The Urban Environment and Disparities in Sexual and Reproductive Health Outcomes in the Global South: a Scoping Review.

By 2050, the Global South will contain three-quarters of the world's urban inhabitants, yet no standardized categorizations of urban areas exist. This makes it challenging to compare sub-groups within cities. Sexual and reproductive health and rights (SRHR) are a critical component of ensuring that populations are healthy and productive, yet SRHR outcomes within and across urban settings vary significantly. A scoping review of the literature (2010-2022) was conducted to describe the current body of evidence on SRHR in urban settings in the Global South, understand disparities, and highlight promising approaches to improving urban SRHR outcomes. A total of 115 studies were identified, most from Kenya (30 articles; 26%), Nigeria (15; 13%), and India (16; 14%), focusing on family planning (56; 49%) and HIV/STIs (43; 37%). Findings suggest significant variation in access to services, and challenges such as gender inequality, safety, and precarious circumstances in employment and housing. Many of the studies (n = 84; 80%) focus on individual-level risks and do not consider how neighborhood environments, concentrated poverty, and social exclusion shape behaviors and norms related to SRHR. Research gaps in uniformly categorizing urban areas and key aspects of the urban environment make it challenging to understand the heterogeneity of urban environments, populations, and SRHR outcomes and compare across studies. Findings from this review may inform the development of holistic programs and policies targeting structural barriers to SRHR in urban environments to ensure services are inclusive, equitably available and accessible, and direct future research to fill identified gaps.

Mobility Patterns During COVID-19 Travel Restrictions in Nairobi Urban Informal Settlements: Who Is Leaving Home and Why.

Nairobi's urban slums are ill equipped to prevent spread of the novel coronavirus disease (COVID-19) due to high population density, multigenerational families in poorly ventilated informal housing, and poor sanitation. Physical distancing policies, curfews, and a citywide lockdown were implemented in March and April 2020 resulting in sharp decreases in movement across the city. However, most people cannot afford to stay home completely (e.g., leaving daily to fetch water). If still employed, they may need to travel longer distances for work, potentially exposing them COVID-19 or contributing to its spread. We conducted a household survey across five urban slums to describe factors associated with mobility in the previous 24 h. A total of 1695 adults were interviewed, 63% female. Of these, most reported neighborhood mobility within their informal settlement (54%), 19% stayed home completely, and 27% reported long-distance mobility outside their informal settlement, mainly for work. In adjusted multinomial regression models, women were 58% more likely than men to stay home (relative risk ratio (RRR): 1.58, 95% confidence interval (CI): 1.16, 2.14) and women were 60% less likely than men to report citywide mobility (RRR: 0.40; 95% CI 0.31, 0.52). Individuals in the wealthiest quintile, particularly younger women, were most likely to not leave home at all. Those who reported citywide travel were less likely to have lost employment (RRR: 0.49; 95% CI 0.38, 0.65) and were less likely to avoid public transportation (RRR: 0.30; 95% CI 0.23, 0.39). Employment and job hunting were the main reasons for traveling outside of the slum; less than 20% report other reasons. Our findings suggest that slum residents who retain their employment are traveling larger distances across Nairobi, using public transportation, and are more likely to be male; this travel may put them at higher risk of COVID-19 infection but is necessary to maintain income. Steps to protect workers from COVID-19 both in the workplace and while in transit (including masks, hand sanitizer stations, and reduced capacity on public transportation) are critical as economic insecurity in the city increases due to COVID-19 mitigation measures. Workers must be able to commute and maintain employment to not be driven further into poverty. Additionally, to protect the majority of individuals who are only travelling locally within their settlement, mitigation measures such as making masks and handwashing stations accessible within informal settlements must also be implemented, with special attention to the burden placed on women.

The impact of COVID-19 control measures on social contacts and transmission in Kenyan informal settlements.

