Spatiotemporal heterogeneity and determinants of canine rabies evidence at Local Government Area Level in Nigeria: Implications for rabies prevention and control

Canine rabies poses a significant risk to humans and animals in Nigeria. However, the lack of reliable tools to evaluate the performance of existing canine rabies control programs to inform public health policy decisions poses a severe obstacle. We obtained canine rabies surveillance data from the National Veterinary Research Institute (NVRI) and supplemented these data with rabies diagnoses reported in the published studies from Nigeria. To uncover contextual factors (i.e., environmental and sociodemographic) associated with canine rabies evidence at the Local Government Area (LGA) level, we classified LGAs in Nigeria into four categories based on evidence availability (i.e., LGAs with NVRI data or published studies, both, or no evidence). We described the geographical and temporal variation in coverage. We fitted a multinomial regression model to examine the association between LGA level canine rabies evidence and potential sociodemographic and ecological determinants of canine rabies evidence. The effective annual testing during the 19 years was less than one dog/100,000 Nigerian resident-year. Our results showed that 58% of Nigerian LGAs (450/774) had not been targeted by the existing national rabies surveillance or studies on rabies, including ten states capitals with high human populations. While 16% (122/774) of Nigerian LGAs concentrated in Taraba, Adamawa, and Abia had canine rabies evidence from published studies, none of these LGAs was represented in the NVRI rabies surveillance data. We also observed an increasing trend in rabies evidence over time towards the eastern part of Nigeria. Our multinomial regression model indicated that education level, poverty, population density, land use and temperature were significantly associated with canine rabies evidence at the LGA level. This study underscores the value of combining canine rabies evidence from different sources to better understand the current disease situation for targeted intervention. Highlights • This study shows the value of combining different evidence sources to advocate for public health interventions.• Educational level, poverty, population density, land use and temperature were determinants of evidence of canine rabies.• Such evidence demonstrates the need to expand Nigeria's rabies laboratory-based surveillance to support rabies prevention.

Community Antibiotic Use at the Population Level During the SARS-CoV-2 Pandemic in British Columbia, Canada.

BACKGROUND: The objective of this study was to examine the aggregate rates of antibiotic use at the population level and compare these rates over time against historical averages to identify the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting control measures on community prescribing. METHODS: We collected antibiotic prescriptions and physician office visits from January 1, 2016, to July 21, 2020. We calculated monthly prescription rates stratified by sex, age group, profession, diagnosis type, and antibiotic class. We looked at monthly prescription rate as a moving average over time. Using the interrupted time series analysis method, we estimated the changes in prescription rates after March 2020. RESULTS: The moving average of overall monthly prescription rates during January-June 2020 was below the minimum of the historical years' moving averages (2016-2019). We observed a >30% reduction in overall monthly prescription rates in April, May, and July of 2020 compared with the same months of 2019. We observed that overall monthly prescription rates experienced a significant level change of -12.79 (P < .001) during the coronavirus disease 2019 pandemic after March 2020, with the greatest level change being -18.02 among children 1-4 years of age (P < .001). We estimated an average -5.94 (P < .001) change in respiratory tract infection (RTI)-associated monthly prescription rates after March 2020. Overall prescription rates comparing January-July 2019 and their 2020 counterparts showed a decrease in monthly prescribing ranging from -1 to -5 for amoxicillin, amoxicillin and enzyme inhibitors, azithromycin, clarithromycin, and sulfamethoxazole. CONCLUSIONS: In British Columbia, Canada, overall and RTI-specific monthly antibiotic prescription rates declined significantly during April-July 2020 compared with the same months in prepandemic years.

Global Variation in Hand Hygiene Practices Among Adolescents: The Role of Family and School-Level Factors.

While appropriate hand hygiene practices (HHP) are protective against infections, the paucity of evidence on global estimates and determinants of HHP in adolescents limits effective design and planning of intervention to improve HHP in young people. We examined the prevalence and correlates of HHP in adolescents. We used nationally representative data from the Global School-based Student Health Survey (2003-2017) from 92 countries. HHP were categorized as "appropriate", "inappropriate" and "lacking" based on the information about "hand washing before eating", "hand washing after using the toilet", and "hand washing with soap". Multinomial logistic regression analyses were used to assess the role of socio-demographic, health, lifestyle, school, and family-related variables in HHP. Among 354,422 adolescents (13-17 years), only 30.3% were found to practice appropriate hand hygiene. Multivariable models suggest that sedentary behavior (adjusted relative risk ratio (ARRR) 1.41, 95% CI 1.31-1.51)), and bullying victimization (ARRR 1.20, 95% CI 1.10-1.30) promoted inappropriate HHP. In contrast, parental supervision (ARRR 0.55, 95% CI 0.50-0.59) and parental bonding (ARRR 0.81, 95% CI 0.75-0.87) were protective against inappropriate HHP. From a policy perspective, hand hygiene promotion policies and programs should focus on both school (bullying, exercise) and family-level factors (parental supervision and parental bonding) factors.

Shift work is associated with increased risk of COVID-19: Findings from the UK Biobank cohort.

Despite the strong evidence on circadian rhythm disruption in shift workers and consequent increased vulnerability for infection, longitudinal association between shift work and COVID-19 infection is unexplored. In this study, data from UK Biobank participants who were tested for COVID-19 infection (16 March to 7 September 2020) were used to explore the link between shift work and COVID-19 infection. Using the baseline occupational information, participants were categorised as non-shift workers, day shift workers, mixed shift workers and night shift workers. Multivariable regression models were used to assess the association between shift work and COVID-19 infection. Among the 18,221 participants (9.4% positive cases), 11.2% were health workers, and 16.4% were involved in shift-work-based jobs. Ethnic minorities (18%) and people in night-shift-based jobs (18.1%) had a significantly higher prevalence of COVID-19 infection than others. Adjusted logistics regression model suggest that, compared with their counterparts, people employed in a night-shift-based job were 1.85-fold (95% CI: 1.42-2.41) more likely to have COVID-19 infection. Sensitivity analysis focusing on people working in a non-healthcare setting suggests that people in shift-work-based jobs had 1.81-fold (95% CI: 1.04%-3.18%) higher odds of COVID-19 infection than their counterparts. Shift workers, particularly night shift workers, irrespective of their occupational group, seem to be at high risk of COVID-19 infection. If similar results are obtained from other studies, then it would mandate to revisit the criteria for defining high-risk groups for COVID-19 and implementing appropriate interventions to protect people in shift-based jobs.