While millions of deaths are recorded from COVID-19 pandemic infection, the environment continues to benefits from the lockdown of cities. A descriptive cross-sectional survey aimed at assessing residents' knowledge and perception concerning air pollution and breathing experience in Port Harcourt was carried out within 20th-28th of May, 2020. Convenience and purposive non-randomized sampling methods were used to recruit 358 participants. Using descriptive and chi square test analysis, majority (74% and 24%) of the respondents were very aware or aware of air pollution and its health consequences. This varied significantly with sex, age, marital status, occupation and location (p < 0.05). Before the city's lockdown, 90.1% of respondents experienced particulate matter deposits on surfaces and during the lockdown; it reduces to 54.1% with significant difference (p < 0.05) across residential areas. Hence, age, sex, marital status, occupation and residential area likely to influence higher awareness of air pollution and not duration of stay. Also, significant difference in breathing experiences (p < 0.05) was noted, with majority reporting poor breathing experience before lockdown and good during the lockdown. Joint action of governments' policies on air pollution and high awareness among residents could be explored effectively to mitigate air pollution hazards.
AbstractIntroductionSignificant gaps persist in providing HIV treatment to all who are in need. Restricting care delivery to healthcare facilities will continue to perpetuate this gap in limited resource settings. We assessed a large‐scale community‐based programme for effectiveness in identifying people living with HIV and linking them to antiretroviral treatment.MethodsA retrospective secular trend study of 14 high burden local government areas of Nigeria was conducted in which two models of community antiretroviral treatment delivery were implemented: Model A (on‐site initiation) and Model B (immediate referral) clusters. Model A cluster offered services within communities, from HIV diagnosis to immediate antiretroviral therapy initiation and some follow‐up. Model B cluster offered services for HIV diagnosis up to baseline evaluation and provided referral for antiretroviral therapy initiation to nearest health facility providing HIV services. For controls, we selected and cluster‐matched 34 local government areas where community antiretroviral treatment delivery was not implemented. Outcomes of interest were: the number of people identified as HIV positive and the number of HIV‐positive individuals started on antiretroviral treatment; from June 2014 to May 2016. We used interrupted time‐series analysis to estimate outcome levels and trends across the pre‐and post‐intervention periods.ResultsBefore community antiretrovial treatment introduction, Model A cluster identified, per 100,000 catchment population, 500 HIV‐positives (95% CI: 399.66 to 601.41) and initiated 216 HIV‐positives on antiretroviral treatment (95% CI: 152.72 to 280.10). Model B cluster identified 32 HIV‐positives (95% CI: 25.00 to 40.51) and initiated 8 HIV‐positives on antiretroviral treatment (95% CI: 5.54 to 10.33). After commART introduction, Model A cluster showed an immediate significant increase in 744 HIV‐positive persons (p = 0.00, 95% CI: 360.35 to 1127.77) and 560 HIV‐positives initiated on treatment (p = 0.00, 95% CI: 260.56 to 859.64). Model B cluster showed an immediate significant increase in 30 HIV‐positive persons identified (p = 0.01, 95% CI: 8.38 to 51.93) but not in the number of HIV‐positives initiated on treatment. Model B cluster showed increased month‐on‐month trends of both outcomes of interest (3.4, p = 0.02, 95% CI: 0.44 to 6.38).ConclusionBoth community‐models had similar population‐level effectiveness for rapidly identifying people living with HIV but differed in effectively transitioning them to treatment. Comprehensiveness, integration and attention to barriers to care are important in the design of community antiretroviral treatment delivery.
OBJECTIVE: The aim of this study was to describe and evaluate the impact of the programme intervention of the Rivers State Antiretroviral Treatment (ART) Surge, a collaboration between the US President's Emergency Plan for AIDS Relief (PEPFAR) and the State Ministry of Health, to increase HIV case-finding and ART access in Rivers State, the state with the largest ART gap among people living with HIV (PWH) in Nigeria. DESIGN: During April 2019—September 2020, the intervention included six specific strategies: using local government area-level ART gap analysis to guide case-finding; expanding targeted community testing; tailoring comprehensive key population HIV services; engaging HIV treatment programme stakeholders; synchronizing team efforts; and using near real-time data for programme action. METHODS: Weekly reported facility and community data on tests conducted, PWH diagnosed, and PWH initiated on ART were aggregated. The total number of PWH maintained on ART was reported quarterly. RESULTS: During May 2019—September 2020, the weekly number of newly diagnosed PWH initiated on ART supported by PEPFAR in Rivers State increased from 82 to 1723. During October 2019—September 2020, the monthly number of people screened for HIV testing eligibility in the community increased from 44 000 to 360 000. During April 2019—September 2020, the total number of PWH on ART supported by PEPFAR statewide increased by 3.8 times, from 26 041 to 99 733. CONCLUSION: The strategies applied by HIV program stakeholders contributed to scale-up of PWH identification and ART linkage within the Rivers State ART Surge. Continued gains through time indicate the importance of the application of a quality improvement approach to maintain programme flexibility and effectiveness.
