Table 1.
Site | Country | Start and end of HDSS (from 1 January to 31 December) | Settlement type | Person-years at risk (exposure) | Probability of child death: 5q0 | Probability of adult death: 45q15 | In-migration rate | Out-migration rate | HIV prevalence as % in adults aged 15–49 (2010) [46] | Gross cell product in US$ at purchase power parity exchange rates (2005) [47] |
---|---|---|---|---|---|---|---|---|---|---|
Nanoro | Burkina Faso | 2009–2014 | Rural | 324,630 | 0.06 | 0.20 | 85.70 | 126.54 | 1.0 | 1.015 |
Nouna | Burkina Faso | 1998–2015 | Mostly rural | 1 228,023 | 0.11 | 0.26 | 75.72 | 106.14 | 0.8 | 0.182 |
Ouagadougou | Burkina Faso | 2009–2015 | Urban | 554,584 | 0.05 | 0.18 | 100.54 | 141.86 | 1.7 | 2.132 |
Taabo | Cote d’Ivoire | 2009–2016 | Mostly rural | 316,338 | 0.10 | 0.27 | 101.76 | 148.39 | 3.9 | 0.944 |
Gilgel Gibe | Ethiopia | 2006–2015 | Mostly rural | 500,458 | 0.09 | 0.24 | 38.59 | 58.06 | 0.5 | 1.237 |
Kilte Awulaelo | Ethiopia | 2010–2014 | Mostly rural | 325,211 | 0.04 | 0.11 | 24.72 | 73.91 | 1.2 | 0.553 |
Kersa | Ethiopia | 2008–2016 | Mostly rural | 625,960 | 0.10 | 0.29 | 10.21 | 29.60 | 1.0 | 0.740 |
Harar Urban | Ethiopia | 2012–2016 | Urban | 173,915 | 0.01 | 0.19 | 58.26 | 116.94 | 1.0 | 0.740 |
Dabat | Ethiopia | 2009–2015 | Mostly rural | 343,874 | 0.03 | 0.20 | 32.48 | 62.94 | 1.2 | 0.590 |
Arba Minch | Ethiopia | 2010–2015 | Mostly rural | 406,654 | 0.04 | 0.16 | 43.00 | 59.42 | 1.1 | 2.029 |
Navrongo | Ghana | 1994–2014 | Mostly rural | 1 552,935 | 0.12 | 0.38 | 111.37 | 109.36 | 1.4 | 0.111 |
Kintampo | Ghana | 2006–2014 | Mostly rural | 1 133,005 | 0.06 | 0.26 | 97.62 | 124.22 | 1.6 | 0.275 |
Dodowa | Ghana | 2006–2011 | Mostly rural | 637,472 | 0.03 | 0.29 | 93.80 | 131.77 | 2.3 | 1.222 |
Farafenni | Gambia | 1990–2015 | Mostly rural | 773,793 | 0.09 | 0.26 | 81.95 | 106.89 | 1.8 | 1.306 |
Nairobi | Kenya | 2003–2015 | Urban | 770,322 | 0.07 | 0.33 | 199.37 | 270.16 | 6.2 | 2.502 |
Kombewa | Kenya | 2011–2015 | Rural | 649,740 | 0.06 | 0.30 | 76.11 | 93.83 | 4.4 | 4.386 |
Karonga | Malawi | 2003–2016 | Mostly rural | 472,001 | 0.06 | 0.30 | 78.03 | 104.25 | 9.0 | 0.360 |
Chokwe | Mozambique | 2010–2015 | Mostly rural | 461,903 | 0.07 | 0.40 | 66.76 | 123.63 | 25.8 | 0.473 |
Nahuche | Nigeria | 2011–2014 | Rural | 526,069 | 0.27 | 0.26 | 7.90 | 24.40 | 1.4 | 1.996 |
Bandafassi | Senegal | 1990–2016 | Rural | 300,114 | 0.18 | 0.29 | 35.51 | 23.01 | 1.4 | 0.073 |
Mlomp | Senegal | 1990–2016 | Rural | 210,522 | 0.08 | 0.22 | 76.14 | 77.42 | 1.6 | 0.559 |
Niakhar | Senegal | 1990–2016 | Rural | 880,616 | 0.12 | 0.22 | 56.61 | 49.83 | 0.4 | 1.306 |
Ifakara Rural | Tanzania | 1997–2014 | Rural | 1 502,326 | 0.10 | 0.28 | 102.47 | 158.80 | 5.3 | 0.476 |
Rufiji | Tanzania | 1999–2014 | Mostly rural | 1 229,392 | 0.09 | 0.28 | 74.62 | 115.20 | 4.6 | 1.176 |
Magu | Tanzania | 1994–2013 | Rural | 446,678 | 0.10 | 0.37 | 167.17 | 211.72 | 5.8 | 0.816 |
Iganga/Mayuge | Uganda | 2005–2015 | Mostly rural | 681,290 | 0.09 | 0.23 | 92.07 | 127.37 | 4.8 | 3.017 |
Agincourt | South Africa | 1993–2016 | Rural | 1 950,892 | 0.05 | 0.38 | 61.18 | 90.29 | 22.3 | 1.070 |
Dimamo | South Africa | 1996–2016 | Rural | 362,059 | 0.02 | 0.33 | 31.04 | 40.13 | 12.9 | 3.400 |
AHRI | South Africa | 2000–2016 | Mostly rural | 1 142,236 | 0.06 | 0.54 | 84.83 | 122.35 | 26.1 | 0.334 |