In the early months of the pandemic, most reported cases and deaths due to COVID-19 occurred in high-income countries. However, insufficient testing could have led to an underestimation of true infections in many low- and middle-income countries. As confirmed cases increase, the ultimate impact of the pandemic on individuals and communities in low- and middle-income countries is uncertain. We therefore propose research in three broad areas as urgently needed to inform responses in low- and middle-income countries: transmission patterns of SARS-CoV-2, the clinical characteristics of the disease, and the impact of pandemic prevention and response measures. Answering these questions will require a multidisciplinary approach led by local investigators and in some cases additional resources. Targeted research activities should be done to help mitigate the potential burden of COVID-19 in low- and middle-income countries without diverting the limited human resources, funding, or medical supplies from response activities.

An estimated 215,000 children died of rotavirus infections in 2013, accounting for 37% of diarrhea-related deaths worldwide, 92% of which occurred in low and lower-middle income countries. Since 2009 the World Health Organization (WHO) recommends the use of rotavirus vaccines in all national immunization programs. This review compares rotavirus vaccine (RV) introductions and vaccine coverage by region, country income status and Gavi-eligibility from 2006–2016. Gross National Income data from the World Bank and surviving infant population from United Nations Population Division was obtained for 2016. Data from WHO were collected on rotavirus vaccine coverage, national immunization schedules, and new vaccine introductions for 2016 while estimated rotavirus deaths were collected for 2013, the last year of available WHO data. As of December 2016, the majority of countries (57%, 110/194) had not introduced universal rotavirus vaccine despite WHO's 2009 recommendation to do so. Countries in the WHO African region had the greatest proportion of introductions (37%, 31/84) by December 2016 and a great majority of these (77%, 24/31) were supported by new vaccine introduction (NVI) grants from Gavi. Almost half (48%) of global introductions were in low and lower-middle income Gavi-eligible and Gavi-graduating countries. Conversely, countries in the Southeast Asia WHO region and those not eligible for Gavi NVI support have been slow to introduce rotavirus vaccine. High-income countries, on average, had poorer rotavirus vaccine coverage compared to low and lower-middle income countries. The over-representation of African countries within the Gavi subset and high estimated rotavirus deaths in these African countries, likely explains why introduction efforts have been focused in this region. While much progress has been made with the integration and implementation of rotavirus vaccine into national immunization programs, 110 countries representing 69% of the global birth cohort had yet to introduce the vaccine by December 2016.

