[ { "key": "DKHMXMIM", "version": 1016, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/DKHMXMIM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/DKHMXMIM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Stojanovich and Scott", "parsedDate": "1997", "numChildren": 0 }, "data": { "key": "DKHMXMIM", "version": 1016, "itemType": "book", "title": "Illustrated Key to the Adult Male Mosquitoes of America (north of Mexico)", "creators": [ { "creatorType": "author", "firstName": "C.J.", "lastName": "Stojanovich" }, { "creatorType": "author", "firstName": "H.G.", "lastName": "Scott" } ], "abstractNote": "", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "", "date": "1997", "publisher": "P. Stojanovich and H.G. Scott", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "numPages": "", "ISBN": "", "DOI": "", "citationKey": "", "url": "https://books.google.com/books?id=YdoQAQAAMAAJ", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "IQQ9VUIA" ], "relations": {}, "dateAdded": "2022-01-19T17:39:44Z", "dateModified": "2022-01-19T17:39:44Z" } }, { "key": "5R38XUKH", "version": 1013, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/5R38XUKH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/5R38XUKH", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/JDNJRWY2", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "5R38XUKH", "version": 1013, "parentItem": "JDNJRWY2", "itemType": "attachment", "linkMode": "imported_file", "title": "DeGroote et al. - 2014 - Landscape, demographic and climatic associations w.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "DeGroote et al. - 2014 - Landscape, demographic and climatic associations w.pdf", "md5": "7a10361abe92a72505d7615f8dfd8d3d", "mtime": 1539362320899, "tags": [], "relations": {}, "dateAdded": "2018-10-12T16:38:39Z", "dateModified": "2018-10-12T16:38:40Z" } }, { "key": "JDNJRWY2", "version": 1011, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/JDNJRWY2", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/JDNJRWY2", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "DeGroote et al.", "parsedDate": "2014-11-01", "numChildren": 1 }, "data": { "key": "JDNJRWY2", "version": 1011, "itemType": "journalArticle", "title": "Landscape, demographic and climatic associations with human West Nile virus occurrence regionally in 2012 in the United States of America", "creators": [ { "creatorType": "author", "firstName": "John P.", "lastName": "DeGroote" }, { "creatorType": "author", "firstName": "Ramanathan", "lastName": "Sugumaran" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Ecker" } ], "abstractNote": "After several years of low West Nile virus (WNV) occurrence in the United States of America (USA), 2012 witnessed large outbreaks in several parts of the country. In order to understand the outbreak dynamics, spatial clustering and landscape, demographic and climatic associations with WNV occurrence were investigated at a regional level in the USA. Previous research has demonstrated that there are a handful of prominent WNV mosquito vectors with varying ecological requirements responsible for WNV transmission in the USA. Published range maps of these important vectors were georeferenced and used to define eight functional ecological regions in the coterminous USA. The number of human WNV cases and human populations by county were attained in order to calculate a WNV rate for each county in 2012. Additionally, a binary value (high/low) was calculated for each county based on whether the county WNV rate was above or below the rate for the region it fell in. Global Moran’s I and Anselin Local Moran’s I statistics of spatial association were used per region to examine and visualize clustering of the WNV rate and the high/low rating. Spatial data on landscape, demographic and climatic variables were compiled and derived from a variety of sources and then investigated in relation to human WNV using both Spearman rho correlation coefficients and Poisson regression models. Findings demonstrated significant spatial clustering of WNV and substantial inter-regional differences in relationships between WNV occurrence and landscape, demographic and climatically related variables. The regional associations were consistent with the ecologies of the dominant vectors for those regions. The large outbreak in the Southeast region was preceded by higher than normal winter and spring precipitation followed by dry and hot conditions in the summer.", "publicationTitle": "Geospatial health", "publisher": "", "place": "", "date": "2014-11-01", "volume": "9", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "153", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.4081/gh.2014.13", "citationKey": "", "url": "http://geospatialhealth.net/index.php/gh/article/view/13", "accessDate": "2018-10-12T16:38:40Z", "PMID": "", "PMCID": "", "ISSN": "1970-7096, 1827-1987", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "VXLVKYYT" ], "relations": {}, "dateAdded": "2018-10-12T16:38:40Z", "dateModified": "2018-10-12T16:38:40Z" } }, { "key": "C4MX9VNS", "version": 1012, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/C4MX9VNS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/C4MX9VNS", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/AAMFQZGI", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "C4MX9VNS", "version": 1012, "parentItem": "AAMFQZGI", "itemType": "attachment", "linkMode": "imported_file", "title": "DeGroote and Sugumaran - 2012 - National and Regional Associations Between Human W.