A Field Trial of Alternative Targeted Screening Strategies for Chagas Disease in Arequipa, Peru
Publication Date
January 10, 2012
Journal
PLOS Neglected Tropical Diseases
Authors
Gabrielle C. Hunter, Katty Borrini Mayorí, Jenny Ancca Juárez, Ricardo Castillo Neyra, et al
Volume
6
Issue
1
Pages
e1468
DOI
https://dx.plos.org/10.1371/journal.pntd.0001468
Publisher URL
http://journals.plos.org/plosntds/article?id=10.1371%2Fjournal.pntd.0001468
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/22253939
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3254655
Europe PMC
http://europepmc.org/abstract/MED/22253939
Web of Science
000300416100019
Scopus
84856560811
Mendeley
http://www.mendeley.com/research/field-trial-alternative-targeted-screening-strategies-chagas-disease-arequipa-peru
Events
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Mendeley | Further Information

{"title"=>"A field trial of alternative targeted screening strategies for chagas disease in Arequipa, Peru", "type"=>"journal", "authors"=>[{"first_name"=>"Gabrielle C.", "last_name"=>"Hunter", "scopus_author_id"=>"10142122300"}, {"first_name"=>"Katty", "last_name"=>"Borrini-Mayorí", "scopus_author_id"=>"25227342100"}, {"first_name"=>"Jenny", "last_name"=>"Ancca Juárez", "scopus_author_id"=>"8360109200"}, {"first_name"=>"Ricardo", "last_name"=>"Castillo Neyra", "scopus_author_id"=>"38761061900"}, {"first_name"=>"Manuela R.", "last_name"=>"Verastegui", "scopus_author_id"=>"7004202872"}, {"first_name"=>"Fernando S.", "last_name"=>"Malaga Chavez", "scopus_author_id"=>"36167292900"}, {"first_name"=>"Juan Geny", "last_name"=>"del Cornejo Carpio", "scopus_author_id"=>"54950093700"}, {"first_name"=>"Eleazar", "last_name"=>"Córdova Benzaquen", "scopus_author_id"=>"25227399100"}, {"first_name"=>"César", "last_name"=>"Náquira", "scopus_author_id"=>"35559365000"}, {"first_name"=>"Robert H.", "last_name"=>"Gilman", "scopus_author_id"=>"36044231400"}, {"first_name"=>"Caryn", "last_name"=>"Bern", "scopus_author_id"=>"7005785891"}, {"first_name"=>"Michael Z.", "last_name"=>"Levy", "scopus_author_id"=>"27167569100"}], "year"=>2012, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"pmid"=>"22253939", "sgr"=>"84856560811", "doi"=>"10.1371/journal.pntd.0001468", "scopus"=>"2-s2.0-84856560811", "pui"=>"364192327", "isbn"=>"1935-2735 (Electronic)\\r1935-2727 (Linking)", "issn"=>"19352727"}, "id"=>"048f3d47-4461-36f6-a14b-1ff9eb92f3bf", "abstract"=>"BACKGROUND: Chagas disease is endemic in the rural areas of southern Peru and a growing urban problem in the regional capital of Arequipa, population ∼860,000. It is unclear how to implement cost-effective screening programs across a large urban and periurban environment.\\n\\nMETHODS: We compared four alternative screening strategies in 18 periurban communities, testing individuals in houses with 1) infected vectors; 2) high vector densities; 3) low vector densities; and 4) no vectors. Vector data were obtained from routine Ministry of Health insecticide application campaigns. We performed ring case detection (radius of 15 m) around seropositive individuals, and collected data on costs of implementation for each strategy.\\n\\nRESULTS: Infection was detected in 21 of 923 (2.28%) participants. Cases had lived more time on average in rural places than non-cases (7.20 years versus 3.31 years, respectively). Significant risk factors on univariate logistic regression for infection were age (OR 1.02; p = 0.041), time lived in a rural location (OR 1.04; p = 0.022), and time lived in an infested area (OR 1.04; p = 0.008). No multivariate model with these variables fit the data better than a simple model including only the time lived in an area with triatomine bugs. There was no significant difference in prevalence across the screening strategies; however a self-assessment of disease risk may have biased participation, inflating prevalence among residents of houses where no infestation was detected. Testing houses with infected-vectors was least expensive. Ring case detection yielded four secondary cases in only one community, possibly due to vector-borne transmission in this community, apparently absent in the others.