BACKGROUND: Many low- and middle-income countries have implemented control measures against coronavirus disease 2019 (COVID-19). However, it is not clear to what extent these measures explain the low numbers of recorded COVID-19 cases and deaths in Africa. One of the main aims of control measures is to reduce respiratory pathogen transmission through direct contact with others. In this study, we collect contact data from residents of informal settlements around Nairobi, Kenya, to assess if control measures have changed contact patterns, and estimate the impact of changes on the basic reproduction number (R0). METHODS: We conducted a social contact survey with 213 residents of five informal settlements around Nairobi in early May 2020, 4 weeks after the Kenyan government introduced enhanced physical distancing measures and a curfew between 7 pm and 5 am. Respondents were asked to report all direct physical and non-physical contacts made the previous day, alongside a questionnaire asking about the social and economic impact of COVID-19 and control measures. We examined contact patterns by demographic factors, including socioeconomic status. We described the impact of COVID-19 and control measures on income and food security. We compared contact patterns during control measures to patterns from non-pandemic periods to estimate the change in R0. RESULTS: We estimate that control measures reduced physical contacts by 62% and non-physical contacts by either 63% or 67%, depending on the pre-COVID-19 comparison matrix used. Masks were worn by at least one person in 92% of contacts. Respondents in the poorest socioeconomic quintile reported 1.5 times more contacts than those in the richest. Eighty-six percent of respondents reported a total or partial loss of income due to COVID-19, and 74% reported eating less or skipping meals due to having too little money for food. CONCLUSION: COVID-19 control measures have had a large impact on direct contacts and therefore transmission, but have also caused considerable economic and food insecurity. Reductions in R0 are consistent with the comparatively low epidemic growth in Kenya and other sub-Saharan African countries that implemented similar, early control measures. However, negative and inequitable impacts on economic and food security may mean control measures are not sustainable in the longer term.

Opportunities and challenges for the introduction of a new female condom among young adults in urban Zambia.

BACKGROUND: Expanding contraceptive method choices for sexually active youth is critical to prevent STIs/HIV and unintended pregnancies. However, preferences and decision making around contraception among young adults are not well understood. A new female condom (FC), the Woman's Condom (WC), features an improved design and is marketed as a premium product at a higher price point. We conducted a qualitative study to examine the underlying knowledge, attitudes, and perceptions around the FC generally, the WC specifically, and to explore the opportunities and challenges of introducing the WC to young adults in urban Zambia. METHODS: Thirty focus group discussions comprised of 245 men and women aged 18-24 years were facilitated by local moderators in Lusaka, Zambia between August and December 2016. Data were analyzed using thematic content analysis using ATLAS.ti (Version 7.5.17). RESULTS: While interest in the newly launched WC was high, few participants recognized it, so discussion was framed around FCs more generally. The decision to use a FC is challenged by misconceptions regarding safety and correct use, cost, and women's limited power over decision making in relationships. Participants also reported low availability of the product. Several opportunities for FC uptake were discussed, including the perception that FCs provide better sensation during intercourse compared with male condoms, and women reported enthusiasm for the opportunity to be the partner responsible for contraception. Some women expressed interest in the WC in order to ensure it was not tampered with by their partner, a practice commonly reported by both genders that reflects high levels of mistrust. CONCLUSIONS: Findings suggest the FC, including the new WC, has potential to increase gender equity by giving women a product they are comfortable buying and being able to control to ensure correct use; however, future programming should address high perceived cost of the WC and women's limited decision making power in relationships. Findings also highlight the need for interventions that include product demonstration and promote the WC as a method that provides better sensation during sex than male condoms. To increase voluntary uptake, the challenges identified here should be incorporated into future social marketing campaigns.

Targeting indoor residual spraying for malaria using epidemiological data: a case study of the Zambia experience.