India accounts for a disproportionate burden of global childhood illnesses. To inform policies and measure progress towards achieving child health targets, we estimated the annual national and state-specific childhood mortality and morbidity attributable to Streptococcus pneumoniae and Haemophilus influenzae type b (Hib) between 2000 and 2015. In this modelling study, we used vaccine clinical trial data to estimate the proportion of pneumonia deaths attributable to pneumococcus and Hib. The proportion of meningitis deaths attributable to each pathogen was derived from pathogen-specific meningitis case fatality and bacterial meningitis case data from surveillance studies. We applied these proportions to modelled state-specific pneumonia and meningitis deaths from 2000 to 2015 prepared by the WHO Maternal and Child Epidemiology Estimation collaboration (WHO/MCEE) on the basis of verbal autopsy studies from India. The burden of clinical and severe pneumonia cases attributable to pneumococcus and Hib was ascertained with vaccine clinical trial data and state-specific all-cause pneumonia case estimates prepared by WHO/MCEE by use of risk factor prevalence data from India. Pathogen-specific meningitis cases were derived from state-level modelled pathogen-specific meningitis deaths and state-level meningitis case fatality estimates. Pneumococcal and Hib morbidity due to non-pneumonia, non-meningitis (NPNM) invasive syndromes were derived by applying the ratio of pathogen-specific NPNM cases to pathogen-specific meningitis cases to the state-level pathogen-specific meningitis cases. Mortality due to pathogen-specific NPNM was calculated with the ratio of pneumococcal and Hib meningitis case fatality to pneumococcal and Hib meningitis NPNM case fatality. Census data from India provided the population at risk. Between 2000 and 2015, estimates of pneumococcal deaths in Indian children aged 1-59 months fell from 166 000 (uncertainty range [UR] 110 000-198 000) to 68 700 (44 600-86 000), while Hib deaths fell from 82 600 (52 300-112 000) to 15 600 (9800-21 500), representing a 58% (UR 22-78) decline in pneumococcal deaths and an 81% (59-91) decline in Hib deaths. In 2015, national mortality rates in children aged 1-59 months were 56 (UR 37-71) per 100 000 for pneumococcal infection and 13 (UR 8-18) per 100 000 for Hib. Uttar Pradesh (18 900 [UR 12 300-23 600]) and Bihar (8600 [5600-10 700]) had the highest numbers of pneumococcal deaths in 2015. Uttar Pradesh (9300 [UR 5900-12 700]) and Odisha (1100 [700-1500]) had the highest numbers of Hib deaths in 2015. Less conservative assumptions related to the proportion of pneumonia deaths attributable to pneumococcus indicate that as many as 118 000 (UR 69 000-140 000) total pneumococcal deaths could have occurred in 2015 in India. Pneumococcal and Hib mortality have declined in children aged 1-59 months in India since 2000, even before nationwide implementation of conjugate vaccines. Introduction of the Hib vaccine in several states corresponded with a more rapid reduction in morbidity and mortality associated with Hib infection. Rapid scale-up and widespread use of the pneumococcal conjugate vaccine and sustained use of the Hib vaccine could help accelerate achievement of child survival targets in India. Bill & Melinda Gates Foundation.

The absolute number of pneumonia deaths in India has declined substantially since 2000. However, pneumonia remains a major cause of morbidity in children in the country. We used a risk factor-based model to estimate pneumonia and severe pneumonia morbidity in Indian states in 2000 and 2015. In this modelling study, we estimated the burden of pneumonia and severe pneumonia in children younger than 5 years using a risk factor-based model. We did a systematic literature review to identify published data on the incidence of pneumonia from community-based longitudinal studies and calculated summary estimates. We estimated state-specific incidence rates for WHO-defined clinical pneumonia between 2000 and 2015 using Poisson regression and the prevalence of risk factors in each state was obtained from National Family Health Surveys. From clinical pneumonia studies, we identified studies reporting the proportion of clinical pneumonia cases with lower chest wall indrawing to estimate WHO-defined severe pneumonia cases. We used the estimate of the proportion of cases with lower chest wall indrawing to estimate WHO-defined severe pneumonia cases for each state. Between 2000 and 2015, the estimated number of pneumonia cases in Indian HIV-uninfected children younger than 5 years decreased from 83·8 million cases (95% uncertainty interval [UI] 14·0–300·8) to 49·8 million cases (9·1–174·2), representing a 41% reduction in pneumonia cases. The incidence of pneumonia in children younger than 5 years in India was 657 cases per 1000 children (95% UI 110–2357) in 2000 and 403 cases per 1000 children (74–1408) in 2015. The estimated national pneumonia case fatality rate in 2015 was 0·38% (95% UI 0·11–2·10). In 2015, the estimated number of severe pneumonia cases was 8·4 million (95% UI 1·2–31·7), with an incidence of 68 cases per 1000 children (9–257) and a case fatality ratio of 2·26% (0·60–16·30). In 2015, the estimated number of pneumonia cases in HIV-uninfected children was highest in Uttar Pradesh (12·4 million [95% UI 2·1–45·0]), Bihar (7·3 million [1·3–26·1]), and Madhya Pradesh (4·6 million [0·7–17·0]). Between 2000 and 2015, the greatest reduction in pneumonia cases was observed in Kerala (82% reduction). In 2015, pneumonia incidence was greater than 500 cases per 1000 children in two states: Uttar Pradesh (565 cases per 1000 children [95% UI 94–2047]) and Madhya Pradesh (563 cases per 1000 children [88–2084]). The estimated number of pneumonia and severe pneumonia cases among children younger than 5 years in India decreased between 2000 and 2015. Improvements in socioeconomic indicators and specific government initiatives are likely to have contributed to declines in the prevalence of pneumonia risk factors in many states. However, pneumonia incidence in many states remains high. The introduction of new vaccines that target pneumonia pathogens and reduce risk factors will help further reduce the burden of pneumonia in the country. Bill & Melinda Gates Foundation.

