RESUMEN
The global disruption caused by the SARS-CoV-2 pandemic profoundly affected healthcare systems, particularly impacting People Living with Human Immunodeficiency Virus (PLHIV). This study investigated the repercussions of SARS-CoV-2 infection on access to human immunodeficiency virus (HIV) care and antiretroviral therapy (ARV) in Malawi, emphasizing the critical need to sustain uninterrupted HIV services during health crises. Employing mobile phone-based syndromic surveillance, this study assessed the influence of SARS-CoV-2 on healthcare access for PLHIV across nine districts supported by the Elizabeth Glaser Pediatric AIDS Foundation (EGPAF). Telephone-based interviews were conducted to analyze demographic factors, challenges encountered in accessing HIV services, and adherence to ARV medication, illuminating the pandemic's effects on ARV uptake. The findings revealed that approximately 3.9% (n = 852) of 21981 participants faced obstacles in accessing crucial HIV services during the pandemic, resulting in approximately 1.2% (n = 270) reporting multiple missed doses of ARV medication in a particular month. After adjusting for various variables, males exhibited a higher likelihood of service inaccessibility than females (Adjusted Odds Ratio [AOR] = 1.39, 95% CI: 1.20-1.60, p < 0.001). Age also played a significant role, with individuals aged 35-49 years and those aged 50 years or older demonstrating reduced odds of service failure compared with the reference group aged 18-34 years. Only a small proportion of PLHIV reported disruption in HIV care access, which may be because Malawi did not initiate stringent travel restrictions during the SARS-CoV-2 pandemic. Nonetheless, enduring challenges have been observed in retaining younger PLHIV and men in HIV-care settings. Thus, targeted strategies are imperative for effectively engaging and sustaining these populations in HIV care during and after health crises.
RESUMEN
INTRODUCTION: Monitoring the SARS-CoV-2 pandemic in low-resource countries such as Malawi requires cost-effective surveillance strategies. This study explored the potential utility of phone-based syndromic surveillance in terms of its reach, monitoring trends in reported SARS-CoV-2-like/influenza-like symptoms (CLS/ILS), SARS-CoV-2 testing and mortality. METHODS: Mobile phone-based interviews were conducted between 1 July 2020 and 30 April 2022, using a structured questionnaire. Randomly digital dialled numbers were used to reach individuals aged ≥18 years who spoke Chichewa or English. Verbal consent was obtained, and trained research assistants with clinical and nursing backgrounds collected information on age, sex, region of residence, reported CLS/ILS in the preceding 2 weeks, SARS-CoV-2 testing and history of household illness and death. Data were captured on tablets using the Open Data Kit database. We performed a descriptive analysis and presented the frequencies and proportions with graphical representations over time. FINDINGS: Among 356 525 active phone numbers, 138 751 (38.9%) answered calls, of which 104 360 (75.2%) were eligible, 101 617 (97.4%) consented to participate, and 100 160 (98.6%) completed the interview. Most survey respondents were aged 25-54 years (72.7%) and male (65.1%). The regional distribution of the respondents mirrored the regional population distribution, with 45% (44%) in the southern region, 41% (43%) in the central region and 14% (13%) in the northern region. The reported SARS-CoV2 positivity rate was 11.5% (107/934). Of the 7298 patients who reported CLS/ILS, 934 (12.8%) reported having undergone COVID-19 testing. Of the reported household deaths, 47.2% (982 individuals) experienced CLS/ILS 2 weeks before their death. CONCLUSION: Telephonic surveillance indicated that the number of SARS-CoV-2 cases was at least twice as high as the number of confirmed cases in Malawi. Our findings also suggest a substantial under-reporting of SARS-CoV-2-related deaths. Telephonic surveillance has proven feasible in Malawi, achieving the ability to characterise SARS-CoV-2 morbidity and mortality trends in low-resource settings.