2012
DOI: 10.4081/gh.2012.111
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Smooth incidence maps give valuable insight into Q fever outbreaks in The Netherlands

Abstract: Abstract. From 2007 through 2009, TheNetherlands faced large outbreaks of human Q fever. Control measures focused primarily on dairy goat farms because these were implicated as the main source of infection for the surrounding population. However, in other countries, outbreaks have mainly been associated with non-dairy sheep and The Netherlands has many more sheep than goats. Therefore, a public discussion arose about the possible role of non-dairy (meat) sheep in the outbreaks. To inform decision makers about … Show more

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Cited by 25 publications
(25 citation statements)
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“…Subsequently, it was demonstrated that, during the outbreaks in the Netherlands, infected sheep were a source of infection to humans only in case of direct contact with the sheep, but not for the surrounding population (van der Hoek et al, 2012b).…”
Section: Human Q Fever Outbreaks Related To Small Ruminantsmentioning
confidence: 99%
“…Subsequently, it was demonstrated that, during the outbreaks in the Netherlands, infected sheep were a source of infection to humans only in case of direct contact with the sheep, but not for the surrounding population (van der Hoek et al, 2012b).…”
Section: Human Q Fever Outbreaks Related To Small Ruminantsmentioning
confidence: 99%
“…Epidemiological researches have reported that abortion waves on dairy goat flocks could be a source for human infection especially people living near to the flocks (31). Humans are infected through inhalation of aerosols generated from contaminated placentas and body fluids (3).…”
Section: Discussionmentioning
confidence: 99%
“…Although the simple dot map was the most commonly used method, a wide range of techniques were applied, including more sophisticated data visualisations and analytic tools. Across the range of studies, there were examples of spatial tools being usefully applied throughout the course of an outbreak investigation; from initial confirmation of the outbreak to describing and analysing [11,18-28,30-36,38,40-50,55,56,58-60, 63,67-69,71-76,80,82-85,87-93,96-105] Thematic map 25 [18,19,[21][22][23]28,29,38,41,42,45,46,50,60,68,70,74,80,82,89,91,[93][94][95]103] Rate map 14 [20,30,44,45,49,50,57,63,70,76,79,81,90,101] Smoothed incidence map 13 [11,31,[48][49][50]73,…”
Section: Discussionmentioning
confidence: 99%
“…Several studies also highlighted the usefulness of maps in reports or Reports by continent presentations to communicate results to health officials [29,47], policymakers [49,50] and the public [38]. Sarkar and colleagues, for example, presented dot maps of cases of acute diarrhoeal disease in a village in southern India to the local community and health authorities [46].…”
Section: Communicating Findingsmentioning
confidence: 99%