Environmental change and infectious disease: How new roads affect the transmission of diarrheal pathogens in rural Ecuador
Environmental change plays a large role in the emergence of infectious disease. The construction of a new road in a previously roadless area of northern coastal Ecuador provides a valuable natural experiment to examine how changes in the social and natural environment, mediated by road construction,...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2006-12, Vol.103 (51), p.19460-19465 |
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creator | Eisenberg, Joseph N.S Cevallos, William Ponce, Karina Levy, Karen Bates, Sarah J Scott, James C Hubbard, Alan Vieira, Nadia Endara, Pablo Espinel, Mauricio Trueba, Gabriel Riley, Lee W Trostle, James |
description | Environmental change plays a large role in the emergence of infectious disease. The construction of a new road in a previously roadless area of northern coastal Ecuador provides a valuable natural experiment to examine how changes in the social and natural environment, mediated by road construction, affect the epidemiology of diarrheal diseases. Twenty-one villages were randomly selected to capture the full distribution of village population size and distance from a main road (remoteness), and these were compared with the major population center of the region, Borbón, that lies on the road. Estimates of enteric pathogen infection rates were obtained from case-control studies at the village level. Higher rates of infection were found in nonremote vs. remote villages [pathogenic Escherichia coli: odds ratio (OR) = 8.4, confidence interval (CI) 1.6, 43.5; rotavirus: OR = 4.0, CI 1.3, 12.1; and GIARDIA: OR = 1.9, CI 1.3, 2.7]. Higher rates of all-cause diarrhea were found in Borbón compared with the 21 villages (RR = 2.0, CI 1.5, 2.8), as well as when comparing nonremote and remote villages (OR = 2.7, CI 1.5, 4.8). Social network data collected in parallel offered a causal link between remoteness and disease. The significant and consistent trends across viral, bacterial, and protozoan pathogens suggest the importance of considering a broad range of pathogens with differing epidemiological patterns when assessing the environmental impact of new roads. This study provides insight into the initial health impacts that roads have on communities and into the social and environmental processes that create these impacts. |
doi_str_mv | 10.1073/pnas.0609431104 |
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The construction of a new road in a previously roadless area of northern coastal Ecuador provides a valuable natural experiment to examine how changes in the social and natural environment, mediated by road construction, affect the epidemiology of diarrheal diseases. Twenty-one villages were randomly selected to capture the full distribution of village population size and distance from a main road (remoteness), and these were compared with the major population center of the region, Borbón, that lies on the road. Estimates of enteric pathogen infection rates were obtained from case-control studies at the village level. Higher rates of infection were found in nonremote vs. remote villages [pathogenic Escherichia coli: odds ratio (OR) = 8.4, confidence interval (CI) 1.6, 43.5; rotavirus: OR = 4.0, CI 1.3, 12.1; and GIARDIA: OR = 1.9, CI 1.3, 2.7]. Higher rates of all-cause diarrhea were found in Borbón compared with the 21 villages (RR = 2.0, CI 1.5, 2.8), as well as when comparing nonremote and remote villages (OR = 2.7, CI 1.5, 4.8). Social network data collected in parallel offered a causal link between remoteness and disease. The significant and consistent trends across viral, bacterial, and protozoan pathogens suggest the importance of considering a broad range of pathogens with differing epidemiological patterns when assessing the environmental impact of new roads. 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The construction of a new road in a previously roadless area of northern coastal Ecuador provides a valuable natural experiment to examine how changes in the social and natural environment, mediated by road construction, affect the epidemiology of diarrheal diseases. Twenty-one villages were randomly selected to capture the full distribution of village population size and distance from a main road (remoteness), and these were compared with the major population center of the region, Borbón, that lies on the road. Estimates of enteric pathogen infection rates were obtained from case-control studies at the village level. Higher rates of infection were found in nonremote vs. remote villages [pathogenic Escherichia coli: odds ratio (OR) = 8.4, confidence interval (CI) 1.6, 43.5; rotavirus: OR = 4.0, CI 1.3, 12.1; and GIARDIA: OR = 1.9, CI 1.3, 2.7]. Higher rates of all-cause diarrhea were found in Borbón compared with the 21 villages (RR = 2.0, CI 1.5, 2.8), as well as when comparing nonremote and remote villages (OR = 2.7, CI 1.5, 4.8). Social network data collected in parallel offered a causal link between remoteness and disease. The significant and consistent trends across viral, bacterial, and protozoan pathogens suggest the importance of considering a broad range of pathogens with differing epidemiological patterns when assessing the environmental impact of new roads. This study provides insight into the initial health impacts that roads have on communities and into the social and environmental processes that create these impacts.