Development and Evaluation of a Mobile App for Guiding Rabies Prophylaxis among Health-Care Professionals in India.

BACKGROUND: The majority of dog-mediated human rabies as well as rabies-related human deaths are reported from low-income countries of Asia and Africa where access to appropriate postexposure prophylaxis is limited or nonexistent. At present, India is second in position after China in terms of having the highest number of mobile phone users surpassing the United States. OBJECTIVE: In this context, we decided to develop a user-friendly, technically less demanding, mobile App for health-care professionals, which is accessible even without Internet facility. METHODOLOGY: The current study was conducted in four phases, namely assemblage of informational contents on rabies, development of the software, assessment of the reliability of the questionnaire tool and evaluation of the mobile App. The evaluation of App was conducted among physicians and nursing staffs in a tertiary care referral hospital. RESULTS: The information content was prepared referring national and international guidelines. The App was designed with Hypertext Markup Language 5 for presentation on the World Wide Web and was coined the name of "RabiApp." This is a hybrid App of the native App and web App, allowing the information to be stored in the local server. The mobile App was assessed using a validated and reliable questionnaire after confirming the internal consistency by means of Cronbach's alpha. The overall Cronbach's alpha for the main scale was 0.788, which was a respectable score. CONCLUSION: The developed App is a user-friendly, easily accessible platform, which can help health-care professionals in making decisions regarding rabies wound management, treatment, and prophylaxis.

Spatial distribution of Haemaphysalis species ticks and human Kyasanur Forest Disease cases along the Western Ghats of India, 2017-2018.

Kyasanur Forest Disease (KFD) is a viral haemorrhagic fever, transmitted to humans and other hosts by a tick vector of genus Haemaphysalis. It affects 400-500 people annually in the Western Ghats region of India through spring to summer season. To understand the species composition, distribution, and abundance of Haemaphysalis ticks in endemic taluks (sub-districts) of India, a surveillance for ticks was conducted between October 2017 and January 2018. In total 105 sites were selected based on grid sampling from five taluks representing five KFD endemic states in south India. A sum of 8373 ticks were collected by using standard flagging method. The study showed a wide distribution of host seeking tick species among the selected taluks, wherein Haemaphysalis spinigera was predominant in 3/5 taluks, Haemaphysalis bispinosa in 1/5 taluks, and both the species in 1/5 taluks. Further, the H. spinigera abundance was categorised and compared with the incidence of human cases during the same season. The grids with very high and high H. spinigera abundance had 70% of the 205 human cases reported. This method of tick surveillance could be efficiently used as a standard model for KFD transmission risk assessment and prediction of impending outbreaks.

Impact of involvement of non-formal health providers on TB case notification among migrant slum-dwelling populations in Odisha, India.

BACKGROUND: Migrant labourers living in the slums of urban and industrial patches across India make up a key sub-population so far controlling Tuberculosis (TB) in the country is concerned. This is because many TB patients from these communities- remain under reached by the Revised National Tuberculosis Control Programme (RNTCP) of India. This marginalized community usually seeks early-stage healthcare from "friendly neighbourhood" non-formal health providers (NFHPs). Because, RNTCP has limited capacity to involve the NFHPs, an implementation research project was conceived, whereby an external partner would engage with the NFHPs to enable them to identify early TB symptomatics from this key sub-population who would be then tested using Xpert MTB/RIF technology. Diagnosed TB cases among them would be referred promptly to RNTCP for treatment. This paper aimed to describe the project and its impact. METHODS: Adopting a quasi-experimental before-after design, four RNTCP units from two major urban-industrial areas of Odisha were selected for intervention, which spanned five quarters and covered 151,400 people, of which 30% were slum-dwelling migrants. Two similar units comprised the control population. The hypothesis was, reaching the under reached in the intervention area through NFHPs would increase TB notification from these traditionally under-notifying units. RNTCP notification data during intervention was compared with pre-intervention era, adjusted for contemporaneous changes in control population. RESULTS: The project detected 488 Xpert+ TB cases, of whom 466 were administered RNTCP treatment. This translated into notification of additional 198 new bacteriologically positive cases to RNTCP, a 30% notification surge, after adjustment for 2% decline in control. This meant an average quarterly increase in notification of 41.20(20.08, 62.31; p<0.001) cases. The increase was immediate, evident from the rise in level in the time series analysis by 50.42(10.28, 90.55; p = 0.02) cases. CONCLUSION: Engagement with NFHPs contributed to an increase in TB notification to RNTCP from key under reached, slum-dwelling migrant populations.