Buscar en
Revista Argentina de Microbiología
Toda la web
Inicio Revista Argentina de Microbiología Intestinal parasites in child and youth populations of Argentina: Environmental ...
Información de la revista
Vol. 53. Núm. 3.
Páginas 225-232 (Julio - Septiembre 2021)
Descargar PDF
Más opciones de artículo
Vol. 53. Núm. 3.
Páginas 225-232 (Julio - Septiembre 2021)
Original article
Open Access
Intestinal parasites in child and youth populations of Argentina: Environmental factors determining geographic distribution
Parásitos intestinales en poblaciones infanto-juveniles de Argentina: Factores ambientales que determinan su distribución
Paola Cociancica,
Autor para correspondencia

Corresponding author.
, Sandra Edith Torrusiob, Mariela Garrazac,d, María Lorena Zontaa, Graciela Teresa Navonea
a Centro de Estudios Parasitológicos y de Vectores (CEPAVE-CONICET-UNLP-asociado a CICPBA), La Plata, Buenos Aires, Argentina
b Comisión Nacional de Actividades Espaciales (CONAE), Ciudad de Buenos Aires, Buenos Aires, Argentina
c Laboratorio de Investigaciones en Ontogenia y Adaptación (LINOA), Facultad de Ciencias Naturales y Museo (FCNyM), Universidad Nacional de La Plata (UNLP), La Plata, Buenos Aires, Argentina
d Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), La Plata, Buenos Aires, Argentina
Información del artículo
Texto completo
Descargar PDF
Figuras (2)
Tablas (3)
Table 1. Overview of environmental variables used to model the risk of intestinal parasitosis in children and youth from Argentina.
Table 2. Prevalence of parasite species found in the analyzed provinces.
Table 3. Risk factors for infection with protozoa, Blastocystis sp., Giardia lamblia, geohelminths, Ascaris lumbricoides and hookworms (Ancylostoma duodenale/Necator americanus)a
Mostrar másMostrar menos

The transmission of intestinal parasites is generally considered to be “mediated by the environment” which suggests that they are particularly sensitive to the changes that occur in it. The aim of the present study was to evaluate the environmental variables that act as risk factors for intestinal parasitosis in children and youths in Argentina. The association between environmental variables related to temperature, precipitation and soil and parasitosis found in children and youths from different provinces was evaluated, including land use/cover classes obtained from satellite images. Of the total population analyzed, 66.9% of the participants were parasitized. The total number of identified parasite species was 17 and the most prevalent were Blastocystis sp. (42.2%), Enterobius vermicularis (33.6%) and Giardia lamblia (17.0%). Infection by protozoa, and by G. lamblia in particular, was greater when the mean summer temperature was higher (OR=1.2 for both). Blastocystis sp. and geohelminths were greater due to an increase in isothermality (OR=1.1 and 1.2, respectively). The risk of infection with Ascaris lumbricoides was associated with an increase in the temperature in the wettest quarter (OR=1.2). Hookworm infection was associated with an increase in the normalized difference vegetation index (OR=32.5). Most of participants infected with hookworms lived in areas with abundant arboreal-shrubby and agropastoral use vegetation. The heterogeneous distribution of enteric parasites is indicative of the wide environmental variability of Argentina.