</description><subject>Biological Sciences</subject><subject>Changes</subject><subject>Communities</subject><subject>Diarrhea</subject><subject>Diarrhea - epidemiology</subject><subject>Diarrhea - microbiology</subject><subject>Diarrhea - parasitology</subject><subject>Diarrhea - virology</subject><subject>Disease transmission</subject><subject>Ecuador - epidemiology</subject><subject>Environment</subject><subject>Environmental disorders</subject><subject>Epidemiology</subject><subject>Escherichia coli</subject><subject>Escherichia coli Infections - epidemiology</subject><subject>Escherichia coli Infections - transmission</subject><subject>Feces - microbiology</subject><subject>Feces - virology</subject><subject>Giardia</subject><subject>Giardiasis - epidemiology</subject><subject>Giardiasis - transmission</subject><subject>Humans</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Pathogens</subject><subject>Polymerase Chain Reaction</subject><subject>Population size</subject><subject>Rotavirus</subject><subject>Rotavirus Infections - epidemiology</subject><subject>Rotavirus Infections - transmission</subject><subject>Rural areas</subject><subject>Rural Population</subject><subject>Social Environment</subject><subject>Social Planning</subject><subject>Socioeconomic Factors</subject><subject>Transportation</subject><subject>Villages</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUFv1DAQhSMEokvhzAmwOCBxSDu2YzvpAQlVC0WqxAF6tryJvckqay-20wK_nol21QUuPVn2fPP0nl9RvKRwRkHx85036QwkNBWnFKpHxYJCQ0tZNfC4WAAwVdYVq06KZyltAKARNTwtTqiiomZULorfS387xOC31mczkrY3fm2J8R0ZvLNtHsKUSDcka5K9IFfhjnh7R2IwXSLGzQTJvSU5Gp-2Q0pD8CQ43DAx9hYVdyb3YW19QkESp4hPy3YyXYjPiyfOjMm-OJynxc2n5ffLq_L66-cvlx-vy1YyyCVVolO2hk4ItN85yQQzK8OaWjowruat440EZTupKqq4Yyu8sarjoIRqBD8tPux1d9Nqa7sWk6ILvYvD1sRfOphB_zvxQ6_X4VZT2fBKKRR4dxCI4cdkU9aYtLXjaLzF79GyZlKClA-CtKkrbGO29PY_cBOm6PEXNAPKheK0Ruh8D7UxpBStu7dMQc_t67l9fWwfN17_nfTIH-pG4P0BmDePclwLiu4qCdpN45jtz4wseYBF5NUe2aQc4j3DAQTljOH8zX7uTNBmHYekb77NAQHdK8Cy_gBjb9eP</recordid><startdate>20061219</startdate><enddate>20061219</enddate><creator>Eisenberg, Joseph N.S</creator><creator>Cevallos, William</creator><creator>Ponce, Karina</creator><creator>Levy, Karen</creator><creator>Bates, Sarah J</creator><creator>Scott, James C</creator><creator>Hubbard, Alan</creator><creator>Vieira, Nadia</creator><creator>Endara, Pablo</creator><creator>Espinel, Mauricio</creator><creator>Trueba, Gabriel</creator><creator>Riley, Lee W</creator><creator>Trostle, James</creator><general>National Academy of Sciences</general><general>National Acad Sciences</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7ST</scope><scope>7T7</scope><scope>7U6</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20061219</creationdate><title>Environmental change and infectious disease: How new roads affect the transmission of diarrheal pathogens in rural Ecuador</title><author>Eisenberg, Joseph N.S ; Cevallos, William ; Ponce, Karina ; Levy, Karen ; Bates, Sarah J ; Scott, James C ; Hubbard, Alan ; Vieira, Nadia ; Endara, Pablo ; Espinel, Mauricio ; Trueba, Gabriel ; Riley, Lee W ; Trostle, James</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c620t-175d7e80d55095df6252aba2986f0af83cf39607ed674173f2b60724d30757953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Biological Sciences</topic><topic>Changes</topic><topic>Communities</topic><topic>Diarrhea</topic><topic>Diarrhea - 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The construction of a new road in a previously roadless area of northern coastal Ecuador provides a valuable natural experiment to examine how changes in the social and natural environment, mediated by road construction, affect the epidemiology of diarrheal diseases. Twenty-one villages were randomly selected to capture the full distribution of village population size and distance from a main road (remoteness), and these were compared with the major population center of the region, Borbón, that lies on the road. Estimates of enteric pathogen infection rates were obtained from case-control studies at the village level. Higher rates of infection were found in nonremote vs. remote villages [pathogenic Escherichia coli: odds ratio (OR) = 8.4, confidence interval (CI) 1.6, 43.5; rotavirus: OR = 4.0, CI 1.3, 12.1; and GIARDIA: OR = 1.9, CI 1.3, 2.7]. Higher rates of all-cause diarrhea were found in Borbón compared with the 21 villages (RR = 2.0, CI 1.5, 2.8), as well as when comparing nonremote and remote villages (OR = 2.7, CI 1.5, 4.8). Social network data collected in parallel offered a causal link between remoteness and disease. The significant and consistent trends across viral, bacterial, and protozoan pathogens suggest the importance of considering a broad range of pathogens with differing epidemiological patterns when assessing the environmental impact of new roads. This study provides insight into the initial health impacts that roads have on communities and into the social and environmental processes that create these impacts.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>17158216</pmid><doi>10.1073/pnas.0609431104</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biological Sciences Changes Communities Diarrhea Diarrhea - epidemiology Diarrhea - microbiology Diarrhea - parasitology Diarrhea - virology Disease transmission Ecuador - epidemiology Environment Environmental disorders Epidemiology Escherichia coli Escherichia coli Infections - epidemiology Escherichia coli Infections - transmission Feces - microbiology Feces - virology Giardia Giardiasis - epidemiology Giardiasis - transmission Humans Infections Infectious diseases Pathogens Polymerase Chain Reaction Population size Rotavirus Rotavirus Infections - epidemiology Rotavirus Infections - transmission Rural areas Rural Population Social Environment Social Planning Socioeconomic Factors Transportation Villages |
title | Environmental change and infectious disease: How new roads affect the transmission of diarrheal pathogens in rural Ecuador |
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