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "DeGroote and Sugumaran - 2012 - National and Regional Associations Between Human W.pdf", "md5": "e4478170da5483098acc653a93270a72", "mtime": 1539362316216, "tags": [], "relations": {}, "dateAdded": "2018-10-12T16:38:35Z", "dateModified": "2018-10-12T16:38:36Z" } }, { "key": "AAMFQZGI", "version": 1011, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/AAMFQZGI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/AAMFQZGI", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "DeGroote and Sugumaran", "parsedDate": "2012", "numChildren": 1 }, "data": { "key": "AAMFQZGI", "version": 1011, "itemType": "journalArticle", "title": "National and Regional Associations Between Human West Nile Virus Incidence and Demographic, Landscape, and Land Use Conditions in the Coterminous United States", "creators": [ { "creatorType": "author", "firstName": "John P.", "lastName": "DeGroote" }, { "creatorType": "author", "firstName": "Ramanathan", "lastName": "Sugumaran" } ], "abstractNote": "The incidence of human West Nile virus (WNV) varies spatially and temporally and is influenced by a wide range of biotic and abiotic factors. There are numerous important vector species, with variable geographic ranges and ecologies, considered crucial to the transmission of WNV in the coterminous United States. To date there has been a lack of a systematic investigation in the United States, at a regional scale, of the wide variety of landscape, land use, and demographic influences on WNV incidence. In this study, we use published vector species distribution maps, as well as prominent landscape features, to define six distinct regions of the coterminous United States. We relate data on demographic, landscape, and land use conditions to the incidence of human WNV by region recorded at county level in the coterminous United States from 2002–2009. The observed relationships varied by region with the Great Plains, Northwest, and Southwest regions showing high WNV incidence associated with rural irrigated landscapes, indicating the importance of Culex tarsalis as the primary vector. In the Southeast, the percent of the population in poverty was positively associated with high WNV incidence, potentially indicating the quality of housing in relation to the vector Culex quinquefasciatus, a mosquito that often feeds indoors. The Northeast region human WNV incidence was positively associated with agricultural landscapes, potentially implying the importance of Culex restuans in a region generally thought of as being dominated by Culex pipiens transmission. There was strong spatial autocorrelation in most of the regions, but with a spatial autologistic term accounted for in binary logistic regression models, there were significant landscape, land use, and demographic covariates for each region.", "publicationTitle": "Vector-Borne and Zoonotic Diseases", "publisher": "", "place": "", "date": "08/2012", "volume": "12", "issue": "8", "section": "", "partNumber": "", "partTitle": "", "pages": "657-665", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1089/vbz.2011.0786", "citationKey": "", "url": "https://www.liebertpub.com/doi/10.1089/vbz.2011.0786", "accessDate": "2018-10-12T16:38:36Z", "PMID": "", "PMCID": "", "ISSN": "1530-3667, 1557-7759", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "VXLVKYYT" ], "relations": {}, "dateAdded": "2018-10-12T16:38:36Z", "dateModified": "2018-10-12T16:38:36Z" } }, { "key": "JVVYKAVQ", "version": 1009, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/JVVYKAVQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/JVVYKAVQ", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/RML3WDE6", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "JVVYKAVQ", "version": 1009, "parentItem": "RML3WDE6", "itemType": "attachment", "linkMode": "imported_file", "title": "Young et al. - 2013 - A remote sensing and GIS-assisted landscape epidem.