| Literature DB >> 29894479 |
Molly Mastel1, Alejandra Bussalleu1, Valerie A Paz-Soldán1,2, Gabriela Salmón-Mulanovich1,3, Armando Valdés-Velásquez1,4, Stella M Hartinger1,5,6.
Abstract
Land use change (LUC) is a main cause of global environmental change, and is an important activity to be studied. Our research aims to examine the current state of evidence on the link between LUC and human health in the Amazon region. We conducted a scoping review of literature in two research databases, resulting in 14 papers for analysis. Our analysis demonstrated a lack of clear definitions for LUC, a wide variety of negative health effects from LUC, the lack of qualitative articles, a lack of studies exploring the potential positive health effects of LUC, and the predominance of studies coming from the Brazilian Amazon. Our study validated the prevailing idea that LUC can lead to negative health consequences, if not managed properly.Entities:
Mesh:
Year: 2018 PMID: 29894479 PMCID: PMC5997329 DOI: 10.1371/journal.pone.0196414
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Keywords (with synonyms) and syntax used for literature search.
| #1: "Amazon" terms | #2: "location" terms | #3: "land use" terms | #4: "health" terms | #5: combined search |
|---|---|---|---|---|
| (Amazon* OR "amazon basin") AND | (peru OR bolivia OR brazil OR columbia OR colombia OR venezuela OR "french guiana" OR "guyana" OR "surinam*" OR ecuador) AND | ("land use" OR "land use change" OR deforestation OR mining OR mine OR agricultur* OR farm* OR road OR dam) AND | (health OR disease OR Dengue OR "yellow fever" OR "leishmaniasis" OR malaria OR arbovirus OR arenavirus OR leptospirosis OR hantavirus OR diarrhea* OR injur* OR accident* OR "mental health" OR neurological OR *nutrition OR anemia OR parasit* OR "parasite infection" OR "parasitic worm" OR *virus) | #1 AND #2 AND #3 AND #4 |
Fig 1Flowchart.
Flowchart of study selection process.
Summary of selected publications.
| Citation | LUC issue | Health issue | Location | concept of land use change | Results (summary) |
|---|---|---|---|---|---|
| Fernandez 2014 [ | power plant construction | Schistosomiasis and other mollusk-related parasites | Brazil | none | Geographical distribution of known species expanded and recorded related to the construction of the dam. Reported species that could potentially spread Centerocestus formansus, schistosomiasis, and Brevifurcate apharyngeate cercaria. |
| Andrade 2016 [ | Highway construction | rabies (bovine/human) | Brazil | contains the phrase "land use change" but doesn’t define or conceptualize it. | Areas of highest risk for bovine rabies found in proximity of rivers and highways. Highest concentration of high-risk for human rabies found where the highway network coincides with high densities of rural and indigenous populations. The high-risk areas for human and bovine rabies are patchily distributed, and related to extensive deforested areas, large herds of cattle, and the presence of highways. |
| Bauch 2015 [ | mining, roads, and protected areas | malaria, diarrhea, and acute respiratory infection (ARI) | Brazil | Provides multiple references and mentions specific examples, but does not define or conceptualize it. | roads associated with increases in malaria and decreases in diarrhea and ARI cases. Only strict protected areas (PA) reduce incidence of all three diseases. Estimates suggest that expansion of strict PAs will reduce ARI, Diarrhea, and malaria. |
| Medeiros 2010 [ | highway construction | Hantaviruses | Brazil | none | Areas studied were in influence area of BR-163 highway in Brazil. Results suggest the occurrence of non severe and/or atypical hantaviral infection cases, as well as the possible under-notification of cases. Recent circulation of hantavirus in one region, continuous exposure in three. Prevalence of anti-hantavirus antibodies similar to other states in some regions. Some seasonal and regional variations in prevalence. Evidence of multiple strains in some states. |
| Nascimento 2012 [ | Biomass burning | Pneumonia (in children) | Brazil | none | Rates of admission due to pneumonia were distributed randomly across the municipalities, but fires were not. Fires mostly occurred in known areas of deforestation, suggesting anthropogenic biomass burning. There were not more admissions in the arc of deforestation. |
| Ramos 2014 [ | agriculture | Leishmaniasis | Brazil | none | Abundance seemed to be related to human population presence and forest cover. Greatest abundance of sand flies and greatest richness of species found in areas with highest human population density. Highest index diversity in environments with high population and high forest cover, and environments with low population density and low forest cover. Abundance of 4 species of medical importance detected. |
