UNASSIGNED: Emerging research indicates growing concern over long COVID globally, although there have been limited studies that estimate population burden. We aimed to estimate the burden of long COVID in three districts of Haryana, India, using an opportunity to link a seroprevalence study to follow-up survey of symptoms associated with long COVID.
UNASSIGNED: We used a population-based seroprevalence survey for COVID-19 conducted in September 2021 across Haryana, India. Adults from three purposively selected districts (Rohtak, Gurugram, and Jhajjar) were eligible to participate; 2205 of 3213 consented to participate in a survey on health status. Trained investigators administered a structured questionnaire that included demographic characteristics, self-reported symptoms of illness in the last six months before the survey, mental health, and history of COVID-19.
UNASSIGNED: Unadjusted regression estimates indicated positive correlations between symptomatic complaints and COVID-19 exposure, suggesting lingering effects of COVID-19 in this population. The overall physical morbidity index was higher among those who tested positive for COVID-19, as was the incidence of new cases. However, both morbidity and incidence became statistically insignificant after adjustment for multiple comparisons. Cough emerged as the only statistically significant individual persistent symptom. Sex-stratified analyses indicated significant estimates only for physical morbidity in women.
UNASSIGNED: This study is one of the first from India that uses a large population-based sample to examine longer term repercussions of COVID infections. The burden of long COVID should primarily be addressed in clinical settings, where specialised treatment for individual cases continues to evolve. Our analyses also provide insight into the size and nature of studies required to assess the population-level burden of long COVID.
UNASSIGNED: This paper was produced under the auspices of the Lancet COVID 19 Commission India Task Force, which was supported financially by the Reliance Foundation. The Lancet COVID 19 Commission was set up in July 2020 and submitted its final report by October 2022. This report by the India Task Force was prepared during the same period.

BACKGROUND: Bovine tuberculosis (bTB) is a chronic disease that results from infection with any member of the Mycobacterium tuberculosis complex. Infected animals are typically diagnosed with tuberculin-based intradermal skin tests according to World Organization of Animal Health which are presently in use. However, tuberculin is not suitable for use in BCG-vaccinated animals due to a high rate of false-positive reactions. Peptide-based defined skin test (DST) antigens have been identified using antigens (ESAT-6, CFP-10 and Rv3615c) which are absent from BCG, but their performance in buffaloes remains unknown. To assess the comparative performance of DST with the tuberculin-based single intradermal test (SIT) and the single intradermal comparative cervical test (SICCT), we screened 543 female buffaloes from 49 organized dairy farms in two districts of Haryana state in India.
RESULTS: We found that 37 (7%), 4 (1%) and 18 (3%) buffaloes were reactors with the SIT, SICCT and DST tests, respectively. Of the 37 SIT reactors, four were positive with SICCT and 12 were positive with the DST. The results show that none of the animals tested positive with all three tests, and 6 DST positive animals were SIT negative. Together, a total of 43 animals were reactors with SIT, DST, or both, and the two assays showed moderate agreement (Cohen\'s Kappa 0.41; 95% Confidence Interval (CI): 0.23, 0.59). In contrast, only slight agreement (Cohen\'s Kappa 0.18; 95% CI: 0.02, 0.34) was observed between SIT and SICCT. Using a Bayesian latent class model, we estimated test specificities of 96.5% (95% CI, 92-99%), 99.7% (95% CI: 98-100%) and 99.0% (95% CI: 97-100%) for SIT, SICCT and DST, respectively, but considerably lower sensitivities of 58% (95% CI: 35-87%), 9% (95% CI: 3-21%), and 34% (95% CI: 18-55%) albeit with broad and overlapping credible intervals.
CONCLUSIONS: Taken together, our investigation suggests that DST has a test specificity comparable with SICCT, and sensitivity intermediate between SIT and SICCT for the identification of buffaloes suspected of tuberculosis. Our study highlights an urgent need for future well-powered trials with detailed necropsy, with immunological and microbiological profiling of reactor and non-reactor animals to better define the underlying factors for the large observed discrepancies in assay performance, particularly between SIT and SICCT.

Health systems in developing countries suffers from both input and productivity issues. We examined the status of three domains of human resources for health, i.e., availability and distribution, capacity and productivity, and motivation and job-satisfaction, of the health-care workforce employed in the public health system of Haryana, a North Indian state.
The primary data were collected from 377 public health facilities and 1749 healthcare providers across 21 districts. The secondary data were obtained from government reports in the public domain. Bivariate and multivariate statistical techniques were used for evaluating district performances, making inter-district comparisons and identifying determinants of motivation and job-satisfaction of the clinical cadres.
We found 3.6 core health-care workers (doctors, staff nurses, and auxiliary nurses-midwives) employed in the public health-care system per 10,000 population, ranging from 1.35 in Faridabad district to 6.57 in Panchkula district. Around 78% of the sanctioned positions were occupied. A number of inpatient hospitalizations per doctor/nurses per month were 17 at the community health center level and 29 at the district hospital level; however, significant differences were observed among districts. Motivation levels of community health workers (85%) were higher than clinical workforce (78%), while health system administrators had lowest motivation and job satisfaction levels. Posting at primary healthcare facility, contractual employment, and co-habitation with family at the place of posting were found to be the significant motivating factors.
A revamp of governance strategies is required to improve health-care worker availability and equitable distribution in the public health system to address the observed geographic variations. Efforts are also needed to improve the motivation levels of health system administrators, especially in poorly performing districts and reduce the wide gap with better-off districts.