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Young et al. - 2013 - A remote sensing and GIS-assisted landscape epidem.pdf", "md5": "ec42a9cd0780a5ead4a58959056a232d", "mtime": 1539362231652, "tags": [], "relations": {}, "dateAdded": "2018-10-12T16:37:09Z", "dateModified": "2018-10-12T16:37:12Z" } }, { "key": "RML3WDE6", "version": 1008, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/RML3WDE6", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/RML3WDE6", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Young et al.", "parsedDate": "2013", "numChildren": 1 }, "data": { "key": "RML3WDE6", "version": 1008, "itemType": "journalArticle", "title": "A remote sensing and GIS-assisted landscape epidemiology approach to West Nile virus", "creators": [ { "creatorType": "author", "firstName": "Sean G.", "lastName": "Young" }, { "creatorType": "author", "firstName": "Jason A.", "lastName": "Tullis" }, { "creatorType": "author", "firstName": "Jackson", "lastName": "Cothren" } ], "abstractNote": "Landscape epidemiology, sometimes called spatial epidemiology, is a sub-discipline of medical geography that uses environmental conditions as explanatory variables in the study of disease or other health phenomena. Machine learning is a sub-discipline of artificial intelligence that can be used to create predictive models from large and complex datasets. West Nile virus (WNV) is a relatively new infectious disease in the United States, and has a fairly well-understood transmission cycle that is believed to be highly dependent on environmental conditions. This study takes a remote sensing and GIS approach to the study of WNV, using both landscape epidemiology and machine learning techniques. A combination of remotely sensed and in situ variables is used to predict WNV incidence with a correlation coefficient as high as 0.86. A novel method of mitigating the effect of limited case numbers is also tested and ultimately discarded. A consistent spatial pattern of model errors is identified, indicating the chosen variables are capable of predicting WNV disease risk across most of the United States, but are inadequate in the northern Great Plains region of the US.", "publicationTitle": "Applied Geography", "publisher": "", "place": "", "date": "12/2013", "volume": "45", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "241-249", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1016/j.apgeog.2013.09.022", "citationKey": "", "url": "https://linkinghub.elsevier.com/retrieve/pii/S0143622813002361", "accessDate": "2018-10-12T16:37:10Z", "PMID": "", "PMCID": "", "ISSN": "01436228", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "VXLVKYYT" ], "relations": {}, "dateAdded": "2018-10-12T16:37:10Z", "dateModified": "2018-10-12T16:37:10Z" } }, { "key": "9TR8FNBQ", "version": 1007, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/9TR8FNBQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/9TR8FNBQ", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/SMNBE8NU", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } } }, "data": { "key": "9TR8FNBQ", "version": 1007, "parentItem": "SMNBE8NU", "itemType": "attachment", "linkMode": "imported_file", "title": "Harrigan_etal_2014_gcb12534-sup-0001-datas1.docx", "accessDate": "", "url": "", "note": "", "contentType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "charset": "", "filename": "Harrigan_etal_2014_gcb12534-sup-0001-datas1.docx", "md5": "35e60c9f0c7e54fcf2528fe49c14a874", "mtime": 1539356944100, "tags": [], "relations": {}, "dateAdded": "2018-10-12T15:09:20Z", "dateModified": "2018-10-12T15:09:20Z" } }, { "key": "BPNT7SJV", "version": 1004, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/BPNT7SJV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/BPNT7SJV", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/ZZL85BXJ", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "BPNT7SJV", "version": 1004, "parentItem": "ZZL85BXJ", "itemType": "attachment", "linkMode": "imported_file", "title": "Paull et al. - 2017 - Drought and immunity determine the intensity of We.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Paull et al. - 2017 - Drought and immunity determine the intensity of We.pdf", "md5": "80a3fc89a1648facc796471dc1bfe85e", "mtime": 1539356554252, "tags": [], "relations": {}, "dateAdded": "2018-10-12T15:02:32Z", "dateModified": "2018-10-12T15:02:34Z" } }, { "key": "ZZL85BXJ", "version": 1003, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/ZZL85BXJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/ZZL85BXJ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Paull et al.", "parsedDate": "2017-02-08", "numChildren": 1 }, "data": { "key": "ZZL85BXJ", "version": 1003, "itemType": "journalArticle", "title": "Drought and immunity determine the intensity of West Nile virus epidemics and climate change impacts", "creators": [ { "creatorType": "author", "firstName": "Sara H.", "lastName": "Paull" }, { "creatorType": "author", "firstName": "Daniel