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Cases of dengue fever (DF) and hemorrhagic dengue fever (HDF) according to epidemiological week 2009 and 2010 (Dirección General de Epidemiología).
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Background. Dengue is a public health priority in Mexico. Since 2008, the dengue diagnostic algorithm for epidemiological and virological surveillance has been improved at InDRE and the public health laboratory network (RLESP) to optimize geographic representation, opportunity, sensitivity and specificity of the produced information. Methods. Dengu...
Context in source publication
Context 1
... 2009, almost a quarter of a million probable cases were reported to the epidemiological surveillance system. In 2010 there were 127,840 probable cases, a decrease from the previ- ous year ( Figure 6). In the 2 years analyzed it was noted that the increase in cases from epidemiological week 31 decreased at week 45. ...
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Citations
... Another is that there is an increase in reporting of confirmed dengue cases, which has also been the case in areas such as the Americas from 2000 to 2010 (Guzman et al., 2013). The data identified 2009 and 2011 as epidemic years (Dick et al., 2012;Liao et al., 2015;Vázquez-Pichardo et al., 2011). Serotypes circulating in the years of 2009 and 2011 might have influenced these epidemics (Garcia-Rejon et al., 2011;Sanchez-Casas et al., 2013;VázquezPichardo et al., 2011). ...
Accurately predicting vector-borne diseases, such as dengue fever, is essential for communities worldwide. Changes in environmental parameters such as precipitation, air temperature, and humidity are known to influence dengue fever dynamics. Furthermore, previous studies have shown how oceanographic variables, such as El Niño Southern Oscillation (ENSO)-related sea surface temperature from the Pacific Ocean, influences dengue fever in the Americas. However, literature is lacking on the use of regional-scale satellite-derived sea surface temperature (SST) to assess its relationship with dengue fever in coastal areas. Data on confirmed dengue cases, demographics, precipitation, and air temperature were collected. Incidence of weekly dengue cases was examined. Stepwise multiple regression analyses (AIC model selection) were used to assess which environmental variables best explained increased dengue incidence rates. SST, minimum air temperature, precipitation, and humidity substantially explained 42% of the observed variation (r² = 0.42). Infectious diseases are characterized by the influence of past cases on current cases and results show that previous dengue cases alone explained 89% of the variation. Ordinary least-squares analyses showed a positive trend of 0.20 ± 0.03 °C in SST from 2006–2015. An important element of this study is to help develop strategic recommendations for public health officials in Mexico by providing a simple early warning capability for dengue incidence.
... DENV serotype distribution. All four DENV serotypes have been shown to circulate in Mexico at different times ( Figure 4) [16,20,26], creating epidemic, endemic, and hyperendemic scenarios. According to a study by Falcón-Lezama et al., DENV-2 was the predominant serotype from 2000 until 2005, and DENV-1 became predominant in 2006 [16], although Rivera Osorio reported that DENV-3 was the most commonly isolated serotype in 2006 [32]. ...
... According to a study by Falcón-Lezama et al., DENV-2 was the predominant serotype from 2000 until 2005, and DENV-1 became predominant in 2006 [16], although Rivera Osorio reported that DENV-3 was the most commonly isolated serotype in 2006 [32]. Vázquez-Pichardo et al. reported serotype data gathered by Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) following the introduction of a new diagnostic algorithm with improved dengue serotype identification in 2008 [26]. Data for 2009 and 2010 show the continued predominance of DENV-1 (83% in both of these years), with DENV-2 representing most of the remaining cases (17% in 2009 and 16% in 2010). ...
... Data for 2009 and 2010 show the continued predominance of DENV-1 (83% in both of these years), with DENV-2 representing most of the remaining cases (17% in 2009 and 16% in 2010). The percentage of DENV-4 isolates was less than 1% in 2009 and 2010 [26]. For the period 1995-2003, Navarette-Espinosa et al. reported that 9% of isolates were DENV-1, 60% were DENV-2, and 31% were DENV-3 (there were no DENV-4 isolates) [33]. ...