BACKGROUND: In Zambia and other sub-Saharan African countries affected by ongoing malaria transmission, indoor residual spraying (IRS) for malaria prevention has typically been implemented over large areas, e.g., district-wide, and targeted to peri-urban areas. However, there is a recent shift in some countries, including Zambia, towards the adoption of a more strategic and targeted IRS approach, in coordination with increased emphasis on universal coverage of long-lasting insecticidal nets (LLINs) and effective insecticide resistance management. A true targeted approach would deliver IRS to sub-district areas identified as high-risk, with the goal of maximizing the prevention of malaria cases and deaths. RESULTS: Together with the Government of the Republic of Zambia, a new methodology was developed applying geographic information systems and satellite imagery to support a targeted IRS campaign during the 2014 spray season using health management information system data. DISCUSSION/CONCLUSION: This case study focuses on the developed methodology while also highlighting the significant research gaps which must be filled to guide countries on the most effective strategy for IRS targeting in the context of universal LLIN coverage and evolving insecticide resistance.

Evaluation of the operational challenges in implementing reactive screen-and-treat and implications of reactive case detection strategies for malaria elimination in a region of low transmission in southern Zambia.

BACKGROUND: As malaria transmission declines in many regions of sub-Saharan Africa, interventions to identify the asymptomatic reservoir are being deployed with the goals of improving surveillance and interrupting transmission. Reactive case detection strategies, in which individuals with clinical malaria are followed up at their home and household residents and neighbours are screened and treated for malaria, are increasingly used as part of malaria elimination programmes. METHODS: A reactive screen-and-treat programme was implemented by the National Malaria Control Centre in Southern Province, Zambia, in which individuals residing within 140 m of an index case were screened with a malaria rapid diagnostic test (RDT) and treated if positive. The operational challenges during the early stages of implementing this reactive screen-and-treat programme in the catchment area of Macha Hospital in Southern Province, Zambia were assessed using rural health centre records, ground truth evaluation of community health worker performance, and data from serial cross-sectional surveys. The proportion of individuals infected with Plasmodium falciparum who were identified and treated was estimated by simulating reactive screen-and-treat and focal drug administration cascades. RESULTS: Within the 1st year of implementation, community health workers followed up 32 % of eligible index cases. When index cases were followed up, 66 % of residents were at home in the index households and 58 % in neighbouring households. Forty-one neighbouring households of 26 index households were screened, but only 13 (32 %) were within the 140-m screening radius. The parasite prevalence by RDT was 22 % in index households and 5 % in neighbouring households. In a simulation model with complete follow-up, 22 % of the total infected population would be detected with reactive screen-and-treat but 57 % with reactive focal drug administration. CONCLUSIONS: With limited resources, coverage and diagnostic tools, reactive screen-and-treat will likely not be sufficient to achieve malaria elimination in this setting. However, high coverage with reactive focal drug administration could be efficient at decreasing the reservoir of infection and should be considered as an alternative strategy.

Open-source satellite enumeration to map households: planning and targeting indoor residual spraying for malaria.

BACKGROUND: Defining the number and location of sprayable structures (houses) is foundational to plan and monitor indoor residual spray (IRS) implementation, a primary intervention used to control the transmission of malaria. Only by mapping the location and type of all sprayable structures can IRS operations be planned, estimates of spray coverage determined, and targeted delivery of IRS to specific locations be achieved. Previously, field-based enumeration has been used to guide IRS campaigns, however, this approach is costly, time-consuming and difficult to scale. As a result, field-based enumeration typically fails to map all structures in a given area, making estimations less reliable and reducing the enumerated coverage. METHODS: Using open source satellite imagery and Geographic Information System software, satellite enumeration was conducted to guide IRS operations in 15 districts (91,302 km(2)) in northern Zambia during the 2014 spray season. Cost of satellite enumeration was compared to standard enumeration. Enumerated households were sampled to estimate sprayable surface area and wall type from the satellite enumeration using linear and logistic regression, respectively. RESULTS: In comparison to the traditional field-based enumeration procedure, satellite-based enumeration was 22 times faster, and 10 times less costly. An estimated 98 % of the satellite enumerated buildings correctly classified roof type. Predicted surface area of each household correlated at a value of 0.91 with measured surface area of each household. CONCLUSION: For IRS campaigns, high quality and high coverage enumeration data aid in planning, through informed insecticide procurement. Through the identification of geographical areas and populations to target, enumeration data guide operations and assist monitoring and evaluation of IRS through the unbiased estimation of coverage achieved. Satellite enumeration represents a quick, cheap and accurate system to provide these data, and has potential applications beyond IRS for delivery of other targeted or non-targeted interventions (e.g. net distributions, mass drug administration, immunization campaigns, or even sampling frames for field studies).