E.", "lastName": "Horton" }, { "creatorType": "author", "firstName": "Moetasim", "lastName": "Ashfaq" }, { "creatorType": "author", "firstName": "Deeksha", "lastName": "Rastogi" }, { "creatorType": "author", "firstName": "Laura D.", "lastName": "Kramer" }, { "creatorType": "author", "firstName": "Noah S.", "lastName": "Diffenbaugh" }, { "creatorType": "author", "firstName": "A. Marm", "lastName": "Kilpatrick" } ], "abstractNote": "", "publicationTitle": "Proceedings of the Royal Society B: Biological Sciences", "publisher": "", "place": "", "date": "2017-02-08", "volume": "284", "issue": "1848", "section": "", "partNumber": "", "partTitle": "", "pages": "20162078", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1098/rspb.2016.2078", "citationKey": "", "url": "http://rspb.royalsocietypublishing.org/lookup/doi/10.1098/rspb.2016.2078", "accessDate": "2018-10-12T15:02:33Z", "PMID": "", "PMCID": "", "ISSN": "0962-8452, 1471-2954", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "VXLVKYYT" ], "relations": {}, "dateAdded": "2018-10-12T15:02:33Z", "dateModified": "2018-10-12T15:02:34Z" } }, { "key": "PLE67UF2", "version": 1001, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/PLE67UF2", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/PLE67UF2", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/6DFV7ZH9", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "PLE67UF2", "version": 1001, "parentItem": "6DFV7ZH9", "itemType": "attachment", "linkMode": "imported_file", "title": "Shaman - 2002 - Using a Dynamic Hydrology Model To Predict Mosquit.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Shaman - 2002 - Using a Dynamic Hydrology Model To Predict Mosquit.pdf", "md5": "46463eb4aad324b648fac7251278b325", "mtime": 1539355466235, "tags": [], "relations": {}, "dateAdded": "2018-10-12T14:44:20Z", "dateModified": "2018-10-12T14:44:26Z" } }, { "key": "GELH79IR", "version": 998, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/GELH79IR", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/GELH79IR", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/NH5DTRQX", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "GELH79IR", "version": 998, "parentItem": "NH5DTRQX", "itemType": "attachment", "linkMode": "imported_file", "title": "Valdez et al. - 2017 - Effects of rainfall on Culex mosquito population d.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Valdez et al. - 2017 - Effects of rainfall on Culex mosquito population d.pdf", "md5": "5f397c1f06844a09313b3ff14c66f42d", "mtime": 1539355466892, "tags": [], "relations": {}, "dateAdded": "2018-10-12T14:44:21Z", "dateModified": "2018-10-12T14:44:26Z" } }, { "key": "6DFV7ZH9", "version": 997, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/6DFV7ZH9", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/6DFV7ZH9", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Shaman", "parsedDate": "2002", "numChildren": 1 }, "data": { "key": "6DFV7ZH9", "version": 997, "itemType": "journalArticle", "title": "Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water", "creators": [ { "creatorType": "author", "firstName": "Jeffrey", "lastName": "Shaman" } ], "abstractNote": "", "publicationTitle": "Emerging Infectious Diseases", "publisher": "", "place": "", "date": "1/2002", "volume": "8", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "8-13", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.3201/eid0801.010049", "citationKey": "", "url": "http://www.cdc.gov/ncidod/eid/vol8no1/01-0049.htm", "accessDate": "2018-10-12T14:44:26Z", "PMID": "", "PMCID": "", "ISSN": "10806040", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "98MNIPUI" ], "relations": {}, "dateAdded": "2018-10-12T14:44:26Z", "dateModified": "2018-10-12T14:44:26Z" } }, { "key": "77K7L7WI", "version": 999, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/77K7L7WI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/77K7L7WI", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/8BEY99J4", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "77K7L7WI", "version": 999, "parentItem": "8BEY99J4", "itemType": "attachment", "linkMode": "imported_file", "title": "Leisnham et al. - 2006 - Relationships between mosquito densities in artifi.