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Cited by 108Malaria Research and ControlMathematical and Theoretical Epidemiology and Ecology ModelsMosquito-borne diseases and control

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Biodiversity Can Help Prevent Malaria Outbreaks in Tropical Forests

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Laporta, Gabriel Zorello, Prado, Paulo Inácio Knegt Lopez de, Kraenkel, Roberto André, Coutinho, Renato Mendes, Sallum, Maria Anice Mureb·2013·PLoS Neglected Tropical Diseases
DOI 10.1371/journal.pntd.0002139PMC PMC3605282
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Abstract

BACKGROUND: Plasmodium vivax is a widely distributed, neglected parasite that can cause malaria and death in tropical areas. It is associated with an estimated 80-300 million cases of malaria worldwide. Brazilian tropical rain forests encompass host- and vector-rich communities, in which two hypothetical mechanisms could play a role in the dynamics of malaria transmission. The first mechanism is the dilution effect caused by presence of wild warm-blooded animals, which can act as dead-end hosts to Plasmodium parasites. The second is diffuse mosquito vector competition, in which vector and non-vector mosquito species compete for blood feeding upon a defensive host. Considering that the World Health Organization Malaria Eradication Research Agenda calls for novel strategies to eliminate malaria transmission locally, we used mathematical modeling to assess those two mechanisms in a pristine tropical rain forest, where the primary vector is present but malaria is absent. METHODOLOGY/PRINCIPAL FINDINGS: The Ross-Macdonald model and a biodiversity-oriented model were parameterized using newly collected data and data from the literature. The basic reproduction number ([Formula: see text]) estimated employing Ross-Macdonald model indicated that malaria cases occur in the study location. However, no malaria cases have been reported since 1980. In contrast, the biodiversity-oriented model corroborated the absence of malaria transmission. In addition, the diffuse competition mechanism was negatively correlated with the risk of malaria transmission, which suggests a protective effect provided by the forest ecosystem. There is a non-linear, unimodal correlation between the mechanism of dead-end transmission of parasites and the risk of malaria transmission, suggesting a protective effect only under certain circumstances (e.g., a high abundance of wild warm-blooded animals). CONCLUSIONS/SIGNIFICANCE: To achieve biological conservation and to eliminate Plasmodium parasites in human populations, the World Health Organization Malaria Eradication Research Agenda should take biodiversity issues into consideration.

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Crossref · 10.1371/journal.pntd.0002139

Cites

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Figures

Figure 1 Study area. A: South America and Brazilian States; B: The Iguape-Cananéia-Paranaguá estuarine lagoon region, southeastern coast of Brazil; and C: Parque Estadual da Ilha do Cardoso. G, The Guarani Mbya village; and M, Marujá. Source: Bird and mammal observations [45]; Altitude and vegetation sampling [46] (Figure S6).
Figure 1 Study area. A: South America and Brazilian States; B: The Iguape-Cananéia-Paranaguá estuarine lagoon region, southeastern coast of Brazil; and C: Parque Estadual da Ilha do Cardoso. G, The Guarani Mbya village; and M, Marujá. Source: Bird and mammal observations [45]; Altitude and vegetation sampling [46] (Figure S6).CC BY · PubMed Central
Figure 2 Predicting hypothetical scenarios I: dilution effect and diffuse mosquito vector competition in The Guarani Mbya village. Increase in abundance of non-vector mosquito species and in abundance of wild warm-blooded animals is correlated with decrease in the risk of malaria-parasite transmission. Reduction in abundance of wild warm-blooded animals (blue dashed arrow) and in abundance of non-vector mosquito species (red dashed arrow) can exceed the critical threshold level (). The red circle is estimate of our model (0.3; eq. 13). The black isoline represents malaria transmission threshold (). Color legend shows a range of values from 0.00 to 1.40.
Figure 2 Predicting hypothetical scenarios I: dilution effect and diffuse mosquito vector competition in The Guarani Mbya village. Increase in abundance of non-vector mosquito species and in abundance of wild warm-blooded animals is correlated with decrease in the risk of malaria-parasite transmission. Reduction in abundance of wild warm-blooded animals (blue dashed arrow) and in abundance of non-vector mosquito species (red dashed arrow) can exceed the critical threshold level (). The red circle is estimate of our model (0.3; eq. 13). The black isoline represents malaria transmission threshold (). Color legend shows a range of values from 0.00 to 1.40.CC BY · PubMed Central
Figure 3 Predicting hypothetical scenarios II: diffuse mosquito vector competition in Marujá. Increase in abundance of non-vector mosquito species is linearly correlated with decrease in the risk of malaria-parasite transmission. Reduction in abundance of non-vector mosquito species (red dashed arrow) can exceed the critical threshold level (). The red circle is estimate of our model (0.39; eq. 13). The black isoline represents malaria transmission threshold (). Color legend shows a range of values from 0.00 to 1.50.
Figure 3 Predicting hypothetical scenarios II: diffuse mosquito vector competition in Marujá. Increase in abundance of non-vector mosquito species is linearly correlated with decrease in the risk of malaria-parasite transmission. Reduction in abundance of non-vector mosquito species (red dashed arrow) can exceed the critical threshold level (). The red circle is estimate of our model (0.39; eq. 13). The black isoline represents malaria transmission threshold (). Color legend shows a range of values from 0.00 to 1.50.CC BY · PubMed Central
Figure 4 Predicting hypothetical scenarios III: dilution effect in Marujá. Increase in abundance of wild warm-blooded animals is non-linearly correlated with decrease in the risk of malaria-parasite transmission. Reduction in abundance of wild warm-blooded animals (red dashed arrow) does not exceed the critical threshold level (). However, increase in human population size (blue dashed arrow) can exceed the critical threshold level (). The red circle is estimate of our model (0.39; eq. 13). The black isoline represents malaria transmission threshold (). Color legend shows a range of values from 0.00 to 1.40.
Figure 4 Predicting hypothetical scenarios III: dilution effect in Marujá. Increase in abundance of wild warm-blooded animals is non-linearly correlated with decrease in the risk of malaria-parasite transmission. Reduction in abundance of wild warm-blooded animals (red dashed arrow) does not exceed the critical threshold level (). However, increase in human population size (blue dashed arrow) can exceed the critical threshold level (). The red circle is estimate of our model (0.39; eq. 13). The black isoline represents malaria transmission threshold (). Color legend shows a range of values from 0.00 to 1.40.CC BY · PubMed Central

