Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches

Briët, Olivier J T; Huho, Bernadette J; Gimnig, John E; Bayoh, Nabie; Seyoum, Aklilu; Sikaala, Chadwick H; Govella, Nicodem; Diallo, Diadier A; Abdullah, Salim; Smith, Thomas A; Killeen, Gerry F

doi:10.1186/s12936-015-0761-9

Table 2 Data used in the modelling and model results

From: Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches

Site/species	Number of traps nights		Number of mosquitoes		Model 1	Model 2
Site/species	LT	HLC	LT	HLC	α_s	α_s	γ_s
An. gambiae s.l.
Aduoyo Miyare	31	31	141	181	0.79 (0.63, 0.98)	0.36 (0.15, 0.63)	1.80 (1.29, 2.61)
Chisobe	44	44	507	275	1.83 (1.58, 2.12)	22.3 (12.3, 37.0)	0.55 (0.45, 0.68)
Kirindo	28	28	162	71	2.2 (1.69, 2.89)	0.57 (0.27, 0.89)	3.80 (2.16, 7.02)
Kobala	17	18	18	25	0.84 (0.48, 1.43)	0.57 (0.26, 0.95)	2.09 (1.19, 4.43)
Kourweogo	78	81	662	637	1.06 (0.95, 1.18)	0.40 (0.27, 0.56)	1.58 (1.38, 1.81)
Navrongo	76	76	3,316	3,865	0.86 (0.82, 0.90)	0.26 (0.19, 0.35)	1.39 (1.29, 1.48)
Nouna	78	80	1,834	812	2.39 (2.20, 2.60)	0.37 (0.29, 0.48)	1.58 (1.49, 1.67)
Nyamumba	43	43	277	130	2.09 (1.71, 2.57)	4.66 (2.51, 7.47)	0.75 (0.57, 1.01)
Oubritenga	108	113	771	791	0.97 (0.88, 1.08)	0.66 (0.49, 0.88)	1.18 (1.06, 1.32)
Rufiji	6	6	27	24		NA	NA
Sango Rota	32	32	31	87	0.41 (0.27, 0.60)	0.40 (0.16, 0.87)	0.62 (0.34, 0.99)
Ulanga 2004	22	44	1,005	6,403	0.33 (0.31, 0.36)	1.22 (0.41, 2.72)	0.75 (0.63, 0.91)
Ulanga 2006	36	18	4,008	1,477	1.36 (1.28, 1.44)	0.06 (0.03, 0.11)	2.92 (2.52, 3.40)
An. funestus s.l.
Aduoyo Miyare	29	29	41	45	0.97 (0.65, 1.44)	0.69 (0.40, 0.96)	5.98 (1.84, 17.5)
Chisobe	52	52	1,692	1,101	1.53 (1.43, 1.66)	9.8 (5.95, 15.56)	0.69 (0.6, 0.78)
Kirindo	5	5	1	4	NA	NA	NA
Kobala	3	3	4	1	NA	NA	NA
Kourweogo	34	33	23	14	1.68 (0.97, 2.99)	1.48 (0.89, 3.84)	2.06 (0.84, 5.41)
Navrongo	75	75	4,373	2,018	2.19 (2.08, 2.30)	0.06 (0.04, 0.08)	5.56 (5.03, 6.13)
Nouna	57	56	819	267	3.20 (2.78, 3.69)	0.42 (0.29, 0.57)	1.96 (1.76, 2.20)
Nyamumba	55	55	938	648	1.45 (1.31, 1.60)	4.33 (2.68, 6.59)	0.75 (0.65, 0.87)
Oubritenga	62	61	41	56	0.83 (0.55, 1.22)	0.72 (0.41, 1.05)	1.42 (0.62, 4.75)
Rufiji	5	5	37	1	NA	NA	NA
Sango Rota	1	1	0	1	NA	NA	NA
Ulanga 2004	22	40	41	70	1.13 (0.79, 1.61)	0.63 (0.35, 0.97)	5.49 (1.46, 13.3)
Ulanga 2006	22	11	24	4	2.20 (1.11, 5.21)	1.45 (0.56, 3.02)	3.25 (0.98, 18.1)

Numbers between parentheses are 95% credible intervals.
\(\alpha_{s}\) site specific sampling efficacy, \(\gamma_{s}\) exponent testing proportionality, NA not analysed because less than ten trap nights of data were available.

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