Author Summary
Dengue disease is a tropical and subtropical mosquito-borne viral illness, and is a major public health concern in all endemic countries. Our aim was to determine the impact of dengue disease on the Mexican population over time, and to identify future research priorities and challenges of the surveillance system. To do this, we conducted a systematic literature review to describe the knowledge and gaps in the epidemiology of dengue disease. We used well-defined methods to search and identify relevant epidemiologic research conducted in Mexico between 2000 and 2011. This long-term review highlights an increase in the incidence of dengue disease—as well as in the number of severe cases and deaths in Mexico. Gaps in epidemiological knowledge regarding local serotype distribution, genotype evolution, age-stratified incidence and prevalence, hospitalization rates, underreporting rates as well as primary and secondary infections of dengue provide several avenues for future research. Improved epidemiological data from enhanced surveillance strategies (such as incorporating sentinel sites, more private health units, and information technologies) are required to enable evaluation of disease prevention and management interventions.
La obra El cambio epistemológico en tres funcionarios públicos de la Cuarta Transformación Nacional (4T), presenta los resultados de la primera fase de la investigación sobre el giro epistemológio en la administración pública y de la ciencia en México. Sus autores, retoman de forma diagnóstica la actuación pública de María Elena Álvarez-Buylla Roces —actual directora del Consejo Nacional de Ciencia y Tecnología (CONACyT) en México—, Hugo López Gatell-Ramírez —subsecretario de Prevención y Promoción de la Salud, en la Secretaría de Salud de México— y Víctor Manuel Toledo, quien fue secretario de Medio Ambiente y Recursos Naturales del Gobierno de México hasta el 31 de agosto de 2020.
En el conjunto se muestra el proceso de la investigación, desde su filiación epistemológica, hasta las minucias de su diseño e implementación, para llegar a explicar la forma en que se ha iniciado la transición desde la ciencia neoliberal –característica de los gobiernos anteriores a la 4T– y, la “ciencia nueva”, que se produce desde condiciones éticas, antropológicas, epistemológicas y filosóficas que se explican desde la Nueva Epistemología Analógica y la Hermenéutica Analógica. Sin duda este libro resulta fundamental por su coadyuvancia en la consolidación del “humanismo mexicano”anunciado recientemente (2022) por el presidente Andrés Manuel López Obrador.
Background:
Dengue manifestations can range from subclinical to fatal. The study of factors that influence dengue's clinical severity can provide information to potentially limit or predict severe cases. Secondary infection (SI) with a different dengue serotype has been recognized as an important determinant of severity. However, severe dengue (SD) manifestations, including shock, can happen during primary infection (PI) too and the mechanisms involved are less understood. To characterize the severe manifestations associated to PI, we distinguished between primary and secondary dengue cases in hospitalized patients from a region of low and recent dengue incidence in central Mexico. This region can serve as a model for dengue's behavior as it spreads to new areas worldwide.
Methods:
Dengue-specific immunoglobulin M (IgM) and IgG concentrations were measured in the serum of 78 hospitalized patients with dengue hemorrhagic fever, and their ratios were used to discriminate between PI and SI, as recommended by World Health Organization. Clinical and laboratory manifestations were compared between PI and SI.
Results and Conclusions:
PI was detected in 23% of hospitalized dengue cases, a proportion similar to that reported in high-incidence regions in Mexico. PI was more frequent in 16- to 40-year-olds, and was absent in patients older than 60 years. Only dengue with warning signs and SD were present in the studied population of hospitalized patients, and case frequency decreased with clinical severity both in PI and SI groups. No significant differences in demographics, laboratory tests, or symptoms were found between PI and SI, which illustrates that cases requiring hospitalization during outbreaks can be severe, even if they are PI. This information can help plan for sanitary contingencies in places where dengue is recently emergent and numerous PI cases are expected. The mechanisms involved in PI clinical severity need to be studied further.
