01922nas a2200265   4500000000100000008004100001260003400042653005700076653001700133653002400150653002100174653002900195100001400224700001200238700001400250700001100264700001100275700001300286700001300299700001300312700001500325245006700340520122400407022002501631       2020                            d  bOxford University Press (OUP)10aPublic Health, Environmental and Occupational Health10aParasitology10aInfectious Diseases10aGeneral Medicine10aSpatiotemporal modelling1 aBayles BR1 aRusk AE1 aPineda MA1 aChen B1 aDagy K1 aHummel T1 aKuwada K1 aMartin S1 aGuzmán CF00aSpatiotemporal trends of cutaneous leishmaniasis in Costa Rica3 a<jats:title>Abstract</jats:title>
               <jats:sec>
                  <jats:title>Background</jats:title>
                  <jats:p>Cutaneous leishmaniasis (CL) remains an important neglected tropical disease in Costa Rica, which has one of the largest burdens of this disease in Latin America.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Methods</jats:title>
                  <jats:p>We identified district-level hotspots of CL from 2006 to 2017 and conducted temporal analysis to identify where hotspots were increasing across the country.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Results</jats:title>
                  <jats:p>Clear patterns of CL risk were detected, with persistent hotspots located in the Caribbean region, where risk was also found to be increasing over time in some areas.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Conclusions</jats:title>
                  <jats:p>We identify spatiotemporal hotspots, which may be used in support of the leishmaniasis plan of action for the Americas.</jats:p>
               </jats:sec>  a0035-9203, 1878-3503