Introduction: Few studies have described the drivers of vaccine hesitancy and acceptance in India from the perspective of those involved in the design and implementation of vaccine campaigns–such as government officials and civil society stakeholders–a prerequisite to developing approaches to address this barrier to high immunization coverage and further child health improvements. Methods: We conducted a qualitative study to understand government officials and civil society stakeholders’ perceptions of the drivers of vaccine hesitancy in India. We conducted in-depth phone interviews using a structured guide of open-ended questions with 21 participants from international and national non-governmental organizations, professional associations, and universities, and state and national government–six national-level stakeholders in New Delhi, six state-level stakeholders in Uttar Pradesh, six in Kerala, and three in Gujarat–from July 2020 to October 2020. We analyzed data through a multi-stage process following Grounded Theory. We present findings on individual-level, contextual, and vaccine/vaccination program-specific factors influencing vaccine hesitancy. Results: We identified multiple drivers and complex ways they influence vaccine beliefs, attitudes, and behaviors from the perspective of government officials and civil society stakeholders involved in vaccine campaigns. Important individual-level influences were low awareness of the benefits of vaccination, safety concerns, especially related to mild adverse events following immunization, and mistrust in government and health service quality. Contextual-level factors included communications, the media environment, and social media, which serves as a major conduit of misinformation and driver of hesitancy, as well as sociodemographic factors–specific drivers varied widely by income, education, urban/rural setting, and across religious and cultural groups. Among vaccine/vaccination-level issues, vaccine program design and delivery and the role of health care professionals emerged as the strongest determinants of hesitancy. Conclusions: Drivers of vaccine hesitancy in India, as elsewhere, vary widely by local context; successful interventions should address individual, contextual, and vaccine-specific factors. While previous studies focused on individual-level factors, our study demonstrates the equal importance of contextual and vaccine-specific influences, especially the communication and media environment, influential leaders, sociodemographic factors, and frontline health workers.

Objectives: The purpose of this study was to identify predictors of COVID-19 vaccine intention among Bangladeshi adults. Methods: Secondary data from the COVID-19 Beliefs, Behaviors & Norms Survey conducted by the Massachusetts Institute of Technology (MIT) and Facebook were analyzed. Data were collected from 2,669 adult Facebook users in Bangladesh and was collected between February 15 and February 28, 2021. Binomial logistic regression examined the relationship between COVID-19 vaccination intent and demographic variables, risk perception, preventive behaviors, COVID-19 knowledge, and likelihood of future actions. Results: Seventy-nine percent of respondents reported intent to get the COVID-19 vaccine when it becomes available. Intent to get vaccinated was highest among females, adults aged 71–80, individuals with college or graduate-level degrees, city dwellers, and individuals who perceived that they were in excellent health. Results of the binomial logistic regression indicated that predictors of vaccination intent include age (OR = 1.39), high risk perception of COVID-19 (OR = 1.47), and intent to practice social distancing (OR = 1.22). Discussion: Findings suggest that age, perceived COVID-19 risk, and non-pharmaceutical COVID-19 interventions may predict COVID-19 vaccination intent among Bangladeshi adults. Findings can be used to create targeted messaging to increase demand for and uptake of COVID-19 vaccines in Bangladesh.