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Leisnham et al. - 2006 - Relationships between mosquito densities in artifi.pdf", "md5": "a1234d65e3e92a1492ed59cb5b1a693c", "mtime": 1539355465602, "tags": [], "relations": {}, "dateAdded": "2018-10-12T14:44:22Z", "dateModified": "2018-10-12T14:44:25Z" } }, { "key": "NH5DTRQX", "version": 997, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/NH5DTRQX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/NH5DTRQX", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Valdez et al.", "parsedDate": "2017", "numChildren": 1 }, "data": { "key": "NH5DTRQX", "version": 997, "itemType": "journalArticle", "title": "Effects of rainfall on Culex mosquito population dynamics", "creators": [ { "creatorType": "author", "firstName": "L.D.", "lastName": "Valdez" }, { "creatorType": "author", "firstName": "G.J.", "lastName": "Sibona" }, { "creatorType": "author", "firstName": "L.A.", "lastName": "Diaz" }, { "creatorType": "author", "firstName": "M.S.", "lastName": "Contigiani" }, { "creatorType": "author", "firstName": "C.A.", "lastName": "Condat" } ], "abstractNote": "The dynamics of a mosquito population depends heavily on climatic variables such as temperature and precipitation. Since climate change models predict that global warming will impact on the frequency and intensity of rainfall, it is important to understand how these variables affect the mosquito populations. We present a model of the dynamics of a Culex quinquefasciatus mosquito population that incorporates the effect of rainfall and use it to study the influence of the number of rainy days and the mean monthly precipitation on the maximum yearly abundance of mosquitoes Mmax. Additionally, using a fracturing process, we investigate the influence of the variability in daily rainfall on Mmax. We find that, given a constant value of monthly precipitation, there is an optimum number of rainy days for which Mmax is a maximum. On the other hand, we show that increasing daily rainfall variability reduces the dependence of Mmax on the number of rainy days, leading also to a higher abundance of mosquitoes for the case of low mean monthly precipitation. Finally, we explore the effect of the rainfall in the months preceding the wettest season, and we obtain that a regimen with high precipitations throughout the year and a higher variability tends to advance slightly the time at which the peak mosquito abundance occurs, but could significantly change the total mosquito abundance in a year.", "publicationTitle": "Journal of Theoretical Biology", "publisher": "", "place": "", "date": "05/2017", "volume": "421", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "28-38", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1016/j.jtbi.2017.03.024", "citationKey": "", "url": "https://linkinghub.elsevier.com/retrieve/pii/S0022519317301431", "accessDate": "2018-10-12T14:44:25Z", "PMID": "", "PMCID": "", "ISSN": "00225193", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "98MNIPUI" ], "relations": {}, "dateAdded": "2018-10-12T14:44:25Z", "dateModified": "2018-10-12T14:44:25Z" } }, { "key": "8BEY99J4", "version": 997, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/8BEY99J4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/8BEY99J4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Leisnham et al.", "parsedDate": "2006", "numChildren": 1 }, "data": { "key": "8BEY99J4", "version": 997, "itemType": "journalArticle", "title": "Relationships between mosquito densities in artificial container habitats, land use and temperature in the Kapiti‐Horowhenua region, New Zealand", "creators": [ { "creatorType": "author", "firstName": "Paul T.", "lastName": "Leisnham" }, { "creatorType": "author", "firstName": "Philip J.", "lastName": "Lester" }, { "creatorType": "author", "firstName": "David P.", "lastName": "Slaney" }, { "creatorType": "author", "firstName": "Philip", "lastName": "Weinstein" } ], "abstractNote": "", "publicationTitle": "New Zealand Journal of Marine and Freshwater Research", "publisher": "", "place": "", "date": "06/2006", "volume": "40", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "285-297", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/00288330.2006.9517421", "citationKey": "", "url": "http://www.tandfonline.com/doi/abs/10.1080/00288330.2006.9517421", "accessDate": "2018-10-12T14:44:24Z", "PMID": "", "PMCID": "", "ISSN": "0028-8330, 1175-8805", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "98MNIPUI" ], "relations": {}, "dateAdded": "2018-10-12T14:44:24Z", "dateModified": "2018-10-12T14:44:25Z" } }, { "key": "KQRX5G6G", "version": 1000, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/KQRX5G6G", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/KQRX5G6G", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/E9PZRACD", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "KQRX5G6G", "version": 1000, "parentItem": "E9PZRACD", "itemType": "attachment", "linkMode": "imported_file", "title": "Paaijmans et al. - 2007 - Unexpected High Losses of Anopheles gambiae Larvae.