| Literature DB >> 21035842 |
Richard G A Feachem1, Allison A Phillips, Jimee Hwang, Chris Cotter, Benjamin Wielgosz, Brian M Greenwood, Oliver Sabot, Mario Henry Rodriguez, Rabindra R Abeyasinghe, Tedros Adhanom Ghebreyesus, Robert W Snow.
Abstract
In the past 150 years, roughly half of the countries in the world eliminated malaria. Nowadays, there are 99 endemic countries-67 are controlling malaria and 32 are pursuing an elimination strategy. This four-part Series presents evidence about the technical, operational, and financial dimensions of malaria elimination. The first paper in this Series reviews definitions of elimination and the state that precedes it: controlled low-endemic malaria. Feasibility assessments are described as a crucial step for a country transitioning from controlled low-endemic malaria to elimination. Characteristics of the 32 malaria-eliminating countries are presented, and contrasted with countries that pursued elimination in the past. Challenges and risks of elimination are presented, including Plasmodium vivax, resistance in the parasite and mosquito populations, and potential resurgence if investment and vigilance decrease. The benefits of elimination are outlined, specifically elimination as a regional and global public good. Priorities for the next decade are described.Entities:
Mesh:
Year: 2010 PMID: 21035842 PMCID: PMC3044848 DOI: 10.1016/S0140-6736(10)61270-6
Source DB: PubMed Journal: Lancet ISSN: 0140-6736 Impact factor: 79.321
Figure 1Categorisation of countries as malaria free, eliminating malaria, or controlling malaria, 2010
Figure 2Factors that determine technical feasibility of elimination
Figure 3Categorisation of countries according to whether human malaria is predominantly caused by Plasmodium falciparum, Plasmodium vivax, or both P falciparum and P vivax, 2010
Demographic, economic, health, and aid characteristics of the 32 malaria-eliminating countries
| Kyrgyzstan | 5·2 | 66 | 740 | 35 | 57 | Y | N | Y |
| North Korea | 23·8 | 66 | .. | 14 | 14 | Y | N | N |
| Tajikistan | 6·8 | 67 | 600 | 21 | 77 | Y | N | Y |
| Uzbekistan | 27·3 | 68 | 910 | 30 | 49 | Y | N | Y |
| Azerbaijan | 8·6 | 68 | 3830 | 102 | 73 | Y | N | Y |
| Bhutan | 0·7 | 63 | 1900 | 49 | 27 | Y | N | Y |
| Cape Verde | 0·5 | 70 | 3130 | 112 | 21 | Y | N | Y |
| China | 1324·6 | 74 | 2940 | 94 | 59 | Y | N | N |
| El Salvador | 6·1 | 72 | 3480 | 181 | 38 | Y | N | N |
| Georgia | 4·3 | 72 | 2470 | 147 | 78 | Y | N | Y |
| Iran | 71·9 | 72 | 3540 | 215 | 49 | Y | N | N |
| Iraq | 30·7 | 63 | .. | .. | 21 | Y | N | N |
| Paraguay | 6·2 | 74 | 2180 | 117 | 61 | Y | N | N |
| Philippines | 90·3 | 71 | 1890 | 52 | 67 | Y | N | N |
| São Tomé and Príncipe | 0·1 | 61 | 1020 | 49 | 15 | Y | Y | Y |
| Solomon Islands | 0·5 | 67 | 1180 | 44 | 8 | Y | N | Y |
| Sri Lanka | 20·1 | 71 | 1780 | 62 | 52 | Y | N | Y |
| Swaziland | 1·1 | 48 | 2520 | 155 | 34 | Y | N | N |
| Vanuatu | 0·2 | 69 | 2330 | 67 | 35 | Y | N | Y |
| Algeria | 34·3 | 71 | 4260 | 148 | 18 | Y | N | N |
| Argentina | 39·8 | 75 | 7200 | 551 | 54 | N | N | N |
| Botswana | 1·9 | 56 | 6470 | 379 | 23 | N | N | N |
| Costa Rica | 4·5 | 79 | 6060 | 402 | 31 | N | N | N |
| Dominican Republic | 9·9 | 72 | 4390 | 206 | 63 | Y | N | N |
| Malaysia | 27·0 | 72 | 6970 | 259 | 55 | N | N | N |
| Mexico | 106·3 | 76 | 9980 | 527 | 55 | N | N | N |
| Namibia | 2·1 | 59 | 4200 | 281 | 33 | Y | N | N |
| Panama | 3·4 | 76 | 6180 | 380 | 31 | N | N | N |
| South Africa | 48·6 | 54 | 5820 | 425 | 62 | N | N | N |
| Turkey | 73·9 | 73 | 9340 | 352 | 27 | N | N | N |
| Saudi Arabia | 24·6 | 71 | 15 500 | 492 | 23 | N | N | N |
| South Korea | 48·6 | 79 | 21 530 | 1168 | 44 | N | N | N |
| Total population | 2053·9 | |||||||
..=data not available. GNI=gross national income. GFATM=the Global Fund to Fight AIDS, Tuberculosis and Malaria. PMI=the President's Malaria Initiative of the US Government. IDA=the International Development Association. Y=yes. N=no. All data are from standard internet sources provided by the World Bank, WHO, Central Intelligence Agency, and the Global Fund to Fight AIDS, Tuberculosis and Malaria. Data are from the most recent year available, mostly 2006–08.
Atlas method (US dollars): the Atlas conversion factor is used by the World Bank to facilitate cross-country comparisons of national income and health expenditure. The method uses the 3-year average of the local currency exchange rate to US dollars, adjusting for inflation.
R10 refers to applicant eligibility for Round 10 in 2010.
São Tomé and Príncipe is not among the PMI 15 focus countries but is receiving support from the governments of Brazil and the USA for its elimination programme. Adapted from reference 2 and reproduced with permission of the authors.