Intestinal parasites
Vegetation coverage

La transmisión de parásitos intestinales se considera, en general, «mediada por el ambiente», lo que sugiere que dichos organismos son particularmente sensibles a los cambios que ocurren en aquel. El objetivo del presente estudio fue evaluar las variables ambientales que actúan como factores de riesgo de parasitosis intestinal en niños y jóvenes de la Argentina. Se evaluó la asociación entre las variables ambientales relacionadas con la temperatura, la precipitación y el suelo, incluyendo las clases de uso/cobertura del suelo obtenidas de imágenes satelitales, y las parasitosis halladas en niños y jóvenes de diferentes provincias. El 66,9% de los individuos incluidos en el análisis estuvo parasitado. Se observaron 17 especies parásitas; las más prevalentes fueron Blastocystis sp. (42,2%), Enterobius vermicularis (33,6%) y Giardia lamblia (17%). La infección por protozoos y, en particular por G. lamblia, fue de mayor magnitud cuando se incrementó la temperatura media de verano (OR=1,2 para ambos). El riesgo de infección por Blastocystis sp. y geohelmintos fue mayor con un aumento de la isotermalidad (OR=1,1 y OR=1,2, respectivamente). El riesgo de infección por Ascaris lumbricoides estuvo asociado con un aumento de la temperatura en el trimestre más húmedo (OR=1,2). La infección por anquilostomideos estuvo asociada con un incremento en el índice de vegetación de diferencia normalizada (OR=32,5). La mayoría de los parasitados con anquilostomideos habitaban áreas con abundante vegetación arbórea-arbustiva y de uso agropastoril. La distribución heterogénea de parásitos intestinales refleja la amplia variabilidad ambiental presente en la Argentina.

Palabras clave:
Parásitos intestinales
Cobertura vegetal
Texto completo

Intestinal parasitosis caused by protozoa and helminths (e.g. Giardia lamblia, Blastocystis sp., Ascaris lumbricoides, hookworms – Ancylostoma duodenale and Necator americanus) are the most common infections among neglected infectious diseases23. It is estimated that more than 3500 million people, mainly children from developing countries, are infected with intestinal parasites. Parasitic infections can cause diarrhea and intestinal malabsorption, and in the most severe cases may affect the physical growth and intellectual development of children, as well as the labor productivity of adults12,30.

The transmission of intestinal parasites is generally considered to be “mediated by the environment”, which suggests that they are particularly sensitive to the changes that occur in it11. In this context, several studies showed an association between intestinal parasitosis and environmental factors (e.g. temperature, precipitation, vegetation indices)4–6,16,27. In particular, it is not surprising to observe that the prevalence of parasitic infection varies among locations due to the environmental diversity present in Argentina, with an evidently decreasing trend from north to south and from east to west3,8,9,18–20,28.

Despite the available information that explains the differences in the prevalence of enteroparasitosis, there are limited studies on the relationship with environmental variables4. For this reason, the present study aimed to evaluate the environmental variables that represent risk factors for parasitic infection in children and youth populations in Argentina.

Materials and methodsStudy area

The study was carried out in six provinces of Argentina: Misiones, Formosa and Entre Ríos (north), Buenos Aires and Mendoza (center) and Chubut (south)3. Populations from urban, periurban and rural areas of Cainguás department (Misiones), Pilcomayo department (Formosa), Villaguay department (Entre Ríos), Berazategui, Brandsen, La Plata, Lincoln, Punta Indio and Tandil departments (Buenos Aires), San Rafael department (Mendoza) and Cushamen, Futaleufú, Gaiman, Gastre, Languiñeo, Telsen and Biedma departments (Chubut) were analyzed (Fig. 1).

Figure 1.

Geographic location of Argentina and the provinces analyzed. Distribution of hookworms (Ancylostoma duodenale/Necator americanus) in relation to the land use/cover classes of the study area in Formosa (a) and Misiones (b). Figure 1a shows the Clorinda city and surroundings (Formosa province), including Asunción del Paraguay city (Paraguay), using an unsupervised classification of Landsat 8 OLI image, and Figure 1b shows the Cainguás Department (Misiones province) using an unsupervised classification of Landsat 5 TM image. The land use/cover classes were: water (blue), arboreal-shrubby vegetation (dark green), vegetation of agropastoral use (light green) and urban area (gray). Note the presence of hookworms as black dots.