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Paaijmans et al. - 2007 - Unexpected High Losses of Anopheles gambiae Larvae.pdf", "md5": "3d4ec254d98a31d8abc2f27dba2b07a4", "mtime": 1539355464695, "tags": [], "relations": {}, "dateAdded": "2018-10-12T14:44:23Z", "dateModified": "2018-10-12T14:44:24Z" } }, { "key": "E9PZRACD", "version": 997, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/E9PZRACD", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/E9PZRACD", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Paaijmans et al.", "parsedDate": "2007-11-07", "numChildren": 1 }, "data": { "key": "E9PZRACD", "version": 997, "itemType": "journalArticle", "title": "Unexpected High Losses of Anopheles gambiae Larvae Due to Rainfall", "creators": [ { "creatorType": "author", "firstName": "Krijn P.", "lastName": "Paaijmans" }, { "creatorType": "author", "firstName": "Moses O.", "lastName": "Wandago" }, { "creatorType": "author", "firstName": "Andrew K.", "lastName": "Githeko" }, { "creatorType": "author", "firstName": "Willem", "lastName": "Takken" }, { "creatorType": "editor", "firstName": "Dee", "lastName": "Carter" } ], "abstractNote": "", "publicationTitle": "PLoS ONE", "publisher": "", "place": "", "date": "2007-11-7", "volume": "2", "issue": "11", "section": "", "partNumber": "", "partTitle": "", "pages": "e1146", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1371/journal.pone.0001146", "citationKey": "", "url": "http://dx.plos.org/10.1371/journal.pone.0001146", "accessDate": "2018-10-12T14:44:24Z", "PMID": "", "PMCID": "", "ISSN": "1932-6203", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "98MNIPUI" ], "relations": {}, "dateAdded": "2018-10-12T14:44:24Z", "dateModified": "2018-10-12T14:44:24Z" } }, { "key": "3B6XY842", "version": 993, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/3B6XY842", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/3B6XY842", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Eisen et al.", "parsedDate": "2014-05-01", "numChildren": 1 }, "data": { "key": "3B6XY842", "version": 993, "itemType": "journalArticle", "title": "The Impact of Temperature on the Bionomics of Aedes ( Stegomyia ) aegypti , With Special Reference to the Cool Geographic Range Margins", "creators": [ { "creatorType": "author", "firstName": "Lars", "lastName": "Eisen" }, { "creatorType": "author", "firstName": "Andrew J.", "lastName": "Monaghan" }, { "creatorType": "author", "firstName": "Saul", "lastName": "Lozano-Fuentes" }, { "creatorType": "author", "firstName": "Daniel F.", "lastName": "Steinhoff" }, { "creatorType": "author", "firstName": "Mary H.", "lastName": "Hayden" }, { "creatorType": "author", "firstName": "Paul E.", "lastName": "Bieringer" } ], "abstractNote": "The mosquito Aedes (Stegomyia) aegypti (L.), which occurs widely in the subtropics and tropics, is the primary urban vector of dengue and yellow fever viruses, and an important vector of chikungunya virus. There is substantial interest in how climate change may impact the bionomics and pathogen transmission potential of this mosquito. This Forum article focuses speciÞcally on the effects of temperature on the bionomics of Ae. aegypti, with special emphasis on the cool geographic range margins where future rising temperatures could facilitate population growth. Key aims are to: 1) broadly deÞne intra-annual (seasonal) patterns of occurrence and abundance of Ae. aegypti, and their relation to climate conditions; 2) synthesize the existing quantitative knowledge of how temperature impacts the bionomics of different life stages of Ae. aegypti; 3) better deÞne the temperature ranges for which existing population dynamics models for Ae. aegypti are likely to produce robust predictions; 4) explore potential impacts of climate warming on human risk for exposure to Ae. aegypti at its cool range margins; and 5) identify knowledge or data gaps that hinder our ability to predict risk of human exposure to Ae. aegypti at the cool margins of its geographic range now and in the future. We Þrst outline basic scenarios for intra-annual occurrence and abundance patterns for Ae. aegypti, and then show that these scenarios segregate with regard to climate conditions in selected cities where they occur. We then review how near-constant and intentionally ßuctuating temperatures impact development times and survival of eggs and immatures. A subset of data, generated in controlled experimental studies, from the published literature is used to plot development rates and survival of eggs, larvae, and pupae in relation to water temperature. The general shape of the relationship between water temperature and development rate is similar for eggs, larvae, and pupae. Once the lower developmental zero temperature (10 Ð14ЊC) is exceeded, there is a near-linear relationship up to 30ЊC. Above this temperature, the development rate is relatively stable or even decreases slightly before falling dramatically near the upper developmental zero temperature, which occurs at ϳ38 Ð 42ЊC. Based on life stage-speciÞc linear relationships between water