Spatial patterns of incident malaria cases and their household contacts in a single clinic catchment area of Chongwe District, Zambia.

BACKGROUND: Reactive case detection (RACD) for malaria is a strategy that may be used to complement passive surveillance, as passive surveillance fails to identify infections that are asymptomatic or do not seek care. The spatial and seasonal patterns of incident (index) cases reported at a single clinic in Chongwe District were explored. METHODS: A RACD strategy was implemented from June 2012 to June 2013 in a single catchment area in Chongwe District. Incident (index) cases recorded at the clinic were followed up at their household, and all household contacts were tested for malaria using rapid diagnostic tests (RDTs). GPS coordinates were taken at each index household. Spatial analyses were conducted to assess characteristics related to clustering, cluster detection and spatial variation in risk of index houses. Effects of season (rainy versus dry), distance to the clinic and distance to the main road were considered as modifying factors. Lastly, logistic regression was used to identify factors associated with the proportion of household contacts testing RDT positive. RESULTS: A total of 426 index households were enrolled, with 1,621 household contacts (45% RDT positive). Two space-time clusters were identified in the rainy season, with ten times and six times higher risk than expected. Significantly increased spatial clustering of index households was found in the rainy season as compared to the dry season (based on K-function methodology). However, no seasonal difference in mapped spatial intensity of index households was identified. Logistic regression analysis identified two main factors associated with a higher proportion of RDT positive household contacts. There was a 41% increased odds of RDT positive household contacts in households where the index case was under 5 years of age [OR = 1.41, 95% confidence intervals (1.15, 1.73)]. For every 500-m increase in distance from the road, there was a 5% increased odds of RDT positive household contacts [OR = 1.05 (1.02, 1.07)], controlling for season. DISCUSSION: Areas of increased report of malaria persist after controlling for distance to the clinic and main road. Clinic-based interventions will miss asymptomatic, non-care seeking infections located farther from the road. RACD may identify additional infections missed at the clinic.

Spatial clustering of measles cases during endemic (1998-2002) and epidemic (2010) periods in Lusaka, Zambia.

BACKGROUND: Measles cases may cluster in densely populated urban centers in sub-Saharan Africa as susceptible individuals share spatially dependent risk factors and may cluster among human immunodeficiency virus (HIV)-infected children despite high vaccination coverage. METHODS: Children hospitalized with measles at the University Teaching Hospital (UTH) in Lusaka, Zambia were enrolled in the study. The township of residence was recorded on the questionnaire and mapped; SaTScan software was used for cluster detection. A spatial-temporal scan statistic was used to investigate clustering of measles in children hospitalized during an endemic period (1998 to 2002) and during the 2010 measles outbreak in Lusaka, Zambia. RESULTS: Three sequential and spatially contiguous clusters of measles cases were identified during the 2010 outbreak but no clustering among HIV-infected children was identified. In contrast, a space-time cluster among HIV-infected children was identified during the endemic period. This cluster occurred prior to the introduction of intensive measles control efforts and during a period between seasonal peaks in measles incidence. CONCLUSIONS: Prediction and early identification of spatial clusters of measles will be critical to achieving measles elimination. HIV infection may contribute to spatial clustering of measles cases in some epidemiological settings.

Deaths among people with hepatitis C in New York City, 2000-2011.