\\n\\nCONCLUSIONS: Targeted screening for urban Chagas disease is promising in areas with ongoing vector-borne transmission; however, these pockets of epidemic transmission remain difficult to detect a priori. The flexibility to adapt to the epidemiology that emerges during screening is key to an efficient case detection intervention. In heterogeneous urban environments, self-assessments of risk and simple residence history questionnaires may be useful to identify those at highest risk for Chagas disease to guide diagnostic efforts.", "link"=>"http://www.mendeley.com/research/field-trial-alternative-targeted-screening-strategies-chagas-disease-arequipa-peru", "reader_count"=>41, "reader_count_by_academic_status"=>{"Librarian"=>1, "Researcher"=>7, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Other"=>1, "Student > Master"=>9, "Student > Bachelor"=>5, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Librarian"=>1, "Researcher"=>7, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Other"=>1, "Student > Master"=>9, "Student > Bachelor"=>5, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Environmental Science"=>1, "Agricultural and Biological Sciences"=>14, "Medicine and Dentistry"=>15, "Arts and Humanities"=>1, "Sports and Recreations"=>2, "Chemistry"=>3, "Psychology"=>1, "Social Sciences"=>2, "Economics, Econometrics and Finance"=>1, "Unspecified"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>15}, "Chemistry"=>{"Chemistry"=>3}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>14}, "Environmental Science"=>{"Environmental Science"=>1}, "Unspecified"=>{"Unspecified"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Argentina"=>1, "United States"=>2, "Brazil"=>2, "Peru"=>1}, "group_count"=>5}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/694363"], "description"=>"<p><a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001468#pntd-0001468-g001\" target=\"_blank\">Figure 1</a> displays the scheme used to stratify households into 4 targeted strategies to screen household members for human <i>T. cruzi</i> infection. The stratification was based on Ministry of Health (MOH) entomologic data from recent spray campaigns and laboratory analysis in the city of Arequipa, Peru. <sup>1</sup> Although 81 households had <i>T.cruzi</i>-infected <i>T.infestans</i> at the time of spray, 1 household was no longer inhabited at the time of this study, and 2 refused to participate.</p>", "links"=>[], "tags"=>["targeted", "strategies", "chagas", "vector-control"], "article_id"=>364767, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Gabrielle C. Hunter", "Katty Borrini-Mayorí", "Jenny Ancca Juárez", "Ricardo Castillo Neyra", "Manuela R. Verastegui", "Fernando S. Málaga Chavez", "Juan Geny Cornejo del Carpio", "Eleazar Córdova Benzaquen", "César Náquira", "Robert H. Gilman", "Caryn Bern", "Michael Z. Levy"], "doi"=>["https://dx.doi.org/10.1371/journal.pntd.0001468.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flowchart_of_household_selection_into_targeted_screening_strategies_for_Chagas_disease_based_on_vector_control_data_/364767", "title"=>"Flowchart of household selection into targeted screening strategies for Chagas disease based on vector-control data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 10:04:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/694493"], "description"=>"1<p>Originally 81 houses had <i>T.cruzi</i>-infected triatomines, however 1 house was no longer inhabited at the time of this study.</p>2<p>27 additional households within 15 meters of an index human infection had already been approached under the previous strategies.</p>3<p>Number of participating households out of total households invited to participate.</p>4<p>Percent of household members participating of total household members >1 year old.</p>", "links"=>[], "tags"=>["targeted", "strategies", "individuals", "18", "periurban"], "article_id"=>364912, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Gabrielle C. Hunter", "Katty Borrini-Mayorí", "Jenny Ancca Juárez", "Ricardo Castillo Neyra", "Manuela R. Verastegui", "Fernando S. Málaga Chavez", "Juan Geny Cornejo del Carpio", "Eleazar Córdova Benzaquen", "César Náquira", "Robert H. Gilman", "Caryn Bern", "Michael Z. Levy"], "doi"=>["https://dx.doi.org/10.1371/journal.pntd.0001468.