005;21(11):2797.
WHO. Guidelines for testing mosquito adulticides for indoor residual spraying and treatment of mosquito nets. WHO/CDS/NTD/WHOPES/GCDPP/2006.3. Geneva, Switzerland: WHO Pesticide Evaluation Scheme; 2006.
Scott JA, Brogdon WG, Collins FH. Identification of single specimens of the Anopheles gambiae complex by the polymerase chain reaction. Am J Trop Med Hyg. 1993;49(4):520–9.
Burkot TR, Goodman WG, DeFoliart GR. Identification of mosquito blood meals by enzyme-linked immunosorbent assay. Am J Trop Med Hyg. 1981;30(6):1336–41.
Burkot TR, Williams JL, Schneider I. Identification of Plasmodium falciparum infected mosquitoes by a double antibody enzyme-linked immunosorbent assay. Am J Trop Dis Prev Med. 1984;33(5):783–8.
Detinova TS. Age-grading methods in Diptera of medical importance. Geneva: World Health Organization; 1962. p. 216.
Gillies MT. A modified technique for the age-grading of populations of Anopheles gambiae. Ann Trop Med Parasitol. 1958;52:261–73.
Nasci R. Relationship of wing length to adult dry weight in several mosquito species (Diptera: Culicidae). J Med Entomol. 1990;27(4):716–9.
Morel CM et al. The mosquito genome - A breakthrough for public health. Science. 2002;298(5591):79.
Lawson D et al. VectorBase: a home for invertebrate vectors of human pathogens. Nucleic Acids Res. 2007;35(suppl_1):D503–505.
Majambere S et al. Advantages and limitations of commercially available electrocuting grids for studying mosquito behaviour. Parasit Vectors. 2013;6:53.
Sikulu M et al. Comparative evaluation of the Ifakara tent trap-B, the standardized resting boxes and the human landing catch for sampling malaria vectors and other mosquitoes in urban Dar es Salaam, Tanzania. Malar J. 2009;8(1):197.
Okumu F et al. Limitation of using synthetic human odours to test mosquito repellents. Malar J. 2009;8(1):150.
Ogoma S et al. Window screening, ceilings and closed eaves as sustainable ways to control malaria in Dar es Salaam, Tanzania. Malar J. 2009;8(1):221.
Govella NJ et al. A new tent trap for sampling exophagic and endophagic members of the Anopheles gambiae complex. Malar J. 2009;8:157.
Geissbühler Y et al. Microbial larvicide application by a large-scale, community-based program reduces malaria infection prevalence in urban Dar es Salaam, Tanzania. PLoS One. 2009;4(3):e5107.
Chaki P et al. Achieving high coverage of larval-stage mosquito surveillance: challenges for a community-based mosquito control programme in urban Dar es Salaam, Tanzania. Malar J. 2009;8(1):311.
Mnyone LL et al. Infection of the malaria mosquito, Anopheles gambiae s.s., with two species of entomopathogenic fungi: effects of concentration, co-formulation, exposure time and persistence. Malar J. 2009;8:309.
Russell TL, et al. Impact of promoting longer-lasting insecticide treatment of bednets upon malaria transmission in a rural Tanzanian setting with pre-existing high coverage of untreated nets. Malar J. 2010;9:187.
Chaki PP et al. An affordable, quality-assured community-based system for high-resolution entomological surveillance of vector mosquitoes that reflects human malaria infection risk patterns. Malar J. 2012;11(1):172.
Lwetoijera DW et al. A need for better housing to further reduce indoor malaria transmission in areas with high bed net coverage. Parasit Vectors. 2013;6(1):1–9.
Govella NJ et al. Impregnating hessian strips with the volatile pyrethroid transfluthrin prevents outdoor exposure to vectors of malaria and lymphatic filariasis in urban Dar es Salaam, Tanzania. Parasit Vectors. 2015;8(1):1–9.
Russell T et al. Impact of promoting longer-lasting insecticide treatment of bed nets upon malaria transmission in a rural Tanzanian setting with pre-existing high coverage of untreated nets. Malar J. 2010;9:62.
Russell TL et al. Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors. Proc R Soc Lond [Biol]. 2011;278(1721):3142–51.
Beier JC, Killeen GF, Githure JI. Short report: entomologic inoculation rates and Plasmodium falciparum malaria prevalence in Africa. Am J Trop Med Hyg. 1999;61(1):109.
Smith DL et al. Revisiting the basic reproductive number for malaria and its implications for malaria control. PLoS Biol. 2007;5(3):e42.
Huho B et al. Consistently high estimates for the proportion of human exposure to malaria vector populations occurring indoors in rural Africa. Int J Epidemiol. 2013;42(1):235–47.
Russell T et al. Increased proportions of outdoor feeding among residual malaria vector populations following increased use of insecticide-treated nets in rural Tanzania. Malar J. 2011;10(1):80.
Chaki PP et al. Community-owned resource persons for malaria vector control: enabling factors and challenges in an operational programme in Dar es Salaam, United Republic of Tanzania. Hum Resour Health. 2011;9:21.
Dongus S et al. Participatory mapping of target areas to enable operational larval source management to suppress malaria vector mosquitoes in Dar es Salaam, Tanzania. Int J Health Geogr. 2007;6:37.
Dongus S et al. Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania. Geospat Health. 2009;3(2):189–210.
Fillinger U et al. A tool box for operational mosquito larval control: preliminary results and early lessons from the Urban Malaria Control Programme in Dar es Salaam, Tanzania. Malar J. 2008;7:20.
Silver JB, M.W. Service, Mosquito ecology. Field sampling methods. 3rd ed. Dordrecht, the Netherlands: Springer; 2008.
WHO. Guidelines for Testing Mosquito Adulticides for Indoor Residual Spraying and Treatment of Mosquito Nets. Geneva: World Health Organization; 2006.
Okumu FO et al. A modified experimental hut design for studying responses of disease-transmitting mosquitoes to indoor interventions: the Ifakara experimental huts. PLoS One. 2012;7(2):e30967.
Burkot T et al. Identification of malaria-infected mosquitoes by a two-site enzyme-linked immunosorbent assay. AmJTrop Med Hyg. 1984;33(2):227.
Jones C et al. A metadata-driven framework for generating field data entry interfaces in ecology. Ecol Inform. 2007;2(3):270–8.