BACKGROUND: Infection with hepatitis C virus (HCV) increases the risk of death from liver and nonliver-related diseases. Coinfection with human immunodeficiency virus (HIV) further increases this risk. METHODS: Surveillance data (2000-2010) and mortality data (2000-2011) maintained by the New York City Department of Health and Mental Hygiene (DOHMH) were deterministically cross-matched. Factors associated with and causes of death among HCV-infected adult decedents were analyzed. RESULTS: Between 2000 and 2011, 13 307 HCV-monoinfected adults died, and 5475 adults coinfected with HCV/HIV died. Decedents with HCV monoinfection were more likely to have died of liver cancer (odds ratio [OR] = 9.2), drug-related causes (OR = 4.3), and cirrhosis (OR = 3.7), compared with persons with neither infection. HCV/HIV-coinfected decedents were more likely to have died of liver cancer (OR = 2.2) and drug-related causes (OR = 3.1), compared with persons with neither infection. Among coinfected decedents, 53.6% of deaths were attributed to HIV/AIDS, and 94% of deaths occurred prematurely (before age 65). Among persons with HCV who died, more than half died within 3 years of an HCV report to DOHMH. CONCLUSIONS: HCV-infected adults were at increased risk of dying and of dying prematurely, particularly from conditions associated with HCV, such as HIV/AIDS or drug use. The short interval between HCV report and death suggests a need for earlier testing and improved treatment.

Matching HIV, tuberculosis, viral hepatitis, and sexually transmitted diseases surveillance data, 2000-2010: identification of infectious disease syndemics in New York City.

CONTEXT: In 2012, the New York City Department of Health and Mental Hygiene matched HIV, tuberculosis, viral hepatitis, and sexually transmitted disease surveillance data to identify the burden of infection with multiple diseases. METHODS: HIV, tuberculosis, hepatitis B, hepatitis C, chlamydia, gonorrhea, and syphilis surveillance data from 2000 to 2010 were matched using a deterministic method. Data on deaths from the Department of Health and Mental Hygiene's Office of Vital Statistics were also matched. RESULTS: The final data set contained 840,248 people; 13% had 2 or more diseases. People with a report of syphilis had the highest proportion of matches with other diseases (64%), followed by gonorrhea (52%), HIV (31%), tuberculosis (23%), hepatitis C (20%), chlamydia (16%), and hepatitis B (11%). CONCLUSIONS: The findings indicate several possible infectious disease syndemics in New York City and highlight the need to integrate surveillance data from different infectious disease programs. Conducting the match brought surveillance programs together to work collaboratively and has resulted in ongoing partnerships on programmatic activities that address multiple diseases.

Measuring social norms related to child marriage among married women and men in Niger.

BACKGROUND: Child marriage remains prevalent in the Sahel region. Pervasive norms regarding child marriage, and sexual behavior persist. We explored norms from multiple perspectives to strengthen interventions aimed at delaying age at marriage. METHODS: This study analyzed a cross-sectional household survey conducted in Niger in 2022 with women aged 15-49 (n = 2,726) and a subset of their male household members aged 15-59 (n = 1,136). Separate logistic regression models assessed factors associated with three descriptive (e.g., perception of what others do) and injunctive (e.g., perception of a group's approval or disapproval) normative outcomes related to practices that support marriage as soon as a girl reaches puberty and beliefs related to premarital sex. RESULTS: Our study found a greater proportion of men described early marriage as protective from the fear of socially induced ruined marital prospects for women (70% vs. 64%), while women expressed its protection from being harassed (62% compared to 42%). The injunctive norm outcome that "my neighbors think that one should marry off one's daughter as soon as she reaches puberty" was significantly associated with the belief that child marriage was protective for females among women (OR = 4.49; 95% CI 3.13. 5.50) and men (OR = 8.21; 95% CI 5.88, 11.45). CONCLUSIONS: Programs addressing child marriage should consider both male and female perspectives to address differences and foster an environment where communities and families shift norms to delay early marriage.

How migration shapes modern contraceptive use among urban young women: Evidence from six African countries.

