ArticleThe Science of the total environment2021
Deforestation hotspots, climate crisis, and the perfect scenario for the next epidemic: The Amazon time bomb.
Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Genomic characterization, origin, and local transmission of Oropouche virus in Bolivia in 2024.Lancet regional health. Americas · 2025Article
- Travel-associated international spread of Oropouche virus beyond the Amazon.Journal of travel medicine · 2025Article
- "Long COVID" and Its Impact on The Environment: Emerging Concerns and Perspectives.Environmental management · 2024Review
- Perception of health risks in contexts of extreme climate change in semiarid Northeastern Brazil: an analysis of the role of socioeconomic variables.Journal of ethnobiology and ethnomedicine · 2023Article
- Disparities in Excess Mortality Between Indigenous and Non-Indigenous Brazilians in 2020: Measuring the Effects of the COVID-19 Pandemic.Journal of racial and ethnic health disparities · 2022Article
- Pharmaceutical Biotechnology.Life (Basel, Switzerland) · 2022Article
- Noncommunicable diseases, climate change and iniquities: What COVID-19 has taught us about syndemic.European journal of clinical investigation · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently most researchers consider humanity's extermination of biodiversity as the antecedent of ideal conditions for the emergence of new viruses and diseases. Animals lose their natural habitats due to extensive landscape changes, consequently crowding them together and increasing their interaction with humans. Additionally, it is also important to emphasise the increasing concern on climate change because climate can modify the distribution and intensity of other diseases such as vector-borne disease. Unfortunately, the global resources for biodiversity conservation were diluted by government support for activities harmful to the environment. A tragic example is from the Amazon rainforest, that experienced fast environmental depletion and high social inequalities. Extractive systems and extensive land use on a large scale have induced deforestation, great loss of biodiversity, carbon emission, and water contamination, leading to indigenous land dispossession, violence, and rural-urban migration. The deforested areas in the Amazon region increase considerably at an alarming speed each year. The COVID-19 pandemic is an evidence to show how viruses and pathogens move further and faster than before, which means we must also show a quick response. It requires financing and, mostly, changes in human behaviour. The message is simple: we need to rethink our current relationship with nature and with ourselves, which should lead to a social transformation towards the sustainable use of the available resources.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.