| Literature DB >> 30521525 |
José R Franco1, Giuliano Cecchi2, Gerardo Priotto1, Massimo Paone3, Abdoulaye Diarra4, Lise Grout1, Pere P Simarro5, Weining Zhao3, Daniel Argaw1.
Abstract
BACKGROUND: Human African trypanosomiasis (HAT) is a neglected tropical disease targeted for elimination 'as a public health problem' by 2020. The indicators to monitor progress towards the target are based on the number of reported cases, the related areas and populations exposed at various levels of risk, and the coverage of surveillance activities. Based on data provided by the National Sleeping Sickness Control Programmes (NSSCP), Non-Governmental Organizations (NGOs) and research institutions-and assembled in the Atlas of HAT-the World Health Organization (WHO) provides here an update to 2016 for these indicators, as well as an analysis of the epidemiological situation.Entities:
Mesh:
Year: 2018 PMID: 30521525 PMCID: PMC6283345 DOI: 10.1371/journal.pntd.0006890
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Total number of reported cases of HAT (gambiense and rhodesiense) per year (2000–2016).
The green line shows the milestones set in the WHO Roadmap for HAT elimination [3].
T. b. gambiense HAT: New cases reported between 2000 and 2016.
| Country | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Angola | 4,546 | 4,577 | 3,621 | 3,115 | 2,280 | 1,727 | 1,105 | 648 | 517 | 247 | 211 | 154 | 70 | 69 | 36 | 35 | 20 | 22,978 |
| Burkina Faso | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| Cameroon | 27 | 14 | 32 | 33 | 17 | 3 | 15 | 7 | 13 | 24 | 16 | 15 | 7 | 6 | 7 | 6 | 6 | 248 |
| Central African Republic | 988 | 718 | 572 | 539 | 738 | 666 | 460 | 654 | 1,194 | 1,054 | 395 | 132 | 381 | 59 | 194 | 147 | 101 | 8,992 |
| Chad | 153 | 138 | 715 | 222 | 483 | 190 | 276 | 97 | 196 | 510 | 232 | 276 | 197 | 195 | 95 | 67 | 54 | 4,096 |
| Congo | 111 | 894 | 1,005 | 717 | 873 | 398 | 300 | 189 | 182 | 87 | 87 | 61 | 39 | 20 | 21 | 36 | 18 | 5,038 |
| Côte d’Ivoire | 188 | 92 | 97 | 68 | 74 | 42 | 29 | 13 | 14 | 8 | 8 | 10 | 9 | 7 | 6 | 3 | 0 | 668 |
| Democratic Republic of the Congo | 16,951 | 17,300 | 13,816 | 11,459 | 10,339 | 10,249 | 8,013 | 8,155 | 7,318 | 7,178 | 5,624 | 5,590 | 5,969 | 5,649 | 3,205 | 2,347 | 1,768 | 140,930 |
| Equatorial Guinea | 16 | 17 | 32 | 23 | 22 | 17 | 13 | 15 | 11 | 7 | 8 | 1 | 2 | 3 | 0 | 0 | 3 | 190 |
| Gabon | 45 | 30 | 26 | 26 | 49 | 53 | 31 | 30 | 24 | 14 | 22 | 17 | 9 | 17 | 10 | 9 | 10 | 422 |
| Ghana | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
| Guinea | 52 | 72 | 132 | 130 | 95 | 94 | 48 | 69 | 90 | 79 | 68 | 57 | 70 | 78 | 33 | 29 | 108 | 1,304 |
| Nigeria | 14 | 14 | 26 | 31 | 10 | 21 | 3 | 0 | 0 | 0 | 2 | 3 | 2 | 0 | 0 | 0 | 1 | 127 |
| South Sudan | 1,801 | 1,919 | 3,121 | 3,061 | 1,742 | 1,853 | 789 | 469 | 623 | 373 | 199 | 272 | 317 | 117 | 63 | 45 | 17 | 16,781 |
| Uganda | 948 | 310 | 604 | 517 | 378 | 311 | 290 | 120 | 198 | 99 | 101 | 44 | 20 | 9 | 9 | 4 | 4 | 3,966 |
| Total | 25,841 | 26,095 | 23,799 | 19,941 | 17,100 | 15,624 | 11,372 | 10,466 | 10,380 | 9,680 | 6,973 | 6,632 | 7,092 | 6,230 | 3,679 | 2,729 | 2,110 | 205,743 |
Other historically T. b. gambiense HAT endemic countries not reporting cases but with surveillance activities are Benin, Mali, Niger, Senegal, Sierra Leone, and Togo. In the Gambia, Guinea Bissau and Liberia no cases are reported but no surveillance activity is known.