The provinces were selected due to their contrasting environmental characteristics. Misiones has a temperate tropical-subtropical climate without a dry season, an average annual temperature of 20°C and an annual rainfall ranging between 1600 and 2000mm. The soils are deep, well drained and with extensive vegetation cover. Formosa province has a warm subtropical climate and an evident seasonal thermal amplitude. The average annual temperature is 23°C and rainfall is uniform throughout the year, sometimes exceeding 1200mm. The soils are poorly drained. The study area of Entre Ríos province has average temperatures of approximately 20°C and abundant rainfall that varies between 1000 and 1400mm. The soils are poorly drained. The sites analyzed in Buenos Aires province have a mild-humid to sub-humid climate and warm summers. The annual average temperatures vary between 15 and 18°C and the rainfall is distributed throughout the year, fluctuating between 600 and 1100mm. The soils are rich in nutrients and organic matter and have an excellent agricultural aptitude. In Mendoza province, the climate is semi-arid, temperate-dry with an average annual temperature of 15°C and marked thermal amplitudes. The average annual rainfall is approximately 300mm. Chubut province has a mild to cold and humid climate with strong winds and frequent snowfall, winter rainfall and frost. The average annual temperature is of the order of 10°C and the soils are stony and poor in organic matter.

Parasitological analysis

The study included 3937 individuals (Buenos Aires n=1411, Chubut n=377, Entre Ríos n=268, Formosa n=114, Mendoza n=752, Misiones n=1015). The participants were under 14 years of age and of both sexes (50.5% girls and 49.5% boys). The populations were analyzed between 2005–2008 and 2010–2016 in Buenos Aires; 2010–2013 and 2017 in Chubut; 2010–2012 in Entre Ríos; 2014 in Formosa; 2008–2011 in Mendoza; and between 2005–2008 in Misiones.

Meetings with children, youths and parents were held in different institutions (public schools, community canteens, health-care centers and non-governmental institutions) in order to inform them about the biology of intestinal parasites and strategies to prevent them. Free parasitological tests were offered. Children and youths who had given written and oral consent were included in the study. Each consenting family was provided with two vials for each participant for stool samples and anal swabs for diagnosing intestinal parasites. Samples were collected during 5–7 successive days. They were asked to fill the vial with a nut-sized stool sample each day. Anal swabs were specifically obtained each morning before getting up by rubbing the perianal margins with sterile gauze and the samples were placed in the vial immediately afterwards. Coproparasitological tests were performed using formalin-ethyl acetate concentration, Willis, Sheather and/or FLOTAC Pellet with saturated sodium chloride and zinc sulphate flotation solutions10,13,30. The anal swab technique was used as a specific method for the detection of Enterobiusvermicularis24. The anal-swab vials were agitated vigorously, and the suspensions were centrifuged for 10min at 400×g. Staining with Lugol and Ziehl-Neelsen was used when necessary. Every sample was examined using an optical microscope at 100×, 400× and 1000× magnifications. The identification of parasitic elements was based on their measures and morphological characteristics.

Environmental data extraction

Households and institutions to which the analyzed participants belonged (educational institutions, communal and health centers) were georeferenced with geographical coordinates using Google Earth.

A total of 27 environmental variables were considered based on their perceived biological relevance for survival and dispersal of intestinal parasites. The examined variables were the 19 bioclimatic variables and the precipitation, and the maximum, average and minimum temperature variables from WorldClim for the current climatic conditions (average climate data from 1970 to 2000), soil pH from ISRIC World Soil Information, altitude from the NASA Shuttle Radar Topographic Mission (SRTM), and normalized difference (NDVI) and enhanced (EVI) vegetation indices from MODIS/Terra.

In addition, Landsat images provided by CONAE and USGS were evaluated. The images were selected according to the sampling year and subsequently, they were calibrated atmospherically and radiometrically, and classified by an unsupervised method by k-means7,17. The land use/cover classes obtained were validated using overall accuracy and the Kappa index22, reaching values higher than 95% and 0.8, respectively. Quantum GIS and SoPI software were used.