temperature and development rate in the 15Ð28ЊC range, the lower developmental zero temperature is estimated to be 14.0ЊC for eggs, 11.8ЊC for larvae, and 10.3ЊC for pupae. We further conclude that available population dynamics models for Ae. aegypti, such as CIMSiM and Skeeter Buster, likely produce robust predictions based on water temperatures in the 16 Ð35ЊC range, which includes the geographic areas where Ae. aegypti and its associated pathogens present the greatest threat to human health, but that they may be less reliable in cool range margins where water temperatures regularly fall below 15ЊC. Finally, we identify knowledge or data gaps that hinder our ability to predict risk of human exposure to Ae. aegypti at the cool margins of its range, now and in the future, based on impacts on mosquito population dynamics of temperature and other important factors, such as water nutrient content, larval density, presence of biological competitors, and human behavior.", "publicationTitle": "Journal of Medical Entomology", "publisher": "", "place": "", "date": "2014-05-01", "volume": "51", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "496-516", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1603/ME13214", "citationKey": "", "url": "https://academic.oup.com/jme/article-lookup/doi/10.1603/ME13214", "accessDate": "2018-10-12T14:43:36Z", "PMID": "", "PMCID": "", "ISSN": "0022-2585, 1938-2928", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Crossref", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "YYXUBRJL" ], "relations": {}, "dateAdded": "2018-10-12T14:43:36Z", "dateModified": "2018-10-12T14:43:36Z" } }, { "key": "XZZGM3WS", "version": 993, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/XZZGM3WS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/XZZGM3WS", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/508334/items/3B6XY842", "type": "application/json" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "XZZGM3WS", "version": 993, "parentItem": "3B6XY842", "itemType": "attachment", "linkMode": "imported_file", "title": "Eisen et al. - 2014 - The Impact of Temperature on the Bionomics of iA.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Eisen et al. - 2014 - The Impact of Temperature on the Bionomics of iA.pdf", "md5": "c38ff3ba67245ac3dd8024fb0bbb4e7f", "mtime": 1517505915091, "tags": [], "relations": {}, "dateAdded": "2018-10-12T14:43:20Z", "dateModified": "2018-10-12T14:43:36Z" } }, { "key": "69ZA968Z", "version": 993, "library": { "type": "group", "id": 508334, "name": "iSEE GI GIS Project", "links": { "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/508334/items/69ZA968Z", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/isee_gi_gis_project/items/69ZA968Z", "type": "text/html" } }, "meta": { "createdByUser": { "id": 3036567, "username": "amackay", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/amackay", "type": "text/html" } } }, "creatorSummary": "Ewing et al.", "parsedDate": "2016", "numChildren": 1 }, "data": { "key": "69ZA968Z", "version": 993, "itemType": "journalArticle", "title": "Modelling the effect of temperature on the seasonal population dynamics of temperate mosquitoes", "creators": [ { "creatorType": "author", "firstName": "D.A.", "lastName": "Ewing" }, { "creatorType": "author", "firstName": "C.A.", "lastName": "Cobbold" }, { "creatorType": "author", "firstName": "B.V.", "lastName": "Purse" }, { "creatorType": "author", "firstName": "M.A.", "lastName": "Nunn" }, { "creatorType": "author", "firstName": "S.M.", "lastName": "White" } ], "abstractNote": "Mosquito-borne diseases cause substantial mortality and morbidity worldwide. These impacts are widely predicted to increase as temperatures warm and extreme precipitation events become more frequent, since mosquito biology and disease ecology are strongly linked to environmental conditions. However, direct evidence linking environmental change to changes in mosquito-borne disease is rare, and the ecological mechanisms that may underpin such changes are poorly understood. Environmental drivers, such as temperature, can have non-linear, opposing impacts on the demographic rates of different mosquito life cycle stages. As such, model frameworks that can deal with fluctuations in temperature explicitly are required to predict seasonal mosquito abundance, on which the intensity and persistence of disease transmission under different environmental scenarios depends. We present a novel, temperature-dependent, delay-differential equation model, which incorporates diapause and the differential effects of temperature on the duration and mortality of each life stage and demonstrates the sensitivity of seasonal abundance patterns to inter- and intra-annual changes in temperature. 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