| Reinhardt 2001 [ | Biomass burning | Respiratory problems | Brazil | none | Residents in the rural village under study were exposed to significant smoke during the dry season burning period. The concentrations of particulate matter were above air quality standards for PM10 and PM2.5. CO levels were comparable to those of a moderately polluted urban setting and benzene and HCHO levels elevated when compared to rural areas in other parts of the world. |
| Roque 2013 [ | agriculture | Chagas | Brazil | none | Higher prevalence of |
| Salmon-Mulanovich 2016 [ | highway construction | community perceptions health and rodent borne diseases | Peru | land use change keyword, and the phrase is used through the paper, examples given | Survey information reported that 90% of participants recognized that rodents transmit diseases, but most couldn’t name a disease. Rodents were described as a pest rather than a reservoir or vector. Participants perceived an increase in the amount of rodents after the construction of the highway and in coming migration to the area. |
| Silva 2009 [ | biomass burning | Asthma | Brazil | none | Spatial distribution of hospitalizations for asthma resembles the configuration of the “arc of deforestation”, however the incidence rate of hospitalizations is decreasing. Peak of hospitalizations in March and May in all states. |
| Streicker 2016 [ | Agriculture | Rabies | Peru | Phrase is mentioned in title and through paper, examples given. | Bat bites common where there was no livestock, suggesting a protective effect of livestock on humans. Bats have more diversity in pretty where there is intermediate environmental disturbance with low densities of livestock where wildlife are more abundant. Feeding patterns demonstrated may increase transmission of rabies from bats to wildlife, which could create new rabies reservoirs or intermediate hosts for human infections. |
| Yanoviak 2006 [ | agriculture | Mosquito borne diseases | Peru | Phrase is mentioned | Deforestation (and the resulting land use change after) increase the availability of micro-habitats for mosquitoes via increasing amounts of fallen plant parts. The fallen plants and water-filled plant axils can increase habitats favored by mosquitoes that may transmit Bunyamwera-group viruses and related pathogens. Preliminary identification suggests presence of species that includes main vector of Oropouche virus. |
| Reddington 2015 [ | Biomass burning | PM emissions (air quality) / Premature adult mortality from cardiopulmonary disease and lung cancer | Brazil | none | Reductions in Brazil’s deforestation rates have caused reduced fire emissions resulting in improved air quality with positive impacts on human health. Reduction in particulate matter may be preventing roughly 400 to 1,700 premature adult deaths annually across South America. |
| Guimaraes 2016 [ | highway construction | prenatal and childbirth assistance access | Brazil | none | The indicators of prenatal care and child delivery were below the national average, showing that geographical isolation still affects women’s health care in the Amazon, despite the construction of the highway and governmental health protocols adopted during this period. |
Basic details of included publications.
| Paper characteristics | Number (n = 14); Included papers, n (%) | Article number in references |
|---|---|---|
| Type | ||
| Quantitative research | 13 (92.9) | [ |
| Qualitative research | 1 (7.1) | [ |
| Country of origin | ||
| Brazil | 11 (78.6) | [ |
| Peru | 3 (21.4) | [ |
| Publication year | ||
| 2000–2005 | 1 (7.1) | [ |
| 2006–2010 | 3 (21.4) | [ |
| 2011–2016 | 10 (71.5) | [ |
| Health topic | ||
| Schistosomiasis etc. | 1 | [ |
| Rabies | 2 | [ |
| Multiple | 1 | [ |
| Hantavirus | 1 | [ |
| Lung health | 4 | [ |
| Leishmaniasis | 1 | [ |
| Chagas | 1 | [ |
| Community perceptions on disease | 1 | [ |
| Mosquito diseases | 1 | [ |
| Healthcare Access | 1 | [ |
| Land use change topic | ||
| Agriculture | 4 | [ |
| Power plant construction | 1 | [ |
| Multiple topics | 1 | [ |
| Highway construction | 4 | [ |
| Biomass burning | 4 | [ |
Fig 2Factors relating to land use change.
Conceptualization process for determining LUC and health topics.
Data collection sources/instruments used in selected papers.
| type of data collection | number of papers | citations |
|---|---|---|
| Animal collection | 5 | [ |
| Questionnaires/observations/surveys/etc | 6 | [ |
| Existing data on human death, hospitalization, or illness | 6 | [ |
| Mapping/satellite/etc. | 5 | [ |
| Air quality sampling | 1 | [ |
Items in Table 4 with no asterisk are primary data. Items with an asterisk are secondary data.