Statistical analysis

The Pearson's test was performed to assess the correlation between the environmental variables, using a correlation coefficient >0.75. Data source, spatial resolution and maximum correlation values of the selected variables are summarized in Table 1. Subsequently, the linearity of each environmental variable with respect to the parasitic logit was analyzed using dispersion diagrams. The variables that showed a linear relationship were evaluated by generalized linear models, considering those that presented a lower Akaike information criterion as better models. The variables that showed a non-linear relationship were analyzed using generalized additive models and it was considered a good model if it presented an explained return greater than 70%. Odds ratio (OR) values and their respective 95% confidence intervals (95% CI) were calculated. The goodness of fit of the final model was evaluated using the Hosmer–Lemeshow test and a p value >0.05 indicated an adequate model. All statistical analyses were performed using the R software.

Table 1.

Overview of environmental variables used to model the risk of intestinal parasitosis in children and youth from Argentina.

Variable  Source  Resolution  Maximum correlation 
Mean diurnal range  WorldClim  5km  0.76 
Isothermality  WorldClim  5km  0.60 
Temperature seasonality  WorldClim  5km  0.53 
Mean temperature of wettest quarter  WorldClim  5km  0.74 
Mean summer temperature  WorldClim  5km  0.74 
Altitude  SRTM  900.76 
Normalized difference vegetation index (NDVI)  MODIS/Terra  1km  0.74 
Enhanced vegetation index (EVI)  MODIS/Terra  1km  0.74 

WorldClim-Global Climate data (http://www.worldclim.org/).

SRTM-NASA Shuttle Radar Topographic Mission (http://srtm.csi.cgiar.org/).

MODIS/Terra-Moderate Resolution Imaging Spectroradiometer from CONAE (http://catalogos.conae.gov.ar/catalogo/) and US Geological Survey (https://earthexplorer.usgs.gov/).

Ethical aspects

The study was performed without affecting the physical, psychological and moral integrity of the participants and protecting their identity. This research was approved by the Comité de Ética de la Escuela Latinoamericana de Bioética (CELABE) under Resolution No. 003/2016, Record No. 73. The study was conducted in accordance with the principles proclaimed in the Universal Declaration of Human Rights (1948), the ethical standards established by the Nüremberg Code (1947), the Declaration of Helsinki (1964) and its successive amendments. Special attention was also paid to Article 5 of the Regulation Decree of National Law 25.326.


Of the total population analyzed, 66.9% (2633/3937) were parasitized by at least one parasite species. Protozoan infection was more frequent than helminth infection (52.7% and 39.6%, respectively). The total number of identified parasite species was 17 and the most prevalent ones were Blastocystis sp. (42.2%), Enterobius vermicularis (33.6%) and Giardia lamblia (17.0%). Moreover, 7.7% were parasitized with at least one geohelminth species, hookworms and Strongyloides stercoralis (4.3% and 3.0%, respectively) being the most frequent. Entamoeba coli was the most prevalent non-pathogenic species (12.9%) (Table 2).

Table 2.

Prevalence of parasite species found in the analyzed provinces.