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Cites

Show all 59 references

Research works printed but not linked: 8

  1. RDA Couto, 2010, Autochthonous malaria notified in the State of São Paulo: clinical and epidemiological characteristics from 1980 to 2007, Rev Soc Bras Med Trop, 43, 52
  2. A Lutz, 1903, Waldmosquitos und waldmalaria, Centralbl Bakt, 33, 282
  3. LB Smith, 1953, Bromeliad Malaria, Rep Smithson Inst, 1952, 385
  4. Sawyer DR, Sawyer DO (1992) The malaria transition and the role of social science research. In: Cheng LC, editor. Advancing the Health in Developing Countries: The Role of Social Research. Westport: Auburn House. pp. 105–122.
  5. Wilson EO (1988) Biodiversity. Washington: National Academy Press. 657 p.
  6. K Suguiu, 1973, Stratigraphy of the Iguape-Cananéia lagoonal region sedimentary deposits, São Paulo State, Brazil, Bol Inst Geo, 4, 1
  7. JVE Bernardi, 2005, Spatial study of the vegetation gradient from Cardoso Island State Park, SP, Brazil, Holos Environ, 5, 1
  8. AP Almeida, 1946, Memória histórica da Ilha do Cardoso, Rev Arq Municipal, 111, 19

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Metadata

Authors
Laporta, G. Z., Prado, P. I. K. L. D., Kraenkel, R. A., Coutinho, R. M., & Sallum, M. A. M.
Affiliations
  • Universidade de São Paulo (BR)
  • Universidade Estadual Paulista (Unesp) (BR)
Corresponding author
Laporta, Gabriel Zorello
ORCID
Venue
PLoS Neglected Tropical Diseases
Publisher
Public Library of Science (PLoS)
Published
2013-03-21
Volume
7
Issue
3
Pages
e2139
ISSN
  • 1935-2727 (ISSN-L)
  • 1935-2735
DOI
10.1371/journal.pntd.0002139
PMC
PMC3605282
OpenAlex
W2084885779
Cited by
108
References
59
Citations by year
2026: 4 · 2025: 4 · 2024: 17 · 2023: 3 · 2022: 10 · 2021: 13 · 2020: 12 · 2019: 10 · 2018: 8 · 2017: 3 · 2016: 4 · 2015: 10 · 2014: 8 · 2013: 2
FWCI
8.18
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS neglected tropical diseases (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
  • Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista) (submittedVersion, other-oa)
  • Americanae (AECID Library) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
Fundação de Amparo à Pesquisa do Estado de São Paulo (05/53973-0)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
Keywords
malaria transmission, Plasmodium vivax, biodiversity, dilution effect, dead-end hosts, diffuse competition, tropical rainforest, Ross-Macdonald model, basic reproduction number, malaria eradication, wildlife hosts, mathematical modeling
MeSH terms
Animals, Brazil, Disease Outbreaks, Female, Humans, Models, Theoretical, Trees, Tropical Climate, Malaria, Vivax, Disease Transmission, Infectious, Biodiversity

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