The aim of the study is to evaluate the suitability of STRs for molecular characterization and forensic applications in unrelated Brahmins of Rajasthan and Haryana states, India.
A total of 203 male DNA samples from various districts of Haryana (n=104) and Rajasthan (n=99) were genotyped using the GlobalFiler® PCR Amplification Kit. Allelic frequencies and different forensic parameters like PD, PE, PIC, PM, Ho, He, UHe, and TPI were calculated with different software.
More than 200 alleles were present in both populations, ranging from 6.0 to 35.2 and SE33 was the most polymorphic marker. The combined power of discrimination was 1. To know the relatedness with other Indian Brahmin populations, the UPGMA dendrogram and principal component analysis plot were visualized to show that both populations are close to each other and in nearby Saraswat Brahmins of Himachal Pradesh. This study showed a genetic relationship and forensic examination in the Haryana and Rajasthan Brahmin populations and various ethno-linguistically diverse populations of India.
The results imply that the highly polymorphic 21 autosomal STR loci might be applied for individuals\' forensic identification and parentage testing. This study also suggests that the kit having both autosomal and Y-STR markers is appropriate for a better understanding of the genetic and forensic examination in the Brahmin population of Haryana and Rajasthan.

The present study, covering a period of 52 years (1966-2017), explores changes in agricultural land use and its consequences on crop productivity, diversity, and food availability in Haryana, an agriculturally developed state of India. The time series data on different parameters (area, production, yield, etc.) were collected from the secondary sources and analyzed with the help of compound annual growth rate, trend tests (simple linear regression and Mann-Kendall), and change point detection tests such as Pettitt, standard normal homogeneity, Buishand range, and Neumann ratio. Apart from above, the relative share of area and yield to total change in output was determined using decomposition analysis. The results revealed that agricultural land use became intensive and underwent significant alteration with multifold shifting in area from coarse cereals (maize, jowar, and bajra) to fine food grains (wheat and rice). The yield of all crops, especially wheat and rice witnessed a significant increase which subsequently led to an upsurge in their production. However, the production of maize, jowar, and pulses recorded negative growth despite of an increase in their yield. The results also revealed manifold increase in use of modern key inputs during the first two periods (1966-1985), but afterwards input use rate slowed down. Additionally, the decomposition analysis revealed that yield effect remained positive in changing the production of all crops, but area contributed positively only in wheat, rice, cotton, and oilseeds. The major findings of this study imply that the production of crops can be enhanced only through improvement in yield because there is no further scope left for horizontal expansion in cultivable area of the state.

This study tries to evaluate the returns to contract farming (CF) in the form of farm efficiency for both contract and non-contract wheat growers in Haryana, North India. Applying the data envelopment analysis and endogenous switching regression model on cross-sectional survey data from 754 wheat farmers, it finds that CF adopters are significantly more efficient than non-adopters. Further, it reveals that farmers who adopt CF would reduce their technical efficiency by 16% if they do not participate in it. But non-adopters would increase their technical efficiency by 12% if they adopt instead. This is attributed to CF provisions of higher quality inputs and improved production technology. However, results also indicate that a small percentage of farmers are dealing with some financial constraints, including delayed payment, high cost of inputs, and lack of timely access to financial assistance. This needs to be addressed adequately in order to enfold the smallholders in the ambit of contracting system.

UNASSIGNED: Out of 931 species of ticks, Rhipicephalus microplus is the most widely studied tick species due to its pivotal role in transmission of babesiosis and anaplasmosis, resulting in huge economic loss in cattle and buffalo\'s industry. Chemical control using deltamethrin forms the mainstay of tick control strategy because of high potency and low toxicity. However, inadvertent use of deltamethrin has led to the development of deltamethrin resistance in field ticks.
UNASSIGNED: The engorged female ticks were collected in a plastic container covered with a cotton plug from 10 places (Jarwa, Barwa, Khajakhera, Banisi, Nakipur, Dhangar, Badopal, Shivalya Dharamshala, Siwani and Meham) of five districts of western Haryana. The Larval Packet Test (LPT) was conducted for the characterization of resistance in field tick.
UNASSIGNED: In the present study, ticks were collected from 10 places from 5 districts of western Haryana and evaluated against deltamethrin using larval packed test. The LC50 values (confidence interval) of ticks larvae against deltamethrin collected from Nakipur, Dhangar, Barwa, Badopal, Shivalya Dharamshala, Siwani, Jarwa, Khajakhera, Meham and Banisi are 73.6 (67.2-81.9), 61.2 (61.6-98.5), 52.7 (14.4-101.0), 140.0 (86.7-448.6), 65.8 (37.1-95.2), 232.1 (201.0-304.7), 3.72 (0.20-9.87), 21.3 (12.0-31.6), 107.6 (96.8-127.6), 54.2 (43.4-58.4) ppm, respectively. The resistance factor ranges from 0.31 to 11.86, indicating variable resistance among field isolates.
UNASSIGNED: Data generated on deltamethrin resistance status in R. microplus from Haryana, India can be used as an indicator for the management of the species in the state.