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_targeted_strategies_to_detect_T_cruzi_infected_individuals_in_18_periurban_communities_Arequipa_Peru_/364912", "title"=>"Comparison of targeted strategies to detect <i>T. cruzi</i>-infected individuals in 18 periurban communities, Arequipa, Peru.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 10:05:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/694544"], "description"=>"1<p>Total expenditure based on the salary for fieldworkers, data managers, or lab workers, respectively, at the time of the study.</p>2<p>Exchange rate of 3.00 Peruvian Nuevo Soles (PEN) to the U.S. dollar (USD).</p>", "links"=>[], "tags"=>["expenditures", "targeted"], "article_id"=>364959, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Gabrielle C. Hunter", "Katty Borrini-Mayorí", "Jenny Ancca Juárez", "Ricardo Castillo Neyra", "Manuela R. Verastegui", "Fernando S. Málaga Chavez", "Juan Geny Cornejo del Carpio", "Eleazar Córdova Benzaquen", "César Náquira", "Robert H. Gilman", "Caryn Bern", "Michael Z. Levy"], "doi"=>["https://dx.doi.org/10.1371/journal.pntd.0001468.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Total_expenditures_to_conduct_targeted_screening_for_T_cruzi_infection_in_Arequipa_Peru_all_strategies_/364959", "title"=>"Total expenditures to conduct targeted screening for <i>T. cruzi</i> infection in Arequipa, Peru, all strategies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 10:05:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/694600"], "description"=>"1<p>Poisson regressions included a random effect term to control for correlation among participants from the same household.</p>2<p>Univariate analysis of education includes only adults (age 18 or over).</p>3<p>The lifetime total number of places in which each participant had lived was tabulated from the migration histories, as were each participants' total number of years lived in a rural, periurban or urban location, and in a location recalled as being infested with <i>T. infestans</i>.</p>", "links"=>[], "tags"=>["poisson", "targeted"], "article_id"=>365012, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Gabrielle C. Hunter", "Katty Borrini-Mayorí", "Jenny Ancca Juárez", "Ricardo Castillo Neyra", "Manuela R. Verastegui", "Fernando S. Málaga Chavez", "Juan Geny Cornejo del Carpio", "Eleazar Córdova Benzaquen", "César Náquira", "Robert H. Gilman", "Caryn Bern", "Michael Z. Levy"], "doi"=>["https://dx.doi.org/10.1371/journal.pntd.0001468.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_Poisson_regressions_1_on_T_cruzi_infection_among_targeted_screening_participants_in_Arequipa_Peru_/365012", "title"=>"Univariate Poisson regressions<sup>1</sup> on <i>T. cruzi</i> infection among targeted screening participants in Arequipa, Peru.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 10:05:57"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[322, 550, 671, 773, 864, 955, 1048, 1135, 1223, 1308, 1387, 1465, 1534, 1602, 1673, 1744, 1813, 1885, 1955, 2026, 2093, 2160, 2228, 2290, 2349]}, {"subject_area"=>"/Biology and life sciences/Agriculture", "average_usage"=>[323, 536, 657, 751, 847, 939, 1032, 1114, 1201, 1279, 1355, 1431, 1516, 1582, 1656, 1719, 1791, 1848, 1919, 2000, 2068, 2127, 2208, 2281, 2359]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[312, 547, 668, 769, 861, 953, 1046, 1135, 1224, 1307, 1388, 1464, 1536, 1606, 1676, 1744, 1812, 1882, 1954, 2020, 2089, 2155, 2218, 2282, 2344]}, {"subject_area"=>"/Medicine and health sciences/Epidemiology", "average_usage"=>[318, 557, 682, 789, 871, 969, 1067, 1153, 1246, 1337, 1418, 1488, 1573, 1633, 1695, 1767, 1835, 1928, 1974, 2020, 2082, 2139, 2202, 2263, 2341]}, {"subject_area"=>"/Medicine and health sciences/Tropical diseases", "average_usage"=>[318, 641, 793, 914, 1020, 1113, 1234, 1345, 1446, 1565, 1664, 1752, 1824, 1900, 1980, 2054, 2132, 2215, 2270, 2358, 2434, 2498, 2579, 2629, 2698]}]}
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