Geographical distribution of risk factors for invasive non-typhoidal Salmonella at the subnational boundary level in sub-Saharan Africa

Table 1 Previous surveillance sites

Article	Country	Province	Site	Age group	iNTS episode^e	Blood culture	Proportion of iNTS (per 1000 blood cultures)	Source
Lunguya et al.	Democratic Republic of Congo	Bas Congo	Kinsantu	Overall	114	2508	45.5	[20]
		Kinshasa	Kinshasa town	Overall	63	5499	11.5
		Bandundu	Center^a	Overall	1	73	13.7
		Equateur	Bwamanda	Overall	29	403	72.0
		Kasai-Occidental	Ilebo^{a, b}	Overall	0	2	0.0
		Kasai-Oriental	Center^a	Overall	1	26	38.5
		Orientale	Kisangani	Overall	18	1123	16.0
Marks et al.^c	Burkina Faso	Ouagadougou	Nioko2 & Polesgo^d	Overall	60	1674	35.7	[21]
	Ghana	Asante	Asante Akim North	0–14.9 yo	145	2651	54.8
	Senegal	Dakar	Pikine	Overall	4	1058	3.8
Tapia et al.	Mali	Bamako	Bamako & Koulikoro	0–15.9 yo	667	26,126	25.5	[22]

^aIn Bandundu, Kasai-Occidental, and Kasai-Oriental, there were no fixed surveillance sites as samples were collected on purpose (i.e. suspicion of outbreaks). Thus, the centroids of the three provinces were used instead
^bGiven that there were only two blood cultures taken in Kasai-Occidental, it was possible to identify the location based on email correspondences with the authors of the article
^cAmong all countries reported by Marks et al. [21], the current table only shows the countries where corresponding DHS datasets are available. For other countries, see Marks et al. [21]
^dThe two sites in Burkina Faso were adjacent, thus a single set of geo-coordinates was used
^eIn the Democratic Republic of Congo, the number of iNTS cases was the sum of Typhimurium and Enteritidis reported by Lunguya et al. There were no adjusted iNTS cases available in Senegal, thus raw cases were applied

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