Socio-ecological predictors of dengue in high incidence area of Delhi, India.

Despite the amplified vector-control measures, sporadic-epidemic outbreaks of dengue incidence occurred in Delhi, intermittently. This study aimed to identify the major individual, household, and community level predictors of dengue cases in the hot-spots of Delhi. Primary survey data was collected from the selected sample of 347 households, at the South- West district of Delhi.

Determinants of malaria prevention and control at household level in Assam: An analysis of data using composite index.

Background: Malaria prevention and control is a major public health problem of tropical countries including India. Usage of insecticide-treated bed nets, and early treatment especially in high-risk areas are the crucial factors for the malaria prevention at household levels. This study aimed to determine the crucial factors associated with malaria prevention at households' level such as household's characteristics, education, knowledge and awareness, insecticide treated bed nets usage, early treatment etc.

Gender-dependent multiple cross-phenotype association of interferon lambda genetic variants with peripheral blood profiles in healthy individuals.

Background: Type III interferons (IFN), also called as lambda IFNs (IFN-λs), are antiviral and immunomodulatory cytokines that are evolutionarily important in humans. Given their central roles in innate immunity, they could be influencing other aspects of human biology. This study aimed to examine the association of genetic variants that control the expression and/or activity of IFN-λ3 and IFN-λ4 with multiple phenotypes in blood profiles of healthy individuals.

A retrospective study of environmental predictors of dengue in Delhi from 2015 to 2018 using the generalized linear model.

Dengue fever is a mosquito-borne infection with a rising trend, expected to increase further with the rise in global temperature. The study aimed to use the environmental and dengue data 2015-2018 to examine the seasonal variation and establish a probabilistic model of environmental predictors of dengue using the generalized linear model (GLM). In Delhi, dengue cases started emerging in the monsoon season, peaked in the post-monsoon, and thereafter, declined in early winter.

Preparedness of primary and secondary health facilities in India to address major noncommunicable diseases: results of a National Noncommunicable Disease Monitoring Survey (NNMS).

Background: The monitoring framework for evaluating health system response to noncommunicable diseases (NCDs) include indicators to assess availability of affordable basic technologies and essential medicines to treat them in both public and private primary care facilities. The Government of India launched the National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular diseases and Stroke (NPCDCS) in 2010 to strengthen health systems. We assessed availability of trained human resources, essential medicines and technologies for diabetes, cardiovascular and chronic respiratory diseases as one of the components of the National Noncommunicable Disease Monitoring Survey (NNMS - 2017-18).

Baseline risk factor prevalence among adolescents aged 15-17 years old: findings from National Non-communicable Disease Monitoring Survey (NNMS) of India.

Objective: To generate national estimates of key non-communicable disease (NCD) risk factors for adolescents (15-17 years) identified in the National NCD Monitoring Framework and, study the knowledge, attitudes and practices towards NCD risk behaviours among school-going adolescents.

Design And Setting: A community-based, national, crosssectional survey conducted during 2017-2018. The survey was coordinated by the Indian Council of Medical Research-National Centre for Disease Informatics and Research with 10 reputed implementing research institutes/organisations across India in urban and rural areas.

Temporal variation and geospatial clustering of dengue in Delhi, India 2015-2018.

Objectives: The study was focused on geographical mapping of dengue cases and also to identify the hotspots or high-risk areas of dengue in Delhi.

Design: A retrospective spatial-temporal (ecological) study. Descriptive analysis was used to know the distribution of dengue cases by age, sex, seasons and districts of Delhi.

Determination of cut-off and correlates of delay in treatment-seeking of febrile illness: a retrospective analysis.

Background: Early diagnosis and treatment of malaria symptoms reduces the risk of severe complication and malaria transmission. However, delay in malaria diagnosis and treatment is a major public health problem in India. The primary aim of the study was to determine cut-off for the delay in seeking treatment of fever, and the secondary aim was to identify the factors associated with delay in malaria-endemic areas of Assam, Northeast India.

Surveillance based estimation of burden of malaria in India, 2015-2016.

Background: India has launched the malaria elimination initiative in February 2016. Studies suggest that estimates of malaria are useful to rationalize interventions and track their impact. Hence, a national study was launched to estimate burden of malaria in India in 2015.

How varying CD4 criteria for treatment initiation was associated with mortality of HIV-patients? A retrospective analysis of electronic health records from Andhra Pradesh, India.

Background: HIV treatment and care services were scaled up in 2007 in India with objective to increase HIV-care coverage. CD4 count based criteria was mainly used for treatment initiation with increasing threshold in later years. Therefore, this paper aimed to evaluate the survival by varying CD4 criteria for antiretroviral treatment (ART) initiation among of HIV-positive patients, and independent factors associated with the mortality.

Association of religion and cultural tradition with alcohol use among some tribal communities of Arunachal Pradesh, India.

Arunachal Pradesh, a land of high mountains and dense forest, is home to many tribal communities, which comprise two thirds of the state's population. Alcohol is one of the common addictive substances used traditionally among them despite much awareness about its harmful effect on health. The present study is focused on finding the association of religion, ethnicity, and demographic characteristics with alcohol use among some tribal communities in Changlang district of Arunachal Pradesh.

Risk of malaria among febrile patients: retrospective analysis of a hospital-based study in an endemic area of northeast India.

Background: Febrile illness is the most common symptom experienced by patients suspected of having malaria, especially in the malaria endemic areas of northeast India. Hospital-based data from two districts of upper Assam, namely Golaghat and Tinsukia, were analysed to assess the prevalence of malaria among inpatients who reported to health centres with febrile illness.

Methods: A total of 16 hospitals were selected for the study.

Correlates of opium use: retrospective analysis of a survey of tribal communities in Arunachal Pradesh, India.

Background: Household survey data of Changlang district, Arunachal Pradesh, were used in the present study to assess the prevalence of opium use among different tribes, and to examine the association between sociodemographic factors and opium use.

Methods: A sample of 3421 individuals (1795 men and 1626 women) aged 15 years and older was analyzed using a multivariate logistic regression model to determine factors associated with opium use. Sociodemographic information such as age, education, occupation, religion, ethnicity and marital status were included in the analysis.

Treatment-seeking for febrile illness in north-east India: an epidemiological study in the malaria endemic zone.

Background: This paper studies the determinants of utilization of health care services, especially for treatment of febrile illness in the malaria endemic area of north-east India.

Methods: An area served by two districts of Upper Assam representing people living in malaria endemic area was selected for household survey. A sample of 1,989 households, in which at least one member of household suffered from febrile illness during last three months and received treatment from health service providers, were selected randomly and interviewed by using the structured questionnaire.