scholarly journals Public Health in Costa Rica

Nature ◽  
1944 ◽  
Vol 153 (3890) ◽  
pp. 617-617
Keyword(s):  
2021 ◽  
Author(s):  
Fabio Sanchez ◽  
Luis A Barboza ◽  
Paola Vásquez ◽  
Yury E García ◽  
Juan G Calvo ◽  
...  

The modeling of infectious diseases provides valuable input in the development of mitigating strategiesand implementation of public health interventions. We highlight results and current research conductedin Costa Rica using mathematical and statistical tools to develop optimal strategies for mosquito controland mosquito-borne disease prevention/control methods in the country.


2013 ◽  
Vol 62 (9) ◽  
pp. 1263-1271 ◽  
Author(s):  
Ma. de los A. Valverde ◽  
M. G. A. Goris ◽  
V. González ◽  
M. E. Anchia ◽  
P. Díaz ◽  
...  

Leptospira strains JICH 05 and INCIENSA 04 were isolated from hospitalized leptospirosis patients in the province of Puntarenas, Costa Rica. The isolates produced agglutination titres notably against members of serogroups Pyrogenes and Tarassovi, respectively, but appeared serologically unique in the cross agglutinin absorption test (CAAT). Therefore, JICH 05 and INCIENSA 04 were considered to represent two new serovars, designated Corredores and Costa Rica of the serogroups Pyrogenes and Tarassovi, respectively. Multilocus sequence genotyping revealed that both strain INCIENSA 04 and strain JICH 05 belong to Leptospira santarosai. These two new serovars are in addition to various other recently identified highly virulent serovars, including the new L. santarosai, serovar Arenal. Considering the fact that isolation and typing of leptospires from patients has only recently been introduced in Costa Rica, these findings suggest that various known and unknown virulent serovars of Leptospira are circulating in this country and probably beyond, thus posing a severe threat to public and probably veterinary health in the region.


1975 ◽  
Vol 8 (4) ◽  
pp. 178-183
Author(s):  
P Slade

Following the success of similar seminars in Brazil, Costa Rica and Thailand, the Pesticides Working Group of the FAO Industry Cooperative Programme sponsored and organized, with FAO, a fourth seminar on Efficient and Safe Use of Pesticides, in Kenya, in 1974. Public health aspects, weed control and animal health were covered in addition to crop protection problems. It is on the proceedings and conclusions of this seminar that the present article is largely based.


2015 ◽  
Vol 78 (4) ◽  
pp. 808-811 ◽  
Author(s):  
ESTEBAN VALVERDE BOGANTES ◽  
KAROLINA L. FALLAS-PADILLA ◽  
CARLOS E. RODRÍGUEZ-RODRÍGUEZ ◽  
HERIBERTO FERNÁNDEZ JARAMILLO ◽  
MARÍA LAURA ARIAS ECHANDI

In recent years, emerging pathogens have received special attention due to their consequences for public health. Given that Arcobacter has been isolated in Costa Rica from commercial meat poultry samples, the aim of this research was to determine its isolation frequency from laying hens, broilers, ducks, and geese and to compare two types of samples, namely, cloacal swabs and stool collection. Arcobacter was isolated from 22 (11%) of the 200 samples examined. Fifteen (55%), eight (30%), and four (15%) of the isolated strains were identified as A. butzleri, A. cryareophilus, and Arcobacter spp., respectively. Also, there is a statistically significant difference among the isolation frequencies of Arcobacter for the types of samples evaluated, yielding more isolates from stool samples than from cloacal swab collection. This work describes the distribution of Arcobacter in farm animals as potential sources for its spread from animal-derived products.


2019 ◽  
Vol 27 (1) ◽  
pp. 1-21
Author(s):  
PAOLA VÁSQUEZ ◽  
ANTONIO LORÍA ◽  
FABIO SÁNCHEZ ◽  
LUIS ALBERTO BARBOZA

Climate has been an important factor in shaping the distribution and incidence of dengue cases in tropical and subtropical countries. In Costa Rica, a tropical country with distinctive micro-climates, dengue has been endemic since its introduction in 1993, inflicting substantial economic, social, and public health repercussions. Using the number of dengue reported cases and climate data from 2007-2017, we fitted a prediction model applying a Generalized Additive Model (GAM) and Random Forest (RF) approach, which allowed us to retrospectively predict the relative risk of dengue in five climatological diverse municipalities around the country.


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