{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:19:43Z","timestamp":1761581983045},"reference-count":29,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T00:00:00Z","timestamp":1595808000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To perform a descriptive analysis of the activities of the Schistosomiasis Control Program, as well as the spatial distribution of the condition in the state of Alagoas, Brazil, for the period from 2007 to 2016.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Descriptive ecological study. Data from positive human cases and operational data were collected in the Information System of the Schistosomiasis Control Program, and data for spatial analysis were collected on the website of the Brazilian Institute of Geography and Statistics. An analysis of spatial autocorrelation (Moran statistics) was performed, where a spatial pattern was established, which showed the Q1 and Q2 patterns to be the most important, and Q3 and Q4 representing transition areas.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In the years under study, at least 85% (<jats:italic>n<\/jats:italic>\u00a0=\u00a060\/70) of the municipalities carried out the activities recommended by the PCE (Schistosomiasis Control Program). Alagoas presented an average positivity rate of 7.1%, which is very high compared to the prevalence of 3.3% at the last national schistosomiasis survey conducted between 2010 and 2015. Moran's statistics showed 22\/70 municipalities forming a Q1 cluster, of high\/high pattern, and 32\/70 municipalities forming a Q2 cluster, of low\/low pattern, with the others in a transition area. Moran Map data, however, showed only 7\/70 municipalities in the endemic area with a spatial autocorrelation, with these municipalities having the Mundau River as a common element.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Schistosomiasis mansoni is of great importance for public health in Alagoas and that the use of spatial analysis can identify priority areas for preventive and control measures against schistosomiasis mansoni.<\/jats:p><\/jats:sec>","DOI":"10.1111\/tmi.13458","type":"journal-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T07:03:46Z","timestamp":1594105426000},"page":"1085-1092","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Analysis and spatial distribution of schistosomiasis mansoni in a historically endemic area of northeastern Brazil"],"prefix":"10.1111","volume":"25","author":[{"given":"Israel","family":"Gomes de Amorim Santos","sequence":"first","affiliation":[{"name":"Department of Parasitology Aggeu Magalh\u00e3es Institute Oswaldo Cruz Foundation Recife Brazil"},{"name":"Department of Biology State University of Alagoas, Campus II Santana do Ipanema Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ros\u00e1lia Elen","family":"Santos Ramos","sequence":"additional","affiliation":[{"name":"Department of Morphology Federal University of Sergipe Foundation S\u00e3o Crist\u00f3v\u00e3o Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dharliton","family":"Soares Gomes","sequence":"additional","affiliation":[{"name":"Department of Morphology Federal University of Sergipe Foundation S\u00e3o Crist\u00f3v\u00e3o Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Let\u00edcia","family":"Pereira Bezerra","sequence":"additional","affiliation":[{"name":"Department of Biology State University of Alagoas, Campus II Santana do Ipanema Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laryssa","family":"Oliveira Silva","sequence":"additional","affiliation":[{"name":"Department of Biology State University of Alagoas, Campus II Santana do Ipanema Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatyane","family":"Martins Cirilo","sequence":"additional","affiliation":[{"name":"Department of Biology State University of Alagoas, Campus II Santana do Ipanema Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luiz","family":"Carlos Alves","sequence":"additional","affiliation":[{"name":"Department of Parasitology Aggeu Magalh\u00e3es Institute Oswaldo Cruz Foundation Recife Brazil"},{"name":"Laboratory de Immunopathology Keizo Asami Federal University of Pernambuco Recife Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F\u00e1bio","family":"Andr\u00e9 Brayner","sequence":"additional","affiliation":[{"name":"Department of Parasitology Aggeu Magalh\u00e3es Institute Oswaldo Cruz Foundation Recife Brazil"},{"name":"Laboratory de Immunopathology Keizo Asami Federal University of Pernambuco Recife Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,7,27]]},"reference":[{"key":"e_1_2_6_2_1","unstructured":"World Health Organization.Global Health Estimates 2015: Deaths by Cause Age Sex by Country and by Region 2000 \u20102015[Internet]. 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