BACKGROUND: Internal migration is an important part of the transition to adulthood for many young people in sub-Saharan Africa. This study examines how migration, in relation to marriage and parenthood, impacts modern contraceptive use and health facility visits amongst young urban women. METHODS: We draw on Performance Monitoring for Action (PMA) surveys conducted in Burkina Faso, Côte d'Ivoire, Democratic Republic of Congo, Kenya, Nigeria, and Uganda (2019-2022). Our analysis is unique in being able to adjust for whether women wanted to get pregnant soon. Our sample includes women ages 15-24 years currently residing in urban areas (n = 6,225). We conducted logistic regression models clustered by village level identifier to explore the sequence of life events and the timing of migration in relation to current modern contraceptive use and recent health facility visit, a proxy for engagement with formal health services. RESULTS: The timing of migration matters more than the sequence of these life events. Young urban women who experienced both migration and a birth, regardless of the order, had increased contraceptive use and recent health facility visit, compared to women who had only experienced one event or neither. Young women who migrated in the past year had 24% lower odds of using a modern method (Odds Ratio = 0.76; 95% confidence interval 0.63, 0.91), adjusting for demographic factors and adjusting for fertility preference (Wanting to get pregnant soon). Having had a birth was highly significant for health facility visit and among women who had had a birth, those who migrated in the last year had lower odds of a recent visit (OR = 0.68, 95% CI 0.41, 0.89). Results suggest an initially disruptive effect of migration. DISCUSSION: Our results suggest young women who recently migrated to urban areas may need additional support in accessing contraception and formal health services for themselves or their children.

Water and Handwashing in a Drought-Prone Region of Southern Niger: How Environment, Household Infrastructure, and Exposure to Social and Behavior Change Messages Interact.

This study aims to inform multisectoral development programs by exploring the extent to which social and behavior change (SBC) messages, environment, and household infrastructure are associated with knowledge and practice of handwashing behaviors. A cross-sectional survey of 2,708 households in the Maradi and Zinder districts of Niger was collected in April 2021. Household data were integrated with two local environmental measures: 1) water level at the nearest waterhole point, and 2) anomalous rainfall for the previous rainy season derived from climate hazards infrared precipitation with station rainfall (CHIRPS) data. Logistic regression models were constructed to explore how environment, household infrastructure, and exposure to SBC messages were associated with two hygiene-related outcomes: 1) observed water and soap available at household handwashing stations, a behavior, and 2) knowledge of critical moments for handwashing, a behavioral determinant. We find that in households near a water point with higher water depth, households were statistically significantly more likely (odds ratio [OR] = 1.25); (confidence interval [CI] = 1.12-1.49) to have water and soap observed at the handwashing station. Women in households near a water point with increased water depth (more water) were more likely to know three or more critical handwashing moments (OR = 1.07; CI = 1.03-1.11). Exposure to messages about the importance of handwashing was significantly associated with knowledge of critical handwashing moments and having water and soap observed at a handwashing station. Multisectoral programming should consider layering efforts so that development projects that increase access to water sources are complemented with SBC approaches focused on hygiene.

Exploring the urban gradient in population health: insights from satellite-derived urbanicity classes across multiple countries and years in sub-Saharan Africa.

The demographic, ecological and socioeconomic changes associated with urbanisation are linked to changes in disease incidence, health service provision and mortality. These effects are heterogeneous between and within urban areas, yet without a clear definition of what constitutes an 'urban' area, their measurement and comparison are constrained. The definitions used vary between countries and over time hindering analyses of the relationship between urbanisation and health outcomes, evaluation of policy actions and results in uncertainties in estimated differences. While a binary urban-rural designation fails to capture the complexities of the urban-rural continuum, satellite data augmented with models of population density and built-up areas offer an opportunity to develop an objective, comparable and continuous measure which captures urbanisation gradient at high spatial resolution. We examine the urban gradient within the context of population health. We compare the categorisation of urban and rural areas (defined by national statistical offices) used in household surveys in sub-Saharan Africa (SSA) to an urban-rural gradient derived from augmented satellite data within a geospatial framework. Using nine Demographic and Health Surveys (DHS) conducted between 2005 and 2019 in six SSA countries, we then assess the extent of misalignment between urbanicity based on DHS categorisation compared with a satellite-derived measure, while discussing the implications on the coverage of key maternal health indicators. The proposed indicator provides a useful supplement to country-specific urbanicity definitions and reveals new health dynamics along the rural-urban gradient. Satellite-derived urbanicity measures will need frequent updates to align with years when household surveys are conducted.

Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania.

INTRODUCTION: Recent studies suggest that the urban advantage of lower neonatal mortality in urban compared with rural areas may be reversing, but methodological challenges include misclassification of neonatal deaths and stillbirths, and oversimplification of the variation in urban environments. We address these challenges and assess the association between urban residence and neonatal/perinatal mortality in Tanzania. METHODS: The Tanzania Demographic and Health Survey (DHS) 2015-2016 was used to assess birth outcomes for 8915 pregnancies among 6156 women of reproductive age, by urban or rural categorisation in the DHS and based on satellite imagery. The coordinates of 527 DHS clusters were spatially overlaid with the 2015 Global Human Settlement Layer, showing the degree of urbanisation based on built environment and population density. A three-category urbanicity measure (core urban, semi-urban and rural) was defined and compared with the binary DHS measure. Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multilevel multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths. RESULTS: Both neonatal and perinatal mortality rates were highest in core urban and lowest in rural clusters. Bivariate models showed higher odds of neonatal death (OR=1.85; 95% CI 1.12 to 3.08) and perinatal death (OR=1.60; 95% CI 1.12 to 2.30) in core urban compared with rural clusters. In multivariable models, these associations had the same direction and size, but were no longer statistically significant. Travel time to the nearest hospital was not associated with neonatal or perinatal mortality. CONCLUSION: Addressing high rates of neonatal and perinatal mortality in densely populated urban areas is critical for Tanzania to meet national and global reduction targets. Urban populations are diverse, and certain neighbourhoods or subgroups may be disproportionately affected by poor birth outcomes. Research must capture, understand and minimise risks specific to urban settings.

Climate-related experiences and harms in the wake of the COVID-19 pandemic: results from a survey of 152,088 Mexican youth.

The dual crises of COVID-19 and climate change are impacting the lives of adolescents and young people as they transition to adulthood in an uncertain world, yet they are often excluded from research and political discourse. We surveyed young people about their needs and experiences, critical to engaging them and designing effective programs and policies to address these intersecting harms. The 2022 round of a national online survey through the Violence Outcomes in COVID-19 Epoch (VoCes) Study surveyed 152,088 Mexican youth (15-24 years). Logistic regressions were implemented to identify characteristics associated with four climate responses (economic, work-related, receiving government support, or social network support). Overall, 8.1% of participants experienced a recent climate hazard, with major impacts including housing damage from floods, and crop/livestock losses from drought. Participants who experienced a climate hazard were more likely to have experienced a pandemic-related harm, suggesting a dual impact. Poor youth were more likely to report economic losses from both the pandemic and a climate event but least likely to receive government support. Economic effects from the pandemic are exacerbating climate-related harms, unequally threatening the poorest youth. Engaging young people in decision-making and supporting the most vulnerable youth is critical for the next generation to thrive.

Coping with climate change: The role of climate related stressors in affecting the mental health of young people in Mexico.

Young people today are predicted to experience more climate change related stressors and harms than the previous generation, yet they are often excluded from climate research, policy, and advocacy. Increasingly, this exposure is associated with experience of common mental health disorders (CMD). The VoCes-19 study collected surveys from 168,407 young people across Mexico (ages 15-24 years) through an innovative online platform, collecting information on various characteristics including CMD and experience of recent climate harms. Logistic regression models were fit to explore characteristics associated with CMD. Structural equation models were fit to explore pathways between exposure, feeling of concern about climate change, and a sense of agency (meaning the respondent felt they could help address the climate crisis) and how these relate to CMD. Of the respondents, 42% (n = 50,682) were categorized as experiencing CMD, higher among those who experienced a climate stressor (51%, n = 4,808) vs those not experiencing climate stressors (41%, n = 43,872). Adjusting for key demographic characteristics, exposure to any climate event increased the odds of CMD by 50% (Odd Ratio = 1.57; 95% Confidence Interval (CI) 1.49, 1.64), highest for heatwaves. Specific climate impacts such as housing damage, loss of or inability to work, damage to family business, leaving school and physical health affected were adversely related to CMD, though for different climate hazards. More concern and less agency were related to CMD through different pathways, particularly for those exposed to recent events. Future research regarding the cumulative exposures to climate change, not just acute events but as an ongoing crisis, and various pathways that influence the mental health and well-being of young people must be clearly understood to develop programs and policies to protect the next generation.

