| Literature DB >> 33469475 |
Kyndall C Dye-Braumuller1, Mufaro Kanyangarara2.
Abstract
PURPOSE OF REVIEW: Malaria poses a threat to nearly half of the world's population, and recent literature in the USA is lacking regarding understanding risk for local outbreaks. This article aims to review Anopheles mosquito data, vector-borne disease outbreak preparedness, and human travel data from large international gateway cities in an effort to examine risk for localized outbreaks. RECENTEntities:
Keywords: Locally acquired; Malaria; Plasmodium; Preparedness; USA
Year: 2021 PMID: 33469475 PMCID: PMC7808401 DOI: 10.1007/s40475-020-00224-z
Source DB: PubMed Journal: Curr Trop Med Rep
ELC-participating states reporting Anopheles spp. to MosquitoNET (January, 2016–July, 2020) and from personal communication
| State | # counties | # counties reporting | % counties reporting | # counties with malaria vectors | % counties with malaria vectors |
|---|---|---|---|---|---|
| AL | 67 | 10 | 14.93 | 7 | 10.45 |
| AR | 75 | 27 | 36.00 | 21 | 28.00 |
| CO | 64 | 1 | 1.56 | 1 | 1.56 |
| DC* | 1 | 1 | 100.00 | 1 | 100.00 |
| FL | 67 | 10 | 14.93 | 10 | 14.93 |
| GA | 159 | 142 | 89.31 | 135 | 84.91 |
| IA | 99 | 30 | 30.30 | 30 | 30.30 |
| ID | 44 | 3 | 6.82 | 2 | 4.55 |
| IL | 102 | 1 | 0.98 | 1 | 0.98 |
| IN | 92 | 65 | 70.65 | 65 | 70.65 |
| KS | 105 | 3 | 2.86 | 3 | 2.86 |
| KY | 120 | 27 | 22.50 | 25 | 20.83 |
| MD | 23 | 12 | 52.17 | 12 | 52.17 |
| MI | 83 | 21 | 25.30 | 21 | 25.30 |
| MN | 87 | 1 | 1.15 | 1 | 1.15 |
| MO | 114 | 42 | 36.84 | 41 | 35.96 |
| MS | 82 | 52 | 63.41 | 52 | 63.41 |
| NC | 100 | 23 | 23.00 | 23 | 23.00 |
| NE | 93 | 34 | 36.56 | 32 | 34.41 |
| NJ | 21 | 7 | 33.33 | 7 | 33.33 |
| NM | 33 | 10 | 30.30 | 1 | 3.03 |
| OH | 88 | 79 | 89.77 | 79 | 89.77 |
| OK | 77 | 1 | 1.30 | 1 | 1.30 |
| PA | 67 | 63 | 94.03 | 60 | 89.55 |
| RI | 5 | 5 | 100.00 | 5 | 100.00 |
| SC | 46 | 24 | 52.17 | 24 | 52.17 |
| SD | 66 | 10 | 15.15 | 8 | 12.12 |
| TN | 95 | 46 | 48.42 | 45 | 47.37 |
| TX | 254 | 31 | 12.20 | 29 | 11.42 |
| WA | 39 | 2 | 5.13 | 2 | 5.13 |
| WI | 72 | 4 | 5.56 | 4 | 5.56 |
| WV | 55 | 29 | 52.73 | 29 | 52.73 |
| GU** | 1 | 1 | 100.00 | Unknown | Unknown |
*DC: Although DC is not technically a state, it is regarded as such as with a single county in this database
**GU: Guam, US territory and has no counties—thus it is regarded as one large county due to its small size
Gateway cities and reported Anopheles spp. within each county (data from year-end June 2019)
| State | Gateway city | County | Major airport | Airport rank† | Malaria vector species reported |
|---|---|---|---|---|---|
| FL | Miami | Miami-Dade | MIA | 3 | |
| IL | Chicago | Cook | ORD | 6 | None reported |
| GA | Atlanta | Clayton | ATL | 7 | |
| TX | Houston | Harris | IAH | 8 | |
| TX | Dallas | Dallas**/Tarrant | DFW | 9 | |
| FL | Miami | Broward | FLL | 10 | |
| DC | Washington DC* | DC | IAD | 11 | |
| FL | Orlando | Orange | MCO | 13 | |
| WA | Seattle | King | SEA | 14 | None reported |
| PA | Philadelphia | Philadelphia | PHL | 16 | |
| MI | Detroit | Wayne | DTW | 17 | |
| NC | Charlotte | Mecklenburg | CLT | 19 | |
| MN | Minneapolis | Hennepin | MSP | 20 | None reported |
| CO | Denver | Denver | DEN | 21 | None reported |
| GU | Tamuning | ***Guam | GUM | 22 | Unknown |
| MD | Baltimore | Anne Arundel | BWI | 25 | |
| FL | Tampa | Hillsborough | TPA | 27 | None reported |
| TX | Houston | Harris | HOU | 29 | |
| IL | Chicago | Cook | MDW | 34 | None reported |
| GU | Saipan | ***Guam | SPN | 35 | Unknown |
| TX | Austin | Travis | AUS | 36 | |
