The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of the use of mobile phone data in outbreak response. Mobile phone data have been proposed to monitor effectiveness of non-pharmaceutical interventions, to assess potential drivers of spatiotemporal spread, and to support contact tracing efforts. While these data may be an important part of COVID-19 response, their use must be considered alongside a careful understanding of the behaviors and populations they capture. Here, we review the different applications for mobile phone data in guiding and evaluating COVID-19 response, the relevance of these applications for infectious disease transmission and control, and potential sources and implications of selection bias in mobile phone data. We also discuss best practices and potential pitfalls for directly integrating the collection, analysis, and interpretation of these data into public health decision making.

Objective To characterize prevalence, incidence and associated correlates of HIV infection among MSM in 12 cities across India. Design Cross-sectional sample using respondent-driven sampling (RDS) from September 2012-June 2013 Methods A total 12,022 MSM (∼1000 per city) were recruited. Participants had to be ≥18 years, self-identify as male and report oral/anal intercourse with a man in the prior year. HIV infection was diagnosed using 3 rapid tests. Cross-sectional HIV incidence was estimated using a multi-assay algorithm. All estimates incorporate RDS-II weights. Results Median age was 25 years, 45.0% self-identified as “panthi” (predominantly penetrative anal intercourse) and 30.6% reported being married to a woman. Weighted HIV prevalence was 7.0% (range: 1.7% to 13.1%). In multivariate analysis, significantly higher odds of HIV infection was observed among those who were older, had lower educational attainment, were practicing purely receptive anal sex or both receptive and penetrative sex and those who were HSV-2 positive. Of 1,147 MSM who tested HIV positive, 53 were identified as recent HIV infections (annualized incidence = 0.87%; range = 0 to 2.2%). In multivariate analysis, injecting drugs in the prior 6 months, syphilis, higher number of male partners and fewer female partners were significantly associated with recent HIV infection. Conclusions We observed a high burden of HIV among MSM in India with tremendous diversity in prevalence, incidence and risk behaviors. In particular, we observed high incidence in areas with relatively low prevalence suggesting emerging epidemics in areas not previously recognized to have high HIV burden.

BackgroundDengue and chikungunya are rapidly expanding viruses transmitted by mosquitoes of the genus Aedes. Few epidemiological studies have examined the extent of transmission of these infections in South India despite an increase in the number of reported cases, and a high suitability for transmission.Methods and findingsWe conducted a household-based seroprevalence survey among 1010 individuals aged 5-40 years living in fifty randomly selected spatial locations in Chennai, Tamil Nadu. Participants were asked to provide a venous blood sample and to complete a brief questionnaire with basic demographic and daily activity information. Previous exposure to dengue and chikungunya was determined using IgG indirect ELISA (Panbio) and IgG ELISA (Novatec), respectively. We used this data to estimate key transmission parameters (force of infection and basic reproductive number) and to explore factors associated with seropositivity. While only 1% of participants reported history of dengue and 20% of chikungunya, we found that 93% (95%CI 89-95%) of participants were seropositive to dengue virus, and 44% (95%CI 37-50%) to chikungunya. Age-specific seroprevalence was consistent with long-tem, endemic circulation of dengue and suggestive of epidemic chikungunya transmission. Seropositivity to dengue and chikungunya were significantly correlated, even after adjusting for individual and household factors. We estimate that 23% of the susceptible population gets infected by dengue each year, corresponding to approximately 228,000 infections. This transmission intensity is significantly higher than that estimated in known hyperendemic settings in Southeast Asia and the Americas.ConclusionsThese results provide unprecedented insight into the very high transmission potential of dengue and chikungunya in Chennai and underscore the need for enhanced surveillance and control methods.

Objective-To estimate the prevalence of HIV and hepatitis C virus (HCV) and hepatitis B virus (HBV) co-infection as well as current risk behaviors among HIV positive and negative injection drug users (IDUs) in Chennai, India. Methods