Exploring COVID-19 vaccine hesitancy and uptake in Nairobi's urban informal settlements: an unsupervised machine learning analysis of a longitudinal prospective cohort study from 2021 to 2022.

OBJECTIVES: To illustrate the utility of unsupervised machine learning compared with traditional methods of analysis by identifying archetypes within the population that may be more or less likely to get the COVID-19 vaccine. DESIGN: A longitudinal prospective cohort study (n=2009 households) with recurring phone surveys from 2020 to 2022 to assess COVID-19 knowledge, attitudes and practices. Vaccine questions were added in 2021 (n=1117) and 2022 (n=1121) rounds. SETTING: Five informal settlements in Nairobi, Kenya. PARTICIPANTS: Individuals from 2009 households included. OUTCOME MEASURES AND ANALYSIS: Respondents were asked about COVID-19 vaccine acceptance (February 2021) and vaccine uptake (March 2022). Three distinct clusters were estimated using K-Means clustering and analysed against vaccine acceptance and vaccine uptake outcomes using regression forest analysis. RESULTS: Despite higher educational attainment and fewer concerns regarding the pandemic, young adults (cluster 3) were less likely to intend to get the vaccine compared with cluster 1 (41.5% vs 55.3%, respectively; p<0.01). Despite believing certain COVID-19 myths, older adults with larger households and more fears regarding economic impacts of the pandemic (cluster 1) were more likely to ultimately to get vaccinated than cluster 3 (78% vs 66.4%; p<0.01), potentially due to employment requirements. Middle-aged women who are married or divorced and reported higher risk of gender-based violence in the home (cluster 2) were more likely than young adults (cluster 3) to report wanting to get the vaccine (50.5% vs 41.5%; p=0.014) but not more likely to have gotten it (69.3% vs 66.4%; p=0.41), indicating potential gaps in access and broader need for social support for this group. CONCLUSIONS: Findings suggest this methodology can be a useful tool to characterise populations, with utility for improving targeted policy, programmes and behavioural messaging to promote uptake of healthy behaviours and ensure equitable distribution of prevention measures.

The impact of natural disasters and epidemics on sexual and reproductive health in low- and middle-income countries: A narrative synthesis.

BACKGROUND: Natural disasters and epidemics can strain already-fragile health systems, diverting resources away from essential sexual and reproductive health (SRH) services, threatening supply chains, and adversely impacting access to health facilities. OBJECTIVE: To describe how natural disasters and epidemics affect multiple dimensions of SRH service delivery and outcomes, and identify potential approaches to facilitate resumption of services. SEARCH STRATEGY: Key words searched in Google Scholar, PubMed, and Scopus. SELECTION CRITERIA: Studies published in English between 2005 and 2020 covering events in low- and middle-income countries. DATA COLLECTION AND ANALYSIS: This review was developed and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2009 checklist. The initial electronic database searching yielded 64 345 studies, but after screening 13 studies were included in the final review. MAIN RESULTS: Across contexts, disruptive events worsened the availability of and women's access to SRH services, contributed to decreased utilization of SRH services, and often resulted in lower use of family planning, particularly methods requiring facility-based interaction. CONCLUSION: SRH in disaster response plans must be prioritized, as women often lose access to these essential services at a time when they are at their most vulnerable. Evidence regarding effective interventions and policies is lacking.