Strengthening the immunization supply chain through EVM assessment: Comparing India's two successive national assessments.

Background: Effective immunization supply chain (iSC) is crucial for safe and timely transport of potent vaccines to the beneficiary. India's iSC, with a network of ~29,000 cold chain points (CCP), measures its quality standards using the World Health Organization-United Nations International Children's Emergency Fund (WHO-UNICEF) global tool on effective vaccine management (EVM). The two national EVM assessments (EVMA) were conducted in 2013 and 2018. This study helps to see the impact of policies and practices through EVMA in maintaining an efficient iSC for effective implementation of immunization program. Materials and Methods: We conducted a desk analysis using EVMA reports to summarize and compare the findings of the two studies. Cut-off of 80% was considered ideal for each category/criteria score. Results: Both EVMA 2013 and 2018 were conducted using Android-based global EVM tool, though across a wider sample of CCP. Maximum and minimum changes in scores were sub-national and lowest distribution (16% each) and national buffer stores (7%), respectively. Maximum and minimum improvements were seen in vaccine management (29%) and MIS and supportive functions (3%), respectively. The improvement was statistically significant for the overall scores (P = 0.02), primary (P = 0.01), subnational (P = 0.02), and lowest distribution stores (P = 0.03). Among the 36 recommendations of 2013 assessment, 78% and 22% were fully and partially implemented (or ongoing), respectively. Conclusion: Implementation of EVM recommendations has significantly led to improvement and continues to provide a benchmark for iSC and its processes. Follow-up assessments every 3-5 years can further help to evaluate iSC and ascertain the impact of recommendations.

Acute diarrheal disease outbreak in Muzaffarpur Village, Chandauli District, Uttar Pradesh, India.

BACKGROUND: Acute diarrheal disease (ADD) outbreaks frequently occur in the Gangetic plains of Uttar Pradesh, India. In August 2017, Muzaffarpur village, Uttar Pradesh, reported an ADD outbreak. OBJECTIVES: Outbreak investigation was conducted to find out the epidemiology and to identify the risk factors. METHODS: A 1:1 area-matched case-control study was conducted. Suspected ADD case was defined as ≥3 loose stools or vomiting within 24 h in a Muzaffarpur resident between August 7 and September 9, 2017. A control was defined as an absence of loose stools and vomiting in a resident between August 7 and September 9, 2017. A matched odds ratio (mOR) with 95% confidence intervals (CIs) was calculated. Drinking water was assessed to test for the presence of any contamination. Stool specimens were tested for Vibrio cholerae, and water samples were also tested for any fecal contamination and residual chlorine. RESULTS: Among 70 cases (female = 60%; median age = 12 years, range = 3 months-70 years), two cases died and 35 cases were hospitalized. Area-A in Muzaffarpur had the highest attack rate (8%). The index case washed soiled clothes at well - A1 1 week before other cases occurred. Among 67 case-control pairs, water consumption from well-A1 (mOR: 43.00; 95% CI: 2.60-709.88) and not washing hands with soap (mOR: 2.87; 95% CI: 1.28-6.42) were associated with illness. All seven stool specimens tested negative for V. cholerae. All six water samples, including one from well-A1, tested positive for fecal contamination with <0.2 ppm of residual chlorine. CONCLUSION: This outbreak was associated with consumption of contaminated well water and hand hygiene. We recommended safe water provision, covering wells, handwashing with soap, access to toilets, and improved laboratory capacity for testing diarrheal pathogens.

Disease surveillance during a large religious mass gathering in India: The Prayagraj Kumbh 2019 experience.

BACKGROUND: Mass gathering (MG) events are associated with public health risks. During the period January 14 to March 4, 2019, Kumbh Mela in Prayagraj, India was attended by an estimated 120 million visitors. An onsite disease surveillance was established to identify and respond to disease outbreaks. METHODS: A health coordination committee was established for planning. Disease surveillance was prioritized and risk assessment was done to identify diseases/conditions based on epidemic potential, severity of illness, and reporting requirement under the International Health Regulations (IHR) of 2005. A daily indicator and event-based disease surveillance was planned. The indicator-based surveillance (IBS) manually and electronically recorded data from patient hospital visits and collected MG area water testing data to assess trends. The event-based surveillance (EBS) helped identify outbreak signals based on pre-identified event triggers from the media, private health facilities, and the food safety department. Epidemic intelligence was used to analyse the data and events to detect signals, verify alerts, and initiate the response. RESULTS: At Kumbh Mela, disease surveillance was established for 22 acute diseases/syndromes. Sixty-five health facilities reported 156 154 illnesses (21% of a total 738 526 hospital encounters). Among the reported illnesses, 95% (n = 148 834) were communicable diseases such as acute respiratory illness (n = 52 504, 5%), acute fever (n = 41 957, 28%), and skin infections (n = 27 094, 18%). The remaining 5% (n = 7300) were non-communicable diseases (injuries n = 6601, 90%; hypothermia n = 224, 3%; burns n = 210, 3%). Water samples tested inadequate for residual chlorine in 20% of samples (102/521). The incident command centre generated 12 early warning signals from IBS and EBS: acute diarrheal disease (n = 8, 66%), vector-borne disease (n = 2, 16%), vaccine-preventable disease (n = 1, 8%), and thermal event (n = 1, 8%). There were two outbreaks (acute gastroenteritis and chickenpox) that were investigated and controlled. CONCLUSIONS: This onsite disease surveillance imparted a public health legacy by successfully implementing an epidemic intelligence enabled system for early disease detection and response to monitor public health risks. Acute respiratory illnesses emerged as a leading cause of morbidity among visitors. Future MG events should include disease surveillance as part of planning and augment capacity for acute respiratory illness diagnosis and management.

A Study of the Patients Suffering from Tuberculosis and Tuberculosis-diabetes Comorbidity in Revised National Tuberculosis Control Program Centers of Northern Madhya Pradesh, India.

BACKGROUND: Diabetes mellitus (DM) is recognized as an important risk factor to tuberculosis (TB). India has high TB burden, along with rising DM prevalence. AIM: This study was conducted to document the coexistence of DM and TB in persons with established TB under the Revised National Tuberculosis Control Program. TYPE OF STUDY: This was a cross-sectional, descriptive observational study conducted at selected Directly Observed Therapy center in Gwalior North Central India. MATERIALS AND METHODS: A total of 550 patients with confirmed diagnosis of TB and on treatment were recruited. The study participants were screened for DM and diagnoses were made on the basis of the World Health Organization criteria. Clinical parameters were compared between persons with DM and those without DM. RESULTS: DM/TB co-morbidity was noted in 85 individuals and these made up 15.4% of the study population. The mean age was higher in DM patients with TB (43.4 ± 15.4 vs. 33.1 ± 16.2 years, P = 0.000); the mean duration of symptoms of TB with DM was more (124 ± 16.4 vs. 107.49 ± 10.3 days). Multinomial logistic regression analysis showed that increasing age, positive family history of diabetes, sedentary occupation, and presence of pulmonary TB were significantly associated with diabetes among TB patients. CONCLUSIONS: Diabetes is an important co-morbid feature to be sought in patients with TB. This study re-echo the need to raise awareness on screening for DM in persons with TB.