Rapid profiling of Plasmodium parasites from genome sequences to assist malaria control

Table 2 Accuracy of the Malaria-Profiler library for geographical predictions

Parasite	No. markers*	Region	No. samples	No. predicted	% Sensitivity***	% Specificity***
P. falciparum	8	Africa**	4181	4138	99.0	98.3
P. falciparum	10	Eastern Africa	1153	1051	91.2	99.9
P. falciparum	10	Western Africa	3028	2964	97.9	99.1
P. falciparum	10	Horn of Africa	16	16	100	100
P. falciparum	8	Oceania	144	132	91.7	100
P. falciparum	6	South America	48	45	93.8	100
P. falciparum	9	Southeast Asia	2741	2626	95.8	99.9
P. vivax	9	East Africa	158	154	97.5	100
P. vivax	11	South America	455	382	84.0	100
P. vivax	36	Asia	889	799	89.9	99.8
P. vivax	14	South Asia	195	157	80.5	99.9
P. vivax	13	Southeast Asia (SEA)	537	488	91.0	99.6
P. vivax	9	Southern SEA	157	141	89.8	99.3
P. knowlesi	7	Borneo-Mf	53	52	98.1	98.9
P. knowlesi	6	Borneo-Mn	40	39	97.5	100
P. knowlesi	7	Peninsular	50	50	100	100

^*https://github.com/jodyphelan/malaria-db
^**Without Horn of Africa
^***Assuming that the meta data location is the gold standard
Peninsular, Non-Borneo; Borneo-Mf, Borneo – Macaca fascularis; Borneo-Mn, Borneo – Macaca nemestrina; N, sample size

ISSN: 1756-994X