Cited by 177Malaria Research and ControlMosquito-borne diseases and controlVector-borne infectious diseases

A global assessment of closed forests, deforestation and malaria risk

Open access
Guerra, C. A., Snow, R. W., Hay, S. I.·2006·Annals of Tropical Medicine and Parasitology

Abstract

Global environmental change is expected to affect profoundly the transmission of the parasites that cause human malaria. Amongst the anthropogenic drivers of change, deforestation is arguably the most conspicuous, and its rate is projected to increase in the coming decades. The canonical epidemiological understanding is that deforestation increases malaria risk in Africa and the Americas and diminishes it in South-east Asia. Partial support for this position is provided here, through a systematic review of the published literature on deforestation, malaria and the relevant vector bionomics. By using recently updated boundaries for the spatial limits of malaria and remotely-sensed estimates of tree cover, it has been possible to determine the population at risk of malaria in closed forest, at least for those malaria-endemic countries that lie within the main blocks of tropical forest. Closed forests within areas of malaria risk cover approximately 1.5 million km2 in the Amazon region, 1.4 million km2 in Central Africa, 1.2 million km2 in the Western Pacific, and 0.7 million km2 in South-east Asia. The corresponding human populations at risk of malaria within these forests total 11.7 million, 18.7 million, 35.1 million and 70.1 million, respectively. By coupling these numbers with the country-specific rates of deforestation, it has been possible to rank malaria-endemic countries according to their potential for change in the population at risk of malaria, as the result of deforestation. The on-going research aimed at evaluating these relationships more quantitatively, through the Malaria Atlas Project (MAP), is highlighted.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1179/136485906x91512

Cites

79 of 79 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Within countries moving towards elimination, many remaining foci of malaria transmission are driven by landscape factors.

    “Within countries moving towards elimination, many remaining foci of malaria transmission are driven by landscape factors, such as the high malaria incidence associated with deforestation in Southeast Asia and South America [7].”

    From Achieving global malaria eradication in changing landscapes (2021) · cites this paper as [7]

    The section on links between malaria, forests and deforestation describes landscape-related influences on transmission, and the Conclusions identify ‘frontier’ malaria in South America. But the paper does not frame these findings as remaining foci in countries moving towards elimination. Its Southeast Asia discussion says deforestation can initially reduce transmission and that its effects are difficult to predict, rather than consistently associating it with high incidence. Page numbers are unavailable in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 8

  1. Banerjee MK Palikhe N Shrestha BL Vaidya RG Sharma VP Kondrashin AV Persistent malaria transmission in forests of central Nepal 1991 155 169 Forest Malaria in Southeast Asia — Proceedings of an Informal Consultative Meeting 18–22 February, 1991 World Health Organization New Delhi
  2. Kondrashin AV Jung RK Akiyama J Sharma VP Kondrashin AV Ecological aspects of forest malaria in Southeast Asia 1991 1 22 Forest Malaria in Southeast Asia — Proceedings of an Informal Consultative Meeting 18–22 February, 1991 World Health Organization New Delhi
  3. Manga L Bouchite B Toto JC Froment A La faune anophélienne et la transmission du paludisme dans une zone de transition forêt/savane au centre du Cameroun Bulletin de la Société de Pathologie Éxotique 1997a 90 128 130 9289252
  4. Meunier JY Safeukui I Fontenille D Boudin C Étude de la transmission du paludisme dans une future zone d’essai vaccinal en forêt équatoriale du sud Cameroun Bulletin de la Société de Pathologie Éxotique 1999 92 309 312 10690465
  5. Narasimham MVVL Sharma VP Kondrashin AV Perspectives of forest malaria in India 1991 81 91 Forest Malaria in Southeast Asia — Proceedings of an Informal Consultative Meeting 18–22 February, 1991 World Health Organization New Delhi
  6. Nzeyimana I Henry MC Yovo J. Dossou Doannio JM Diawara L Carnevale P Épidemiologie du paludisme dans le sud–ouest forestier de la Côte d’Ivoire (région de Tai) Bulletin de la Société de Pathologie Éxotique 2002 95 89 94 12145967
  7. Sharma VP Prasittisuk C Kondrashin AV Sharma VP Kondrashin AV Magnitude of forest related malaria in the WHO Southeast Asia region 1991 29 53 Forest Malaria in Southeast Asia — Proceedings of an Informal Consultative Meeting 18–22 February, 1991 World Health Organization New Delhi
  8. Shrestha JPB Banerjee MK Vaidya RG Shrestha BL Sharma VP Kondrashin AV Malaria situation in forested areas of Nepal 1991 141 154 Forest Malaria in Southeast Asia — Proceedings of an Informal Consultative Meeting 18–22 February, 1991 World Health Organization New Delhi

Cited by

Sorted by citations

Authors
Guerra, C. A., Snow, R. W., & Hay, S. I.
Affiliations
  • University of Oxford (GB)
  • John Radcliffe Hospital (GB)
  • Kenya Medical Research Institute (KE)
Venue
Annals of Tropical Medicine and Parasitology
Published
2006-04-01
Volume
100
Issue
3
Pages
189-204
ISSN
  • 0003-4983 (ISSN-L)
  • 1364-8594
OpenAlex
W1988113894
Cited by
177
References
79
Citations by year
2026: 4 · 2025: 5 · 2024: 10 · 2023: 8 · 2022: 17 · 2021: 16 · 2020: 10 · 2019: 18 · 2018: 9 · 2017: 12 · 2016: 6 · 2015: 11 · 2014: 8 · 2013: 7 · 2012: 5
FWCI
4.99
Type
journal article
Language
en
Open access
Locations
  • Annals of Tropical Medicine and Parasitology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
Wellcome Trust (069045, 076951, 058992)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
  • Life Sciences › Immunology and Microbiology › Parasitology › Vector-borne infectious diseases
Keywords
deforestation, malaria risk, closed forest, tropical forests, tree cover, Amazon, Central Africa, western Pacific, Southeast Asia
MeSH terms
Africa, Central, Animals, Anopheles, Asia, Southeastern, Conservation of Natural Resources, Humans, Insect Vectors, Malaria, South America, Trees, Risk Assessment, Endemic Diseases

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review