Parasite species  ProvinceTotal n (%) 
  Buenos Aires  Chubut  Entre Ríos  Formosa  Mendoza  Misiones   
Total  66.8  38.7  58.6  78.1  61.8  82.1  2633 (66.9) 
Protozoa  50.7  24.7  35.1  71.9  53.3  68.0  2075 (52.7) 
Blastocystis sp.  36.4  17.5  27.2  57.9  44.7  59.6  1660 (42.2) 
Chilomastix mesnili  0.7  0.0  0.0  0.9  0.5  0.5  20 (0.5) 
Cryptosporidium spp.  0.1  0.0  0.0  0.0  0.0  0.0  1 (0.03) 
Dientamoeba fragilis  0.1  0.0  0.0  0.0  0.0  0.0  2 (0.1) 
Endolimax nana  8.6  2.4  4.5  14.0  2.7  6.5  245 (6.2) 
Entamoeba coli  13.0  6.4  5.6  21.1  14.6  14.9  508 (12.9) 
Entamoeba histolytica/dispar  0.0  0.0  0.0  0.0  0.1  0.3  4 (0.1) 
Enteromonas hominis  2.2  0.8  0.4  0.0  0.0  0.6  41 (1.0) 
Giardia lamblia  15.9  6.1  11.9  37.7  18.8  20.2  668 (17.0) 
Iodamoeba bütschlii  0.8  0.0  1.1  0.9  0.5  1.4  33 (0.8) 
Helminths  40.6  20.2  39.6  40.4  25.9  55.7  1559 (39.6) 
Enterobius vermicularis  36.9  19.6  38.4  19.3  24.6  41.0  1321 (33.6) 
Hymenolepis nana  3.3  0.5  1.1  12.3  1.1  5.0  125 (3.2) 
Taenia spp.  0.0  0.0  0.0  0.0  0.0  0.3  3 (0.1) 
Geohelminths  2.9  0.0  0.7  17.5  0.7  23.3  303 (7.7) 
Hookworms (Ancylostoma duodenale/Necator americanus)  0.0  0.0  0.0  2.6  0.4  16.2  170 (4.3) 
Ascaris lumbricoides  2.4  0.0  0.0  7.9  0.3  2.6  71 (1.8) 
Strongyloides. stercoralis  0.2  0.0  0.0  0.9  0.0  11.1  117 (3.0) 
Trichuris trichiura  1.1  0.0  0.7  7.0  0.0  0.0  26 (0.7) 

The highest prevalence of intestinal parasitosis was observed in Misiones (82.1%) and Formosa (78.1%), followed by Buenos Aires (66.8%), Mendoza (61.8%), Entre Ríos (58.6%) and Chubut (38.7%). Protozoan infection was more prevalent in Formosa (71.9%) and Misiones (68.0%), and less prevalent in Chubut (24.7%). Blastocystis sp. was more frequent in Misiones (59.6%) and Formosa (57.9%) and less frequent in Chubut (17.5%). The highest prevalence of infection by G. lamblia was observed in Formosa (37.7%) and Misiones (20.2%), and the lowest prevalence was found in Chubut (6.1%). Geohelminth infection was more prevalent in Misiones (23.3%) and Formosa (17.5%), and was absent in Chubut. Among the geohelminth species, Ascaris lumbricoides and Trichuris trichiura were more prevalent in Formosa (7.9% and 7.0%, respectively), and hookworms and S. stercoralis in Misiones (16.2% and 11.1%, respectively) (Table 2).

Infection by protozoa, and by G. lamblia in particular, was greater when the mean summer temperature was higher (OR=1.2 for both). On the other hand, it was observed that for each increase in isothermality, the risk of infection by Blastocystis sp. increased (OR=1.1). Isothermality was also associated with an increased risk of geohelminth infection (OR=1.2). The risk of infection with A. lumbricoides was associated with an increase in the mean temperature of the wettest quarter (OR=1.2). On the other hand, infection by hookworms was associated with an increase in NDVI (OR=32.5) (Table 3). Fig. 2 shows the parasitic logit with respect to each environmental variable. In Misiones province, 45.5% of the participants infected by hookworms lived in areas with abundant arboreal-shrubby vegetation, and 36.4% in areas with vegetation of agropastoral use. In contrast, a minor proportion of infected participants lived in urban areas (18.2%). However, in Formosa province, 66.7% of the infected participants lived in urban areas and 33.3% in areas of vegetation of agropastoral use (Fig. 1a and b).

Table 3.

