Table 1.

Characteristics that may influence COVID-19 outcomes of selected sub-Saharan countries

	Pop. (×10⁶)^*	Age > 65 years (%)^*	Diabetes (%)^†	BMI > 25 (%)^‡	Urban (%)^*	GDP/capita (US$)^*	Health spending/capita (US$)^*	Service coverage^§	Beds/100 K^‡	MDs/100 K^‖	Nurses/100 K^‖
Angola	31	2	5	24	55	3,432	114	40	80	22	41
Burkina Faso	20	2	7	20	40	715	44	40	40	9	88
Cotê d’Ivoire	84	3	2	29	66	1,716	70	47	40	23	60
DR Congo	25	3	6	22	29	562	19	41	80	7	111
Eq Guinea	1	2	6	25	44	10,262	301	45	210	40	50
Ethiopia	109	4	4	18	51	772	25	39	30	8	71
Ghana	30	3	3	29	72	2,202	67	47	90	14	235
Kenya	51	2	3	23	21	1,711	77	55	140	16	117
Liberia	5	3	2	28	56	677	57	39	80	4	53
Niger	22	3	2	20	27	414	29	37	30	4	27
Nigeria	196	3	3	26	51	2,028	74	42	50	38	118
Rwanda	12	3	5	22	16	773	49	57	160	13	120
South Africa	58	5	13	52	50	6,374	499	69	280	91	131
Sub-Saharan Africa	1,078	3	5	–	17	1,586	78	–	91	–	–
United States	327	16	11	68	82	62,795	10,246	84	290	261	1,455
Italy	60	23	5	64	70	34,483	2,840	82	340	398	574
China	1,393	11	9	34	59	9,771	441	79	420	198	266
World	7,594	9	8	–	66	11,313	913	–	270	–	–

BMI, body mass index; GDP, gross domestic product.

2018 Worldbank. World Development Indicators. https://databank.worldbank.org/indicator/NY.GDP.PCAP.CD/1ff4a498/Popular-Indicators#.

^†

2019 International Diabetes Foundation. Age-adjusted rates. https://www.diabetesatlas.org/en/.

^‡

2015–2019 WHO. The Global Health Observatory. https://www.who.int/data/gho/data/indicators.

^§

2017 WHO. The Global Health Observatory. https://apps.who.int/gho/portal/uhc-cabinet-wrapper-v2.jsp?id=1010501. Service coverage is an index composed of measures of financial risk protection, access to quality essential healthcare services, and access to safe, effective, quality, and affordable essential medicines and vaccines. Scored 0–100.

^‖

2014–2018 WHO World Health Statistics data visualizations dashboard. https://apps.who.int/gho/data/node.sdg.3-c-data?lang=en.