Objectives: During the coronavirus disease 2019 (COVID-19) pandemic, countries around the world framed specific laws and imposed varying degrees of lockdowns to ensure the maintenance of physical distancing. Understanding changes in temporal and spatial mobility patterns may provide insights into the dynamics of this infectious disease. Therefore, we assessed the efficacy of lockdown measures in 16 countries worldwide by analyzing the relationship between community mobility patterns and the doubling time of COVID-19. Methods: We performed a retrospective record-based analysis of population-level data on the doubling time for COVID-19 and community mobility. The doubling time for COVID-19 was calculated based on the laboratory-confirmed cases reported daily over the study period (from February 15 to May 2, 2020). Principal component analysis (PCA) of six mobility pattern-related variables was conducted. To explain the magnitude of the effect of mobility on the doubling time, a finite linear distributed lag model was fitted. The k-means clustering approach was employed to identify countries with similar patterns in the significant co-efficient of the mobility index, with the optimal number of clusters derived using Elbow’s method. Results: The countries analyzed had reduced mobility in commercial and social places. Reduced mobility had a significant and favorable association with the doubling time of COVID-19—specifically, the greater the mobility reduction, the longer the time taken for the COVID-19 cases to double. Conclusions COVID-19 lockdowns achieved the immediate objective of mobility reduction in countries with a high burden of cases.

Objective: Healthcare services using mobile-phone based telemedicine provide simple technology that does not require sophisticated equipment. This study assessed community health workers’ knowledge, attitude, and practice (i.e., their readiness) at the village level for uptake of mobile-phone based telemedicine.Materials and Methods: This cross-sectional study was conducted among 80 community health workers, including Auxiliary Nurse Midwives, Multipurpose Health Workers and Accredited Social Health Activists working in a rural health block of India. A pre-tested, semi-structured, interviewer-assisted, self-administered questionnaire was used to assess their mobile-phone based telemedicine readiness.Results: Sixty (75.0%) health workers owned mobile phones. The median readiness score for mobile-phone based telemedicine was 109.0. The Accredited Social Health Activists showed a better attitude toward mobile-phone based telemedicine than others. There was a significant moderate positive correlation (r=0.67) between knowledge and practice domains. Community health workers who had smartphones showed a significantly better attitude than those who did not.Conclusion: Training programs on telemedicine service delivery, focused on Auxiliary Nurse Midwives/ Multipurpose Health Workers, can improve their attitudes towards telemedicine. A better attitude of the Accredited Social Health Activists must be leveraged to initiate mobile-phone based telemedicine services on a pilot basis initially and later scaled up in other settings.

Objective: Human Immunodeficiency Virus (HIV) Key Populations (KPs) include Female Sex Workers (FSWs), men who have sex with men (MSM), transgender (TG), and transsexual (TS) persons. This study assessed coronavirus disease 2019 (COVID-19) vaccine uptake among KPs for HIV in India, adverse events following immunization (AEFI), and breakthrough infections among the vaccinated.Materials and Methods: This retrospective cohort study was conducted among 421 KPs enrolled in 41 Targeted Intervention (TI) clusters in 31 districts of the Tamil Nadu State Acquired Immunodeficiency Syndrome (AIDS) Control Society (TANSACS), India, from June to September 2022. A semi-structured, bilingual (English and Tamil), interviewer-administered questionnaire was used to collect data on socio-demographic characteristics, vaccination status, AEFIs, and breakthrough infections among the KPs under the TIs.Results: Among the KPs, 45.4% were FSWs, 37.1% were MSM, 16.2% were TG, and 1.4% were TS persons. Among them, 4.3% had HIV, and 2.9% had syphilis or other sexually transmitted infections (STIs). The COVID-19 vaccine uptake rate was 96%. Among the KPs, TG/TS persons had the highest vaccine uptake (98.6%), followed by FSWs (96.3%) and MSM (94.2%). AEFIs were reported by 85.4% of the participants. HIV positive status was significantly associated with the incidence of AEFI. The breakthrough infection rate was 5.4% among the vaccinated participants.Conclusion: The COVID-19 vaccine uptake among HIV KPs was high in Tamil Nadu. AEFIs and breakthrough infections among COVID-19 vaccinated HIV KPs may be low, with mild AEFIs.

Objectives: The most commonly used vaccine in India, Covishield, is a recombinant adenovirus vector vaccine for which safety data in pregnant women are not available. The present study was conducted to assess the uptake of COVID-19 vaccines and monitor adverse events following COVID-19 immunization among pregnant women in northern India.Patients and Methods: A prospective cohort study was conducted among pregnant women registered with the antenatal clinics in Chandigarh Union Territory (U.T.) in northern India. The study included 247 pregnant women and a comparative group of age-matched, non-pregnant women (247) who received the first dose of the COVID-19 vaccine and were followed up by telephone interviews for adverse events following immunization at three time points until 28 days after vaccination. Multivariate regression (logistic and linear) was used for the adjusted analysis, with adverse events following immunization and the duration of adverse events following immunization as the outcomes.Results: The COVID-19 vaccination uptake rate was 66.8% among the pregnant women. The 28-day incidence rate of adverse events following immunization among the pregnant women was 76.5%. The overall 28-day incidence of adverse events following immunization in pregnant women did not differ significantly from that of non-pregnant women (P=0.153).Conclusion: The Covishield vaccine is safe for pregnant women in India. Further follow-up of the cohort for feto-maternal outcomes needs to be conducted with an adequate sample size to confirm the overall safety profile of the vaccine.