Summary Background People who inject drugs (PWID) are at increased risk for HIV and hepatitis C virus (HCV) infection and also have high levels of homelessness and unstable housing. We assessed whether homelessness or unstable housing is associated with an increased risk of HIV or HCV acquisition among PWID compared with PWID who are not homeless or are stably housed. Methods In this systematic review and meta-analysis, we updated an existing database of HIV and HCV incidence studies published between Jan 1, 2000, and June 13, 2017. Using the same strategy as for this existing database, we searched MEDLINE, Embase, and PsycINFO for studies, including conference abstracts, published between June 13, 2017, and Sept 14, 2020, that estimated HIV or HCV incidence, or both, among community-recruited PWID. We only included studies reporting original results without restrictions to study design or language. We contacted authors of studies that reported HIV or HCV incidence, or both, but did not report on an association with homelessness or unstable housing, to request crude data and, where possible, adjusted effect estimates. We extracted effect estimates and pooled data using random-effects meta-analyses to quantify the associations between recent (current or within the past year) homelessness or unstable housing compared with not recent homelessness or unstable housing, and risk of HIV or HCV acquisition. We assessed risk of bias using the Newcastle-Ottawa Scale and between-study heterogeneity using the I 2 statistic and p value for heterogeneity. Findings We identified 14 351 references in our database search, of which 392 were subjected to full-text review alongside 277 studies from our existing database. Of these studies, 55 studies met inclusion criteria. We contacted the authors of 227 studies that reported HIV or HCV incidence in PWID but did not report association with the exposure of interest and obtained 48 unpublished estimates from 21 studies. After removal of duplicate data, we included 37 studies with 70 estimates (26 for HIV; 44 for HCV). Studies originated from 16 countries including in North America, Europe, Australia, east Africa, and Asia. Pooling unadjusted estimates, recent homelessness or unstable housing was associated with an increased risk of acquiring HIV (crude relative risk [cRR] 1·55 [95% CI 1·23–1·95; p=0·0002]; I 2 = 62·7%; n=17) and HCV (1·65 [1·44–1·90; p<0·0001]; I 2 = 44·8%; n=28]) among PWID compared with those who were not homeless or were stably housed. Associations for both HIV and HCV persisted when pooling adjusted estimates (adjusted relative risk for HIV: 1·39 [95% CI 1·06–1·84; p=0·019]; I 2 = 65·5%; n=9; and for HCV: 1·64 [1·43–1·89; p<0·0001]; I 2 = 9·6%; n=14). For risk of HIV acquisition, the association for unstable housing (cRR 1·82 [1·13–2·95; p=0·014...

Introduction The concept of community viral load as a modifiable driver of new HIV infections has attracted substantial attention. While several measures of community viral load have been proposed, none have been empirically compared as correlates of HIV incidence. Methods In a sample of 26,503 people who inject drugs (PWID) and men who have sex with men (MSM) recruited using respondent-driven sampling from 27 sites in India, we assessed site-level correlations between five community-based measures of HIV control and HIV incidence - estimated with a multi-assay algorithm. Antiretroviral therapy (ART) use was self-reported. All subjects were tested for HIV, with additional testing in HIV-positive participants. Population viral load (PVL), aware viral load (AVL), and in-care viral load (ICVL), were the mean log10 HIV RNA among all HIV-positive persons, those aware of their diagnosis (but not necessarily in care), and those in care, respectively. Population ART coverage was defined as the proportion of HIV-positive subjects taking ART and prevalence of viremia as the prevalence of HIV-positive individuals with HIV RNA>150 copies/ml. Findings Prevalence of viremia (ρ=0.81) was significantly more correlated with HIV incidence than all other measures including ICVL (ρ=0.29), AVL (ρ=0.59), PVL (ρ=0.51) and population ART coverage (ρ=−0.54). In regression analysis, a reduction in prevalence of viremia of 4.34% was associated with a 1% decrease in HIV incidence. Interpretation Prevalence of viremia, which incorporates information on HIV prevalence and viremia, had the strongest correlation with HIV incidence in this sample and may be a useful measure of program effectiveness. Funding US National Institutes of Health, Elton John AIDS Foundation

In India, men who have sex with men (MSM) remain hidden because anal intercourse was criminalized and marriage socially required. We characterize HIV/STI prevalence among MSM in Tamil Nadu. Eligible participants were recruited using respondent-driven sampling in eight cities (n = 721). Median age was 28, 34% were married and 40% self-identified as homosexual. Median number of male partners in the prior year was 15; 45% reported any unprotected anal intercourse (UAI). HIV, herpes simplex virus-2 (HSV-2), chronic hepatitis B virus (HBV) and syphilis prevalence were 9, 26, 2 and 8%, respectively; among married men, all were higher: 14, 32, 3 and 11% (p < 0.01 for HIV and HSV-2). Less education, HSV-2, more male partners, UAI and not having a main male partner were associated with HIV prevalence. The high STI and UAI prevalence may lead to a burgeoning HIV epidemic among MSM, reinforcing the need for focused preventive measures incorporating complex circumstances.

Summary Anemia accelerates disease progression and increases mortality among HIV-infected individuals. Few studies have characterized this problem in developing countries. Hemoglobin values of adults presenting to an HIV tertiary care center in India between 1996 and 2007 were collected (n=6996). Multivariate logistic regression analysis was performed to examine associations among anemia, HIV progression, and co-morbidities. Overall anemia prevalence was 41%. Twenty percent of patients with CD4 counts >500 cells/µL were anemic, compared to 64% of those with CD4 counts <100 cells/µL (p<0.001). In multivariate analysis, CD4 count <100 cells/µL (OR:5.0, CI:4.0–6.3), underweight body-mass index (OR:4.8, CI:3.6–6.5), female gender (OR:3.1, CI:2.8–3.6), and tuberculosis (OR:1.6, CI:1.4–1.8) were significantly associated with anemia. In this setting, management of anemia should focus on antiretroviral therapy, nutritional supplementation, and tuberculosis control. The high anemia prevalence among patients meeting criteria for antiretroviral therapy highlights the need for increased access to non-AZT nucleoside reverse transcriptase inhibitors in developing countries.