T. b. rhodesiense HAT: New cases reported between 2000 and 2016.
| Country | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kenya | 15 | 10 | 11 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 40 |
| Malawi | 35 | 38 | 43 | 70 | 48 | 41 | 58 | 50 | 49 | 39 | 29 | 23 | 18 | 35 | 32 | 30 | 35 | 673 |
| Mozambique | - | - | 1 | - | 1 | - | - | - | - | - | - | - | - | - | - | - | - | 2 |
| Uganda | 300 | 426 | 327 | 338 | 335 | 473 | 261 | 119 | 138 | 129 | 112 | 84 | 71 | 43 | 70 | 28 | 10 | 3,264 |
| United Republic of Tanzania | 350 | 277 | 229 | 113 | 159 | 185 | 127 | 126 | 59 | 14 | 5 | 1 | 4 | 2 | 1 | 2 | 4 | 1,658 |
| Zambia | 9 | 4 | 5 | 15 | 9 | 7 | 6 | 10 | 13 | 4 | 8 | 3 | 6 | 6 | 12 | 9 | 4 | 130 |
| Zimbabwe | - | - | - | - | - | 3 | - | - | 0 | 3 | 2 | 4 | 9 | 1 | 3 | 3 | 1 | 29 |
| Total | 709 | 755 | 616 | 536 | 552 | 709 | 453 | 305 | 259 | 190 | 156 | 115 | 110 | 87 | 118 | 72 | 54 | 5,796 |
Other historically T. b. rhodesiense HAT endemic countries not reporting cases are Burundi, Ethiopia and Rwanda. Botswana, Namibia and Swaziland are considered free of the vector for the transmission of T. b. rhodesiense HAT.
Fig 2Number of people screened by active case-finding surveys, in countries endemic for T. b. gambiense (2000–2016).
Concerning rhodesiense HAT, 72 and 54 cases were reported in 2015 and 2016 respectively, which constitute 2.5% of the total HAT reported cases. The cases reported in 2016 represent a reduction of 92.4% compared to the year 2000.
Fig 3(a) The distribution of human African trypanosomiasis. Period 2012–2016. (b) The areas at risk of HAT infection. Period 2012–2016. The maps were created with ArcGIS 10.0 software (http://desktop.arcgis.com/). The base layers include the Shuttle Radar Topography Mission (https://www2.jpl.nasa.gov/srtm/), the Vector Map Level 0 (http://earth-info.nga.mil/publications/vmap0.html), and the Global Administrative Unit Layers (http://www.fao.org/geonetwork/srv/en/main.home).
Fig 4Trends in areas at risk of gambiense and rhodesiense HAT where the disease is still considered as a public health problem (2000–2004 to 2012–2016).
The green line shows the milestones set by the WHO-NTD-STAG to achieve thfood e elimination of HAT as a public health problem by 2020.
People at risk of HAT that are potentially covered by facilities with diagnostic and treatment capabilities for HAT.
| Risk category | People at risk | People at risk covered by facilities with HAT capabilities | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Diagnosis | Treatment | ||||||||||||
| ≤ 1-hour travel | ≤ 3-hour travel | ≤ 5-hour travel | ≤ 1-hour travel | ≤ 3-hour travel | ≤ 5-hour travel | ||||||||
| (no. persons × 103) | (no. persons × 103) | % of at risk | (no. persons × 103) | % of at risk | (no. persons × 103) | % of at risk | (no. persons × 103) | % of at risk | (no. persons × 103) | % of at risk | (no. persons × 103) | % of at risk | |
| High and very high | 750 | 327 | 44 | 468 | 62 | 538 | 72 | 350 | 47 | 471 | 63 | 537 | 72 |
| Moderate | 7,494 | 3,152 | 42 | 5,598 | 75 | 6,523 | 87 | 3,125 | 42 | 5,571 | 74 | 6,537 | 87 |
| Low and very low | 44,891 | 27,251 | 61 | 35,912 | 80 | 40,191 | 90 | 20,070 | 45 | 33,817 | 75 | 38,678 | 86 |
| Total | 53,134 | 30,730 | 58 | 41,979 | 79 | 47,252 | 89 | 23,545 | 44 | 39,859 | 75 | 45,752 | 86 |
| High and very high | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Moderate | 286 | 172 | 60 | 248 | 87 | 269 | 94 | 143 | 50 | 224 | 78 | 254 | 89 |
| Low and very low | 3,935 | 1,350 | 34 | 2,727 | 69 | 3,300 | 84 | 864 | 22 | 2,423 | 62 | 3,000 | 76 |
| Total | 4,222 | 1,522 | 36 | 2,975 | 70 | 3,569 | 85 | 1,007 | 24 | 2,647 | 63 | 3,254 | 77 |