| Literature DB >> 30829565 |
Bianca C Carlos1,2, Luisa D P Rona3,4,5, George K Christophides3, Jayme A Souza-Neto1,2.
Abstract
Malaria remains a serious public health problem in Brazil despite a significant drop in the number of cases in the past decade. We conduct a comprehensive analysis of malaria transmission in Brazil to highlight the epidemiologically most relevant components that could help tackle the disease. We consider factors impacting on the malaria burden and transmission dynamics including the geographical occurrence of both autochthonous and imported infections, the distribution and abundance of malaria vectors and records of natural mosquito infections with Plasmodium. Our analysis identifies three discrete malaria transmission systems related to the Amazon rainforest, Atlantic rainforest and Brazilian coast, respectively. The Amazonian system accounts for 99% of all malaria cases in the country. It is largely due to autochthonous P. vivax and P. falciparum transmission by mosquitoes of the Nyssorhynchus subgenus, primarily Anopheles darlingi. Whilst P. vivax transmission is widespread, P. falciparum transmission is restricted to hotspot areas mostly in the States of Amazonas and Acre. This system is the major source of P. vivax exportation to the extra-Amazonian regions that are also affected by importation of P. falciparum from Africa. The Atlantic system comprises autochthonous P. vivax transmission typically by the bromeliad-associated mosquitoes An. cruzii and An. bellator of the Kerteszia subgenus. An. cruzii also transmits simian malaria parasites to humans. The third, widespread but geographically fragmented, system is found along the Brazilian coast and comprises P. vivax transmission mainly by An. aquasalis. We conclude that these geographically and biologically distinct malaria transmission systems require specific strategies for effective disease control.Entities:
Keywords: Amazon rainforest; Atlantic rainforest; Malaria hotspots; Malaria transmission; bromeliad malaria
Mesh:
Year: 2019 PMID: 30829565 PMCID: PMC6425916 DOI: 10.1080/20477724.2019.1581463
Source DB: PubMed Journal: Pathog Glob Health ISSN: 2047-7724 Impact factor: 2.894
Figure 1.Number of malaria cases in Brazil between 1960 and 2017.
The Plasmodium species responsible are shown with different colors. Until 1992, P. falciparum mixed infections are pooled with P. falciparum mono-infections. Source of data: Pan American Health Organization (PAHO), http://www.paho.org.
Figure 2.(a) Number of malaria cases in the Brazilian Amazonian States in 2015 (blue bars) and 2016 (red bars) and 2017 (green bars). (b) P. falciparum cases in municipalities of the Amazonian States. The mean number of cases in 2015 and 2016 is depicted with colour coding explained in the key. Municipalities with over 100 average cases are shown. AC, Acre; AM, Amazonas; AP, Amapá; MA, Maranhão; MT, Mato Grosso; PA, Pará; RO, Rondônia; RR, Roraima; TO, Tocantins.
Figure 3.Number of imported malaria cases in Brazilian Amazonian States.
(a) Total number of imported cases between Amazonian States in the period of 2003 to February 2016. (b) Total number of imported cases from neighboring countries in the period of 2014–2015. The start of each arrow indicates the likely origin of infection and the arrowhead indicates the number of locally diagnosed imported cases. AC, Acre; AM, Amazonas; AP, Amapá; MA, Maranhão; MT, Mato Grosso; PA, Pará; RO, Rondônia; RR, Roraima; TO, Tocantins; FG, French Guiana; G, Guiana; V, Venezuela. The total number of autochthonous cases is each State is shown in brackets. The data were taken from SIVEP, Epidemiological surveillance information system – 2016.
Figure 4.Map of probable origin of imported cases in extra-Amazonian Region.
Colors represents the different origins and the numbers show the proportion of infections by P. vivax (red color) and P. falciparum plus mixed infections (blue color). The graphs were made considering the total cases between 2007 to February 2016 (SINAN -Notification of injury information system – 2016) http://dtr2004.saude.gov.br/sinanweb/).
Malaria cases in states of the extra-Amazonian region in the period 2007–2016.
