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Analysis of the sporozoite ELISA for estimating infection rates in M ozambican anophelines
Author(s) -
CHARLWOOD J. D.,
TOMÁS E. V. E.,
CUAMBA N.,
PINTO J.
Publication year - 2015
Publication title -
medical and veterinary entomology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 82
eISSN - 1365-2915
pISSN - 0269-283X
DOI - 10.1111/mve.12084
Subject(s) - biology , anopheles gambiae , sampling (signal processing) , veterinary medicine , virology , malaria , immunology , computer vision , medicine , filter (signal processing) , computer science
Comparisons were undertaken to investigate cost‐effective methods of implementing the enzyme‐linked immunosorbent assay ( ELISA ) for sporozoite determination in anophelines when large numbers require processing. Comparisons between ELISA plate reader and visual assessments were performed with A nopheles funestus and A nopheles gambiae s.l. ( D iptera: C ulicidae), as were comparisons between whole‐body mosquito samples, heads and thoraces, and abdomens alone. Rates obtained from pools of five or 10 mosquitoes were compared with those for individual mosquitoes, as were rates obtained using different sampling methods. A total of 41 792 A n. funestus and 9431 A n. gambiae s.l. collected in light traps, and 22 323 A n. funestus and 6860 A n. gambiae s.l . from exit collections were analysed. Visual assessments gave results similar to those of machine readings. Sporozoite rates were similar in both species, as were rates by collection method. The use of whole mosquitoes increased estimates of infection rate by 0.6%. Pool size did not affect infection rates of A n. gambiae s.l. , but rates were higher among individually tested A n. funestus than among those tested in pools. For large‐scale surveys, the use of whole mosquitoes in pools of 10 mosquitoes, with correction for overestimation, and the noting of results according to a simple three‐stage visual assessment of positivity is the most cost‐effective approach and is sufficient to obtain reliable data for comparative purposes.