ISSN / EISSN : 21573999 / 21573999
Current Publisher: Public Library of Science (PLoS) (10.1371)
Total articles ≅ 681
Latest articles in this journal
PLoS Currents; doi:10.1371/currents
PLoS Currents, Volume 10; doi:10.1371/currents.outbreaks.9934c8779f27f8fa6e4d59d3197dff85
PLoS Currents, Volume 10; doi:10.1371/currents.dis.8267b8917b47bc12ff3a712fe4589fe1
Background: Heavy rain hit Sudan in August 2013 with subsequent flash floods in different parts of the country. This study investigated the impact of the flooding on incidence of malaria in Almanagil Locality in central Sudan.
PLoS Currents, Volume 10; doi:10.1371/currents.dis.f272fef04c7222a546e03450221a69d1
Introduction: Disasters with substantial impacts to the health care and public health systems can have multiple reverberating effects, including the need to alter the medical standard of care as well as centrally control scarce medical resources. A current crisis care plan can help to establish an ethical and operational framework for stakeholders before such a disaster takes place. However, there are few examples of such a plan that cover large areas and health jurisdictions. This article describes the process of developing such a “Crisis Care Plan.”
PLoS Currents, Volume 10; doi:10.1371/currents.dis.e597ed667989b083254fefcac8853875
PLoS Currents, Volume 10; doi:10.1371/currents.outbreaks.bae5a0fd685616839c9cf857792730d1
Introduction: Determining the potential risk of foodborne illness has become critical for informing policy decisions, due to the increasing availability and popularity of unpasteurized (raw) milk.
PLoS Currents, Volume 10; doi:10.1371/currents.outbreaks.7257f6b05d8c18cf9e6eb222248be79f
Introduction: Chikungunya is an incipient disease, caused by Chikungunya virus (CHKV) that belongs to genus alphavirus of the family Togaviridae.
PLoS Currents, Volume 10; doi:10.1371/currents.dis.f659ce48594ea47f5a20de03e9dfa43a
Background: Animal ownership has been identified as a risk factor for human survivability of natural disasters. Animal guardians have been reported to react or act in ways that may put their own safety and that of emergency services personnel at risk when faced with a natural disaster. Recent research has suggested that this risk factor could be reconfigured as a protective factor, whereby desires to save animals from natural disaster harm could motivate increased planning and preparedness behaviours amongst animal guardians. However, there has been no research to determine if bushfire planning and response behaviours differ between pet owners with low and high attachment; and how the relationship may differ in relation to small or large animals. Methods and procedure: We investigated the relationship between people’s emotional attachment to different types of pets and their preparation and actions during the Pinery bushfire in South Australia in November 2015. Thirty-four people who were impacted by the fire participated in an online survey. Data were collected about their preparedness, planning and response behaviours as well as their animal attachment (high or low). Results: We identified 10 characteristics (behaviours, attributes, skills and beliefs) associated with high animal attachment scores, and eight associated with low animal attachment scores. Discussion: Our discussion of the differences in demographics, preparedness, planning and response characteristics of participants with high and low animal attachment confirms research suggesting that animal guardians take risks to save their animals during disasters. Our findings also support recent propositions that animal attachment and ownership could be used to increase the natural disaster preparedness and survivability of animal guardians. However, making sure that animal attachment functions as a protective factor requires active and effective intervention through education, behaviour change and social marketing strategies. Whilst our study is high in ecological validity, future research with larger samples sizes is required to determine the generalisability of our findings to animal owners and guardians in other locations, facing fires with other characteristics, especially for owners and guardians with low levels of attachment.
PLoS Currents, Volume 10; doi:10.1371/currents.dis.223ac4322834aa0bb0d6824ee424e7f8
Introduction: An all-of-society approach to disaster risk reduction emphasizes inclusion and engagement in preparedness activities. A common recommendation is to promote household preparedness through the preparation of a ‘grab bag’ or ‘disaster kit’, that can be used to shelter-in-place or evacuate. However, there are knowledge gaps related to how this strategy is being used around the world as a disaster risk reduction strategy, and what evidence there is to support recommendations.
PLoS Currents, Volume 10; doi:10.1371/currents.dis.cbf57c8ac3b239ba51ccc801d3362c07
Studies show that natural disasters influence voters’ perception of incumbent politicians. To investigate whether voters are prone to punish politicians for events that are out of their control, this study was conducted in the previously unstudied context of Croatia, and by considering some of the methodological issues of previous studies. Matching method technique was used, which ensures that affected and non-affected areas are matched on several control variables. The cases of natural disaster in the present study were floods that affected Croatia in 2014 and 2015. Main results showed that, prior to matching, floods had an impact on voting behaviour in the 2014 and 2015 elections. Voters from flooded areas decreased their support for the incumbent government and president in the elections following the floods. However, once we accounted for differences in control variables between flooded and non-flooded areas, the flood effect disappeared. Furthermore, results showed that neither the presence nor the amount of the government’s relief spending had an impact on voting behaviour. Discussion: Presented results imply that floods did not have an impact on the election outcome. Results are interpreted in light of the retrospective voter model.