| TX | San Antonio | Bexar | SAT | 38 | |
| NC | Raleigh/Durham | Wake | RDU | 39 | |
| FL | Fort Myers | Lee | RSW | 40 |
*Washington DC airports are both located in Virginia, and there is technically not a county for these regions
**Dallas/Fort Worth International Airport is straddling the Dallas and Tarrant county line; species recorded in both counties are listed here
***Guam does not have any official counties, this territory is regarded as one county
†Airport rank indicates the US Department of Transportation’s ranking among the Top 40: the smaller the number, the higher the number of international passengers traveling through the airport
††Species presence data provided through personal communication (I. Unlu)
†††Species presence data provided through personal communication (Lee County Mosquito Control District)
States with additional airports in the US Top 40 International Air Passenger and Freight airports which do not report Anopheles spp. to MosquitoNET include AZ, NY, CA, NJ, MA, HI, NV, UT, OR, and PR
Overall risk factors for malaria by state
| State | # annual malaria cases (2016) | # annual malaria cases (5-year avg) | # malaria-vectoring | # malaria-vectoring | # passengers through airports in US Top 40 gateways | Vector-borne disease outbreak NACCHO rank* |
|---|---|---|---|---|---|---|
| AL | 9 | 10.6 | 5 | 4 | - | 4 |
| AK | 2 | 4.4 | 4 | - | - | 5 |
| AZ | 40 | 27.0 | - | 1 | 2,074,481 | 4 |
| AR | 5 | 6.0 | - | 4 | - | 5 |
| CA | 125 | 118.2 | - | 2 | 43,302,579 | 2 |
| CO | 28 | 29.8 | 1 | 2 | 2,993,941 | 5 |
| CT | 17 | 16.6 | - | 3 | - | 5 |
| DC | 25 | 19.0 | 1 | 3 | 9,224,597 | - |
| DE | 14 | 7.0 | - | 4 | - | 1 |
| FL | 79 | 77.0 | 4 | 4 | 37,465,037 | 2 |
| GA | 69 | 77.6 | 3 | 4 | 12,223,120 | 4 |
| HI | 1 | 3.2 | - | - | 5,303,138 | 1 |
| ID | 3 | 4.6 | 2 | 2 | - | 3 |
| IL | 65 | 61.0 | 2 | 3 | 14,401,498 | 4 |
| IN | 18 | 17.4 | 3 | 3 | - | 4 |
| IA | 23 | 18.4 | 3 | 3 | - | 5 |
| KS | 11 | 9.4 | - | 4 | - | 5 |
| KY | 17 | 15.4 | - | 3 | - | 5 |
| LA | 14 | 12.4 | - | 5 | - | 1 |
| ME | 9 | 8.4 | - | 2 | - | 5 |
| MD | 182 | 147.4 | 4 | 4 | - | 5 |
| MA | 95 | 75.2 | - | 3 | 7,338,653 | 2 |
| MI | 46 | 29.6 | 2 | 3 | 3,745,832 | 3 |
| MN | 66 | 55.8 | 1 | 2 | 2,997,221 | 3 |
| MS | 8 | 3.0 | 4 | 5 | - | 5 |
| MO | 20 | 17.6 | 4 | 4 | - | 5 |
| MT | 5 | 2.2 | - | 2 | - | 3 |
| NE | 6 | 6.8 | 2 | 2 | - | 5 |
| NV | 7 | 7.0 | - | 1 | 3,683,113 | 2 |
| NH | 14 | 9.2 | - | 2 | - | 3 |
| NJ | 86 | 91.6 | 2 | 4 | - | 3 |
| NM | 3 | 3.0 | 2 | 3 | - | 3 |
| NY | 339 | 296.4 | - | 3 | 49,927,217 | 4 |
| NC | 52 | 40.4 | 4 | 4 | 3,677,603 | 4 |
| ND | 7 | 4.8 | - | 2 | - | 4 |
| OH | 63 | 44.8 | 3 | 3 | - | 4 |
| OK | 8 | 11.2 | 2 | 4 | - | 4 |
| OR | 21 | 20.2 | - | 2 | 858,354 | 2 |
| PA | 84 | 73.6 | 3 | 3 | 3,919,874 | 5 |
| RI | 12 | 14.8 | 3 | 3 | - | 5 |
| SC | 15 | 8.4 | 3 | 4 | - | 5 |
| SD | 4 | 4.6 | 2 | 2 | - | 5 |
| TN | 26 | 22.2 | 4 | 4 | - | 3 |
| TX | 170 | 115.6 | 6 | 7 | 21,135,954 | 2 |
| UT | 9 | 7.2 | - | 1 | 993,506 | 2 |
| VT | 6 | 5.2 | - | 2 | - | 5 |
| VA | 75 | 77.4 | - | 4 | - | 3 |
| WA | 44 | 33.6 | 2 | 2 | 5,303,138 | 3 |
| WV | 2 | 3.4 | 3 | 2 | - | 5 |
| WI | 21 | 14.0 | 2 | 3 | - | 3 |
| WY | 5 | 2.0 | - | 2 | - | 3 |
| GU | 0 | 0.0 | Unknown | - | 3,160,468 | - |
| PR | 3 | 3.0 | - | - | 858,824 | - |
| VI | 0 | 0.2 | - | - | - | - |
*NACCHO rank: 1 being the most prepared (all vector control programs meet core competencies), 5 being the least (all vector control programs in the state do not meet all core competencies)
†Historical indicates mosquito species distributions published by Darsie and Ward (1981)