| Northeast | Midwest | Southeast | South | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Possible origin of infection and parasite species | AL | BA | CE | PB | PE | PI | SE | RN | DF | GO | MS | ES | MG | RJ | SP | PR | RS | SC |
| Rondônia (%) | 48 | 19 | 22.6 | 36 | 8 | 11 | 35 | 12 | 18 | 21 | 47 | 21.2 | 28 | 8 | 19 | 36 | 27 | 34 |
| Pará (%) | 3 | 10 | 17.2 | 19 | 4 | 13 | 5 | 13 | 13 | 26 | 12 | 2.4 | 17 | 4 | 7 | 8 | 8 | 9 |
| Amazonas (%) | 9 | 6 | 20.9 | 3 | 5 | 2 | 2 | 7 | 14 | 6 | 10 | 2.3 | 12 | 15 | 12 | 6 | 24 | 20 |
| Other States (%) | 10 | 5 | 16.2 | 9 | 6 | 12 | 23 | 19 | 16 | 12 | 18 | 4.3 | 12 | 9 | 10 | 12 | 17 | 20 |
| South America (%) | 3 | 2 | 8.1 | 3 | 1 | 33 | 0 | 6 | 10 | 12 | 1 | 0.3 | 3 | 4 | 4 | 8 | 2 | 4 |
| Africa (%) | 24 | 29 | 7.7 | 20.3 | 44 | 2 | 30 | 17 | 21 | 5 | 4 | 4.6 | 26 | 37 | 28 | 8 | 11 | 10 |
| Other Countries (%) | 2 | 24 | 5.7 | 9.4 | 26 | 11 | 5 | 18 | 7 | 12 | 4 | 4.9 | 2 | 14 | 10 | 3 | 10 | 2 |
| Autocthonous/Introduced (%) | 0 | 5 | 1.7 | 0 | 6 | 15 | 0 | 7 | 1 | 5 | 5 | 60 | 0 | 9 | 10 | 19 | 1 | 1 |
| Total Malaria Cases | 58 | 252 | 297 | 64 | 225 | 608 | 43 | 113 | 286 | 707 | 227 | 655 | 859 | 890 | 1830 | 836 | 157 | 269 |
| Total Imported Cases | 58 | 239 | 292 | 64 | 212 | 514 | 43 | 105 | 284 | 670 | 216 | 262 | 857 | 807 | 1652 | 680 | 155 | 266 |
| Total Imported Cases (%) | 100 | 95 | 98 | 100 | 94 | 85 | 100 | 93 | 99 | 95 | 95 | 40 | 100 | 91 | 90 | 81 | 99 | 99 |
| Total Malaria Cases | 58 | 252 | 297 | 64 | 225 | 608 | 43 | 113 | 286 | 707 | 227 | 655 | 859 | 890 | 1830 | 836 | 157 | 269 |
| 66 | 53 | 79 | 70 | 39 | 64 | 60 | 67 | 69 | 79 | 81 | 89 | 59 | 46 | 57 | 82 | 74 | 79 | |
| 29 | 42 | 16 | 22 | 59 | 27 | 30 | 25 | 30 | 15 | 14 | 8 | 27 | 50 | 34 | 14 | 24 | 16 | |
| 2 | 4 | 4 | 5 | 1 | 8 | 9 | 5 | 1 | 5 | 5 | 2 | 11 | 2 | 8 | 3 | 3 | 4 | |
| 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 1 | 0.3 | 0 | 0 | 0 | |
| 3 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0.8 | 0 | 0 | 0 | |
PI: Piauí; CE: Ceara, RN: Rio Grande do Norte, PB: Paraíba, PE: Pernambuco, AL: Alagoas, SE: Sergipe, BA: Bahia, GO: Goiás, DF: Distrito Federal, MG, Minas Gerais, ES: Espírito Santo, RJ: Rio de Janeiro, SP: São Paulo, MS, Mato Grosso do Sul, PR: Paraná, SC: Santa Catarina, RS: Rio Grande do Sul.
Figure 5.Distribution and vectorial capacity of Anopheles mosquitoes.
States are abbreviated as follows: AC, Acre; AM, Amazonas; AP, Amapá; MA, Maranhão; MT, Mato Grosso; PA, Pará; RO, Rondônia; RR, Roraima; TO, Tocantins; PI, Piauí; CE, Ceará; RN, Rio Grande do Norte; PB, Paraíba; PE, Pernambuco; AL, Alagoas; SE, Sergipe; BA, Bahia; MG, Minas Gerais. SP, São Paulo; ES, Espírito Santo; RJ, Rio de Janeiro; GO, Goiás; DF, Distrito Federal; MS, Mato Grosso do Sul; PR, Paraná; SC, Santa Catarina; RS, Rio Grande do Sul. Shaded (including colored) squares depict recorded presence of a mosquito species, while the color indicates detection of one or more parasite species as shown in the key. 1, An. albertoi; 2, An. albitarsis s.l.; 3, An. antunesi; 4, An. aquasalis; 5, An. argyritarsis; 6, An. arthuri; 7, An. benarrochi; 8, An. braziliensis; 9, An. darlingi; 10, An. deaneorum; 11, An. dunhami; 12, An. evansae; 13, An. galvaoi; 14, An. goeldii; 15, An. guarani; 16, An. halophylus; 17, An. ininii; 18, An. janconnae; 19, An. konderi; 20, An. lanei; 21, An. lutzii; 22, An. marajoara; 23, An. nigritarsis; 24, An. noroestensis; 25, An. nunesztovari s.l.; 26, An. oryzalimnetes; 27, An. oswaldoi s.l.; 28, An. parvus; 29, An. pristinus; 30, An. rangeli; 31, An. rondoni; 32, An. sawyer; 33, An. strode; 34, An. triannulatus s.l.; 35, An. kompi; 36, An. nimbus; 37, An. thomasi; 38, An. gilesi; 39, An. pseudotibiamaculatus; 40, An. squamifemur; 41, An. anchietai; 42, An. bustamentei; 43, An. costai; 44, An. eiseni; 45, An. evandroi; 46, An. fluminensis; 47, An. forattinii; 48, An. intermedius; 49, An. maculipes; 50, An. mattogrossensis; 51, An. mediopunctatus; 52, An. minor; 53, An. neomaculipalpus; 54, An. peryassui; 55, An. pseudomaculipes; 56, An. pseudipunctipennis; 57, An. punctimacula; 58, An. ranchoui; 59, An. shannoni; 60, An. tibiamaculatus; 61, An. bambusicolus; 62, An. bellator; 63, An. boliviensis; 64, An. cruzii; 65, An. homunchulus; 66, An. laneanus; 67, An. neivai. Pv, P. vivax; Pf, P. falciparum, Pm, P. malariae, Pb, P. braziliensis; Ps, P. simium.
Figure 6.Map of malaria transmission systems in Brazil.
The three geographically and biologically distinct transmission systems are maintained by different mosquito vectors and have different eco-epidemiological characteristics. The Amazon rainforest transmission system is the most important (99% of cases) and primarily involves An. darlingi. The Atlantic rainforest transmission system involves the bromeliad-associated mosquitoes An. bellator and An. cruzii. The ‘coastal’ transmission system mostly involves An. aquasalis.