An epidemiological study of dengue and its coinfections in Delhi

Savargaonkar, Deepali; Sinha, Swati; Srivastava, Bina; Nagpal, B. N.; Sinha, Abhinav; Shamim, Arshad; Das, Ram; Pande, Veena; Anvikar, Anupkumar R.; Valecha, Neena

doi:10.1016/j.ijid.2018.06.020

Cited by 40 publications

(28 citation statements)

References 22 publications

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“…15,16 Similarly, all the four serotypes were found to be circulating with predominance of DEN-2 along with concurrent infection with multiple serotypes during 2015. 17 In contrast, our study from central Delhi reveals predominance of DEN-3 followed by DEN-1. Thus, clearly demonstrating that the predominant serotypes might vary even within city.…”

Section: Discussioncontrasting

confidence: 80%

Circulating Dengue Serotypes in Central Delhi during 2015 Outbreak

Abhishek

2020

JoARM

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Dengue fever is caused by an arthropod borne dengue virus. Delhi has witnessed various outbreaks in the last two decades. All the four dengue serotypes are being reported to circulate during each outbreak with predominance of one or more. Each year the prevalent circulating serotype changes. This study was planned to identify the predominant circulating dengue serotype during 2015 Delhi outbreak. Material and Methods: Venous blood was collected from the 150 suspected adult patients attending the outdoor department of medicine. Dengue fever was diagnosed using NS-1 antigen ELISA and dengue serotypes were detected using conventional RT-PCR among 15 randomly selected NS-1 antigen positive sera. Result: Out of 150 suspected cases, 44 were positive for dengue NS-1 antigen. RT-PCR among 15 positive sera detected five DEN-1, three DEN-2 and seven DEN-3 serotypes. Conclusion: The prevalent circulating dengue serotype in central Delhi during 2015 outbreak was DEN-3 followed by DEN-1.

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Section: Discussioncontrasting

confidence: 80%

Circulating Dengue Serotypes in Central Delhi during 2015 Outbreak

Abhishek

2020

JoARM

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“…Importantly, the expansion of CHIKV distribution and the establishment of local transmission hotspots in newly colonized areas pose a high risk of co‐infections with other highly prevalent tropical diseases. A number of epidemiological studies have reported co‐infections of CHIKV with pathogens such as Zika virus (ZIKV), dengue virus (DENV), and malaria parasites in humans although the pathological outcomes of these co‐infections have not been clearly defined. Particularly, different clinical reports from African malaria cohorts suggested the presence of CHIKV infections.…”

Section: Co‐infection With Plasmodium Parasites Modulates Chikv Pathomentioning

confidence: 99%

“…Importantly, the expansion of CHIKV distribution and the establishment of local transmission hotspots in newly colonized areas pose a high risk of co-infections with other highly prevalent tropical diseases. A number of epidemiological studies have reported co-infections of CHIKV with pathogens such as Zika virus (ZIKV), dengue virus (DENV), and malaria parasites in humans[76][77][78][79][80][81][82][83][84][85] although the F I G U R E 1 Malaria co-infection impairs CHIKV-specific CD4 + T cell responses in the pLN-footpad axis. In CHIKV-infected mice, virusspecific CD4 + T cells multiply in the popliteal lymph node (pLN) and acquire a Th1 phenotype.…”

mentioning

confidence: 99%

Pathogenic Th1 responses in CHIKV‐induced inflammation and their modulation upon Plasmodium parasites co‐infection

Torres‐Ruesta

Teo

Chan

et al. 2019

Immunological Reviews

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The induction of polyarthritis and polyarthralgia is a hallmark of arthritogenic alphavirus infections, with an exceptionally higher morbidity observed with chikungunya virus (CHIKV). While the mechanisms underlying these incapacitating acute symptoms remain partially understood, the progression to chronic conditions in some cases remains unanswered. The highly pro‐inflammatory nature of alphavirus disease has suggested the involvement of virus‐specific, joint‐infiltrating Th1 cells as one of the main pathogenic mediators of CHIKV‐induced joint pathologies. This review summarizes the role of cell‐mediated immune responses in CHIKV pathogenesis, with a specific focus on pro‐inflammatory Th1 responses in the development of CHIKV joint inflammation. Furthermore, due to the explosive nature of arthritogenic alphavirus outbreaks and their recent expansion across the world, co‐infections with other highly prevalent pathogens such as malaria are likely to occur but the pathological outcomes of such interactions in humans are unknown. This review will also discuss the potential impact of malaria co‐infections on CHIKV pathogenesis and their relevance in alphavirus control programs in endemic areas.

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“…Aedes albopictus and Aedes aegypti are the main DF vectors in Guangzhou [10]. Referring to mosquito breeding and DF transmission, meteorological conditions [11,12] as well as human (demographic structure, population size) [13,14,15] and land-use factors (traffic, standing water) [16,17] have been identified as important factors affecting the transmission of DF disease. For example, mosquito breeding activities are affected by temperature: Aedes albopictus are most active in breeding activities when the temperature is between 26 °C and 30 °C, but the feeding activity of mosquitoes decreases and mortality increases when the temperature is lower than 15 °C or higher than 35 °C [12].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Transmission Patterns and Determinants of Dengue Fever: A Case Study of Guangzhou, China

Chen

Zhao

et al. 2019

IJERPH

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Dengue fever is one of the most common vector-borne diseases in the world and is mainly affected by the interaction of meteorological, human and land-use factors. This study aims to identify the impact of meteorological, human and land-use factors on dengue fever cases, involving the interplay between multiple factors. The analyses identified the statistically significant determinants affecting the transmission of dengue fever, employing cross-correlation analysis and the geo-detector model. This study was conducted in Guangzhou, China, using the data of confirmed cases of dengue fever, daily meteorological records, population density distribution and land-use distribution. The findings highlighted that the dengue fever hotspots were mainly distributed in the old city center of Guangzhou and were significantly shaped by meteorological, land-use and human factors. Meteorological factors including minimum temperature, maximum temperature, atmospheric pressure and relative humidity were correlated with the transmission of dengue fever. Minimum temperature, maximum temperature and relative humidity presented a statistically significant positive correlation with dengue fever cases, while atmospheric pressure presented statistically significant negative correlation. Minimum temperature, maximum temperature, atmospheric pressure and humidity have lag effects on the transmission of dengue fever. The population, community age, subway network density, road network density and ponds presented a statistically significant positive correlation with the number of dengue fever cases, and the interaction among land-use and human factors could enhance dengue fever transmission. The ponds were the most important interaction factors, which might strengthen the influence of other factors on dengue fever transmission. Our findings have implications for pre-emptive dengue fever control.

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An epidemiological study of dengue and its coinfections in Delhi

Cited by 40 publications

References 22 publications

Circulating Dengue Serotypes in Central Delhi during 2015 Outbreak

Circulating Dengue Serotypes in Central Delhi during 2015 Outbreak

Pathogenic Th1 responses in CHIKV‐induced inflammation and their modulation upon Plasmodium parasites co‐infection

Spatiotemporal Transmission Patterns and Determinants of Dengue Fever: A Case Study of Guangzhou, China

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