Risk factors for infection with protozoa, Blastocystis sp., Giardia lamblia, geohelminths, Ascaris lumbricoides and hookworms (Ancylostoma duodenale/Necator americanus)a

  β  SE  OR (95% CI)  p value  p (H–L) 
Mean summer temperature  0.2  0.02  1.2 (1.1–1.3)  <0.001  0.9 
Blastocystis sp.
Isothermality  0.1  0.01  1.1 (1.1–1.12)  <0.001  0.8 
Giardia lamblia
Mean summer temperature  0.2  0.03  1.2 (1.1–1.2)  <0.001  0.9 
Isothermality  0.2  0.02  1.2 (1.1–1.2)  <0.001  0.9 
Ascaris lumbricoides
Mean temperature of wettest quarter  0.2  0.1  1.2 (1.1–1.3)  0.003  1.0 
Normalized difference vegetation index (NDVI)  3.5  0.9  32.5 (5.4–196.5)  <0.001  0.6 

B: regression coefficient; SE: standard error; OR: odds ratio; CI: confidence interval; p(H-L): p value of Hosmer–Lemeshow.


Other models were considered but only the selected ones are shown.

Figure 2.

Risk variables in relation to logit of infection with protozoa (a), Blastocystis sp. (b), Giardia lamblia (c), geohelminths (d), Ascaris lumbricoides (e) and hookworms (f).


The present study shows that the intestinal parasitosis found in the populations analyzed are associated with environmental factors related to the temperature and soil characteristics in the different study areas.

The risk of infection by protozoa and, by Giardia lamblia in particular, was associated with the mean temperature in the summer months. Other studies showed an increased risk of giardiasis when the temperature increased1,16. Warm temperatures can prolong the infective period of cysts and facilitate transmission through reservoirs and vectors or through intensified pathogen-host interactions. Likewise, the expected global increase in temperature and rainfall could favor the survival and dispersion of cysts, exposing new populations to parasitic infection. Likewise, an increase in temperature could also favor infection by other pathogens (e.g. Cryptosporidium spp.), which have the same mode of transmission and that have been positively associated with higher temperatures16.

The risk of infection by Blastocystis sp. and geohelminths was positively associated with isothermality. It is known that extreme temperature conditions could adversely affect the survival of parasitic forms present in the environment. On one hand, the cystic form of Blastocystis sp. can survive for one month at room temperature and two months at 4°C. Although this is the most resistant form of Blastocystis sp., this parasite is affected by extreme temperatures. In contrast, the vacuolar form frequently found in feces is highly sensitive to changes in temperature14,29. On the other hand, embryonic development of geohelminths occurs within defined temperature limits between 28 and 32°C, suggesting that extreme values could inhibit the development and therefore the infectivity of these species2.

It has been observed that as the mean temperature in the wettest quarter increased, the risk of infection with Ascaris lumbricoides was greater. Similarly, Chammartin and collaborators observed that the risk of infection was higher due to an increase in the mean temperature in the warmest quarter6. Similar results were found in Malaysia, where the mean soil surface temperature was positively associated with the infection; however, the minimum and maximum temperatures showed a negative association21. Likewise, Brooker and collaborators reported that in Uganda the highest prevalence was observed in areas with temperatures of 30°C and it decreased in areas where the temperature exceeded 38°C2. This result was attributed to the effects of extreme heat and insufficient humidity on egg survival and embryonic development.

The risk of infection with hookworms became higher as the NDVI increased. Similar results were found in Brazil and South Africa26,27. In contrast, a negative association was observed between the NDVI and hookworm infection; however, in China, a positive association with A. lumbricoides and Trichuris trichiura infection was reported15. However, other studies stated that geohelminthiasis is generally frequent in areas with forest cover because forests provide shade and prevent desiccation of the soil surface, thus protecting the larvae from solar radiation21,25.

In Argentina, a bibliographic review conducted by Juárez and Rajal (2013) reported that there is a coincidence between the parasite species found in both fecal and environmental samples12. This finding suggests that parasites that can cause intestinal disorders in humans can be isolated from samples of water and soil that are exposed to different environmental conditions. The intestinal parasites found in this study are indicative of the different climatic-environmental conditions present in Argentina. The present study generated knowledge about the environmental factors that are associated with an increased risk of parasitic infection. Thus, it strengthens the development of control and prevention strategies that would improve the quality of life of the most vulnerable populations.


