Int J Health Geogr - Effects of georeferencing effort on mapping monkeypox case distributions and transmission risk.

Tópicos

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Resumo

CKGROUND: Maps of disease occurrences and GIS-based models of disease transmission risk are increasingly common, and both rely on georeferenced diseases data. Automated methods for georeferencing disease data have been widely studied for developed countries with rich sources of geographic referenced data. However, the transferability of these methods to countries without comparable geographic reference data, particularly when working with historical disease data, has not been as widely studied. Historically, precise geographic information about where individual cases occur has been collected and stored verbally, identifying specific locations using place names. Georeferencing historic data is challenging however, because it is difficult to find appropriate geographic reference data to match the place names to. Here, we assess the degree of care and research invested in converting textual descriptions of disease occurrence locations to numerical grid coordinates (latitude and longitude). Specifically, we develop three datasets from the same, original monkeypox disease occurrence data, with varying levels of care and effort: the first based on an automated web-service, the second improving on the first by reference to additional maps and digital gazetteers, and the third improving still more based on extensive consultation of legacy surveillance records that provided considerable additional information about each case. To illustrate the implications of these seemingly subtle improvements in data quality, we develop ecological niche models and predictive maps of monkeypox transmission risk based on each of the three occurrence data sets.RESULTS: We found macrogeographic variations in ecological niche models depending on the type of georeferencing method used. Less-careful georeferencing identified much smaller areas as having potential for monkeypox transmission in the Sahel region, as well as around the rim of the Congo Basin. These results have implications for mapping efforts, as each higher level of georeferencing precision required considerably greater time investment.CONCLUSIONS: The importance of careful georeferencing cannot be overlooked, despite it being a time- and labor-intensive process. Investment in archival storage of primary disease-occurrence data is merited, and improved digital gazetteers are needed to support public health mapping activities, particularly in developing countries, where maps and geographic information may be sparse.

Resumo Limpo

ckground map diseas occurr gisbas model diseas transmiss risk increas common reli georeferenc diseas data autom method georeferenc diseas data wide studi develop countri rich sourc geograph referenc data howev transfer method countri without compar geograph refer data particular work histor diseas data wide studi histor precis geograph inform individu case occur collect store verbal identifi specif locat use place name georeferenc histor data challeng howev difficult find appropri geograph refer data match place name assess degre care research invest convert textual descript diseas occurr locat numer grid coordin latitud longitud specif develop three dataset origin monkeypox diseas occurr data vari level care effort first base autom webservic second improv first refer addit map digit gazett third improv still base extens consult legaci surveil record provid consider addit inform case illustr implic seem subtl improv data qualiti develop ecolog nich model predict map monkeypox transmiss risk base three occurr data setsresult found macrogeograph variat ecolog nich model depend type georeferenc method use lesscar georeferenc identifi much smaller area potenti monkeypox transmiss sahel region well around rim congo basin result implic map effort higher level georeferenc precis requir consider greater time investmentconclus import care georeferenc overlook despit time laborintens process invest archiv storag primari diseaseoccurr data merit improv digit gazett need support public health map activ particular develop countri map geograph inform may spars

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