| Literature DB >> 18984482 |
Yuki Tada1, Nobuhiko Okabe, Mikio Kimura.
Abstract
BACKGROUND: Country-specific information on the incidence of malaria in travelers provides the most reliable data on which to base the pre-travel risk assessment. Some such studies have been conducted among Western travelers; however, to our knowledge, there have been no reports on Japanese travelers.Entities:
Mesh:
Year: 2008 PMID: 18984482 PMCID: PMC7106141 DOI: 10.1016/j.tmaid.2008.08.002
Source DB: PubMed Journal: Travel Med Infect Dis ISSN: 1477-8939 Impact factor: 6.211
Malaria incidence rates among Japanese travelers by destination country (no. of malaria cases per 100,000 travelers) (April 1999–December 2005)
| Region | Subregion | Country | No. of travelers | All species | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No. | Rate | No. | Rate | No. | Rate | No. | Rate | No. | Rate | ||||
| Asia | Southeast Asia | Laos | 127,900 | 3 | 2.3 | 2 | 1.6 | 1 | 0.8 | 0 | 0.0 | 0 | 0.0 |
| Cambodia | 537,200 | 1 | 0.2 | 0 | 0.0 | 1 | 0.2 | 0 | 0.0 | 0 | 0.0 | ||
| Thailand | 7,865,300 | 14 | 0.2 | 4 | 0.1 | 10 | 0.1 | 0 | 0.0 | 0 | 0.0 | ||
| Myanmar | 140,500 | 11 | 7.8 | 3 | 2.1 | 7 | 5.0 | 0 | 0.0 | 1 | 0.7 | ||
| Malaysia | 2,278,400 | 1 | 0.0 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | ||
| Singapore | 4,676,100 | 1 | 0.0 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | ||
| Philippines | 2,487,500 | 7 | 0.3 | 3 | 0.1 | 4 | 0.2 | 0 | 0.0 | 0 | 0.0 | ||
| Indonesia | 3,927,100 | 70 | 1.8 | 14 | 0.4 | 54 | 1.4 | 2 | 0.1 | 0 | 0.0 | ||
| South Asia | India | 576,000 | 32 | 5.6 | 5 | 0.9 | 27 | 4.7 | 0 | 0.0 | 0 | 0.0 | |
| Pakistan | 79,700 | 3 | 3.8 | 0 | 0.0 | 3 | 3.8 | 0 | 0.0 | 0 | 0.0 | ||
| Nepal | 191,600 | 2 | 1.0 | 0 | 0.0 | 2 | 1.0 | 0 | 0.0 | 0 | 0.0 | ||
| Sri Lanka | 99,300 | 1 | 1.0 | 1 | 1.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | ||
| Africa | East Africa | Ethiopia | 11,200 | 5 | 44.6 | 2 | 17.9 | 3 | 26.8 | 0 | 0.0 | 0 | 0.0 |
| Kenya | 112,700 | 9 | 8.0 | 6 | 5.3 | 1 | 0.9 | 1 | 0.9 | 1 | 0.9 | ||
| Uganda | 5600 | 9 | 160.7 | 8 | 142.9 | 0 | 0.0 | 1 | 17.9 | 0 | 0.0 | ||
| Tanzania | 40,000 | 13 | 32.5 | 10 | 25.0 | 0 | 0.0 | 2 | 5.0 | 1 | 2.5 | ||
| Madagascar | 20,900 | 5 | 23.9 | 5 | 23.9 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | ||
| West Africa | Nigeria | 60,900 | 32 | 52.5 | 28 | 46.0 | 1 | 1.6 | 3 | 4.9 | 0 | 0.0 | |
| Ghana | 19,200 | 27 | 140.6 | 26 | 135.4 | 1 | 5.2 | 0 | 0.0 | 0 | 0.0 | ||
| Mali | 12,800 | 15 | 117.2 | 13 | 101.6 | 2 | 15.6 | 0 | 0.0 | 0 | 0.0 | ||
| Central Africa | Central African Republic | 400 | 1 | 250.0 | 0 | 0.0 | 1 | 250.0 | 0 | 0.0 | 0 | 0.0 | |
| Chad | 400 | 1 | 250.0 | 1 | 250.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | ||
| Zambia | 18,100 | 2 | 11.0 | 1 | 5.5 | 1 | 5.5 | 0 | 0.0 | 0 | 0.0 | ||
| Southern Africa | South Africa | 165,200 | 4 | 2.4 | 4 | 2.4 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | |
| Oceania | Papua New Guinea | 26,000 | 37 | 142.3 | 10 | 38.5 | 26 | 100.0 | 1 | 3.8 | 0 | 0.0 | |
| Latin America | Brazil | 338,800 | 10 | 3.0 | 1 | 0.3 | 9 | 2.7 | 0 | 0.0 | 0 | 0.0 | |