This work was funded by the Universidad Nacional de La Plata (UNLP-11/N 679 y N759), Agencia Nacional de Promoción Científica y Tecnológica (PICT 1541) and Consejo Nacional de Investigaciones Científicas y Técnicas (PIP 734, PIO N13420130100004CO).

Conflict of interest

The authors declare that they have no conflicts of interest.


The authors are grateful to the local authorities, the educational community and the participants of this study for their cooperation. We are also thankful to Graciela Minardi for their help with the statistical analyses and to Evelia Oyhenart for the help given in the samples collection.

E. Britton, S. Hales, K. Venugopal, M.G. Baker.
The impact of climate variability and change on cryptosporidiosis and giardiasis rates in New Zealand.
J Water Health, 8 (2010), pp. 561-571
S. Brooker, N.B. Kabatereine, E.M. Tukahebwa, F. Kazibwe.
Spatial analysis of the distribution of intestinal nematode infections in Uganda.
Epidemiol Infect, 132 (2004), pp. 1065-1071
R. Burkart, N.O. Bárbaro, R.O. Sánchez, D.A. Gómez.
Eco-regiones de la Argentina.
Programa de Desarrollo Institucional, Administración de Parques Nacionales, (1999),
F. Chammartin, R.G.C. Scholte, L.H. Guimarães, M. Tanner, J. Utzinger, P. Vounatsou.
Soil-transmitted helminth infection in South America: a systematic review and geostatistical meta-analysis.
Lancet Infect Dis, 13 (2013), pp. 507-518
F. Chammartin, R.G.C. Scholte, J.B. Malone, M.E. Bavia, P. Nieto, J. Utzinger, P. Vounatsou.
Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia.
Parasit Vectors, 6 (2013), pp. 152
F. Chammartin, L.H. Guimarães, R.G.C. Scholte, M.E. Bavia, J. Utzinger, P. Vounatsou.
Spatio-temporal distribution of soil-transmitted helminth infections in Brazil.
Parasit Vectors, 7 (2014), pp. 440
G. Chander, B.L. Markham, D.L. Helder.
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors.
REMOTE SENS ENVIRON, 113 (2009), pp. 893-903
P. Cociancic, L. Rinaldi, M.L. Zonta, G.T. Navone.
Formalin-ethyl acetate concentration, FLOTAC Pellet and anal swab techniques for the diagnosis of intestinal parasites.
Parasitol Res, 117 (2018), pp. 3567-3573
P. Cociancic, M.L. Zonta, G.T. Navone.
A cross-sectional study of intestinal parasitoses in dogs and children of the periurban area of La Plata (Buenos Aires, Argentina): zoonotic importance and implications in public health.
Zoonoses Public Health, 65 (2018), pp. 44-53
G. Cringoli, L. Rinaldi, M.P. Maurelli, J. Utzinger.
FLOTAC: new multivalent techniques for qualitative and quantitative copromicroscopic diagnosis of parasites in animals and humans.
Nat Protoc, 5 (2010), pp. 503-515
J.N.S. Eisenberg, M.A. Desai, K. Levy, S.J. Bates, S. Liang, Naumoff, J.C. Scott.
Environmental determinants of infectious disease: a framework for tracking causal links and guiding public health research.
Environ Health Perspect, 115 (2007), pp. 1216-1223
M.M. Juárez, V.B. Rajal.
Parasitosis intestinales en Argentina: principales agentes causales encontrados en la población y en el ambiente.
Rev Argent Microbiol, 45 (2013), pp. 191-204
R.G. Kaminsky.
Manual de Parasitología: Técnicas para laboratorio de atención primaria de salud y para el diagnóstico de las enfermedades infecciosas desatendidas.