Zoonotic diseases have huge livestock and public health burden worldwide, including India. Prioritizing zoonotic diseases is one of the important tasks under \'One Health\' as it facilitates effective policy making, proper allocation of resources and promotion of multisectoral collaboration. Although some efforts have been made to prioritizing zoonotic diseases at national level in India, it is important to identify priority diseases in regional settings due to wide variation in climate and demography of different states. Therefore, the present study aims to prioritize zoonotic diseases for the state of Haryana (India). One Health Zoonotic Disease Prioritization (OHZDP) tool was used in this study to prioritize zoonotic diseases. Based on literature review of the past 23 years (2000-2022) on prevalence, morbidity, and mortality of zoonotic diseases, twenty-three high-scoring zoonotic diseases in Haryana and neighboring states of India were initially shortlisted for prioritization. A three-day participatory workshop was conducted involving 17 experts representing the Health, Animal Husbandry and Wildlife departments of Haryana. The Analytical Hierarchy Process (AHP) was used to rank the criteria, which were used to score the selected diseases using the decision tree analysis. The participants selected the following 7 criteria along with their relative weights to score the diseases: (1) Severity of disease in humans, (2) Severity of disease in animals, (3) Presence of disease in the region, (4) Transmission and outbreak potential, (5) Socio-economic impact, (6) Availability of interventions, and (7) Existing inter-sectoral collaboration for surveillance and reporting. The top scoring eight diseases selected as priority zoonotic diseases for Haryana were rabies, Japanese encephalitis, bovine tuberculosis, leptospirosis, avian influenza (H5N1), brucellosis, glanders and Influenza A (H1N1). Sensitivity analysis did not reveal any significant variation in prioritization results by varying criteria weights. This is the first systemic attempt to prioritize zoonotic diseases in the state and this will help in formulating effective monitoring, prevention, and control strategies for zoonotic diseases in the regional settings.

In the present study, principal component analysis (PCA) is used to investigate the processes controlling groundwater salinity in the Mewat (Nuh) district, Haryana, India. Twenty groundwater samples were collected from salinity-affected areas in the March-April months of years 2018 and 2019 and were analyzed for chemical variables pH, EC, Ca2+, Mg2+, Na+, K+, [Formula: see text], Cl-, SO42-, [Formula: see text], TDS, and total hardness. Three principal components were selected based on the eigen value, which explains 79.58% and 85.08% of the total variation in the years 2018 and 2019, respectively. The first principal component (PC-1) is identified with salinity, the second principal component (PC-2) with alkalinity, and the third principal component (PC-3) described the pollution. When the yearly comparison was made, the samples collected in 2019 were found to have an increased salinity compared to 2018, which shows an increased vulnerability to the aquifer of Mewat on account of the decline in rainfall recharge. It was also evident that declining recharge also triggered the recharge from other sources; thus, the impact of pollution is more pronounced in 2019 compared to 2018.

Food adequacy and dietary quality in the lactation period are fundamental for maternal and child health. Lactating mothers are vulnerable to malnutrition because of increased physiological demand, monotonous diet, lactogenesis process, and increased nutrient requirements. The micronutrient adequacy especially among women is not ensured in Indian diet. The dual course of gender bias and poverty, along with lack of knowledge about diet quality are significant impediments in maintaining minimum dietary diversity among Indian women. The study aimed to assess the prevalence of minimum dietary diversity and associated factors among lactating women.
A community-based cross-sectional study was conducted among 1236 lactating women through a multistage sampling procedure in Haryana state, India. Data were collected in Computer-assisted personal interviewing (CAPI) using a pretested structured interview schedule. Minimum Dietary Diversity for Women by Food and Agriculture Organization (FAO) was used to calculate the minimum dietary diversity.
The mean dietary diversity score among lactating women from the ten food groups was 6.35 ± 2.57 and the prevalence of minimum dietary diversity was 77.1%. The complete model revealed that both individual and household factors can explain the variation in dietary diversity intake. Furthermore, the result of model 2 explained that women aged 31 to 35 years (AOR 5.92,95% (1.87-18.77), graduation and above qualified women (AOR 1.98, 95% (0.96-4.09) and lactating women with high knowledge on nutrition (AOR 2.00, 95% (1.34-4.57) were the significant factors promoting minimum dietary diversity.
Three-fourths of the lactating women reached adequate minimum dietary diversity. Younger age, low educational level, and poor nutritional knowledge were significant constraints to achieving minimum dietary diversity. Further improvement in the minimum dietary diversity among lactating women is very much required. It is also advised that exiting platforms dispersing awareness on nutrition should be supported and strengthened.