Tegucigalpa, Honduras, (2014),
L.E. Kozubsky, S. Archelli.
Algunas consideraciones acerca de Blastocystis sp., un parásito controversial.
Acta Bioquim Clin L, 44 (2010), pp. 371-376
Y.S. Lai, X.N. Zhou, J. Utzinger, P. Vounatsou.
Bayesian geostatistical modelling of soil-transmitted helminth survey data in the people's Republic of China.
Parasit Vectors, 6 (2013), pp. 359
A. Lal, M.G. Baker, S. Hales, N.P. French.
Potential effects of global environmental changes on cryptosporidiosis and giardiasis transmission.
Trends Parasitol, 29 (2013), pp. 83-90
M. Macedo-Cruz, G. Pajares-Martinsanz, M. Santos-Peñas.
Clasificación no supervisada con imágenes a color de cobertura terrestre.
Agrociencia, 44 (2010), pp. 711-722
Ministerio de Economía de la Nación, Instituto Nacional de Estadística y Censos de Argentina.
Censo Nacional de Población, Hogares y Vivienda 2010, INDEC, (2010),
Ministerio de Economía y Finanzas Públicas de la Nación Argentina, Subsecretaría de Relaciones con Provincias, Dirección Nacional de Relaciones Económicas con las Provincias (DINREP).
G.T. Navone, M.L. Zonta, P. Cociancic, M. Garraza, M.I. Gamboa, L.A. Giambelluca, S. Dahinten, E.E. Oyhenart.
Estudio transversal de las parasitosis intestinales en poblaciones infantiles de Argentina.
Rev Panam Salud Publica, 41 (2017), pp. e24
R. Ngui, A. Shafie, K.H. Chua, M.S. Mistam, H.M. Al-Mekhlafi, W.W.W. Sulaiman, R. Mahmud, et al.
Mapping and modelling the geographical distribution of soil-transmitted helminthiases in Peninsular Malaysia: implications for control approaches.
Geospat Health, 8 (2014), pp. 365-376
V. Olaya.
Sistemas de Información Geográfica.
CreateSpace Independent Publishing Platform, (2011),
Pan American Health Organization.
Neglected infectious diseases in the Americas.
Success stories and innovation to reach the neediest, (2016),
B.C. Pezzani, M.C. Minvielle, M.M. de Luca, M.A. Córdoba, M.C. Apezteguía, J.A. Basualdo.
Enterobius vermicularis infection among population of General Mansilla, Argentina.
World J Gastroenterol, 10 (2004), pp. 2535-2539
R.L. Pullan, S.J. Brooker.
The global limits and population at risk of soil-transmitted helminth infections in 2010.
Parasit Vectors, 5 (2012), pp. 81
E. Saathoff, A. Olsen, B. Sharp, J.D. Kvalsvig, C.C. Appleton, I. Kleinschmidt.
Ecologic covariates of hookworm infection and reinfection in rural Kwazulu-Natal/South Africa: a geographic information system-based study.
Am J Trop Med Hyg, 72 (2005), pp. 384-391
R.G.C. Scholte, N. Schur, M.E. Bavia, E.M. Carvalho, F. Chammartin, J. Utzinger, P. Vounatsou.
Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models.
Geospat Health, 8 (2013), pp. 97-110
M.E. Socías, A. Fernández, J.F. Gil, A.J. Krolewiecki.
Geohelmintiasis en la Argentina una revisión sistemática.
Medicina (Buenos Aires), 74 (2014), pp. 29-36
K.S.W. Tan.
New Insights on classification, identification, and clinical relevance of Blastocystis spp.
Clin Microbiol Rev, 21 (2008), pp. 639-665
World Health Organization.
Basic laboratory methods in medical parasitology.
WHO, (1991),
Copyright © 2020. Asociación Argentina de Microbiología
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos