Evidence map›Paper›PMID 42188852›Full record

ArticleTropical medicine and infectious disease2026

Challenges to 'Last Mile' Surveillance: Result of Programmatic Review of Integrated Skin NTDs Surveillance in Three Indonesian Districts.

Agrin Zauyani Putri, Ajib Diptyanusa, Regina Tiolina Sidjabat, Yatinawati Yatinawati, Yety Intarti, Irma Surya Kusuma, Khadijah Qurrata Ayun, Trijoko Yudopuspito, Muhammad Anwar Simanullang, Dwi Martanti and 3 more

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Agrin Zauyani PutriWorld Health Organization Indonesia Country Office, Jakarta 12940, Indonesia.ORCID 0009-0008-2095-5556
Ajib DiptyanusaWorld Health Organization Indonesia Country Office, Jakarta 12940, Indonesia.ORCID 0000-0002-1860-0923
Regina Tiolina SidjabatDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Yatinawati YatinawatiDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Yety IntartiDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Irma Surya KusumaDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Khadijah Qurrata AyunDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Trijoko YudopuspitoDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Muhammad Anwar SimanullangDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Dwi MartantiDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.
Achmad Naufal AzhariGlobal Institute for Disease Elimination, Abu Dhabi P.O. Box 764641, United Arab Emirates.ORCID 0009-0002-1257-9155
Herdiana HerdianaWorld Health Organization Indonesia Country Office, Jakarta 12940, Indonesia.
Yullita Evarini YuzwarDirectorate of Communicable Diseases, Ministry of Health of the Republic of Indonesia, Jakarta 12950, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indonesia is approaching the 'last mile' of elimination for several skin-related neglected tropical diseases (skin NTDs): notably, leprosy, yaws and lymphatic filariasis (LF). However, persistent transmission in selected districts highlights systemic weaknesses in surveillance. This paper aimed to analyse the health system, operational and sociocultural barriers to integrated skin NTDs surveillance in Indonesia. A descriptive analysis of the national programmatic review of integrated skin NTDs was conducted in 2024, using a mixed-methods descriptive evaluation based on routine data and thematic analysis. Comparative case studies of the Belitung, Mimika and Sorong Selatan Districts were conducted using routine data, programme reports, and structured observations at primary health centres, district health offices and laboratories. Qualitative insights from programme managers, health workers and communities were thematically analysed. Integrated surveillance was constrained by fragmented governance, inflexible financing, and uneven workforce capacity, alongside operational challenges like delayed detection and geographic inaccessibility. Furthermore, sociocultural factors such as stigma and population mobility, combined with zoonotic LF transmission in Belitung, significantly undermine effectiveness and long-term programmatic sustainability. Despite strong national policy commitment and substantial progress in disease elimination, significant gaps remain between integration frameworks and operational realities at the district level. Accelerating skin NTDs elimination in Indonesia requires context-adapted integration, strengthened digital surveillance, sustained subnational financing, workforce capacity building and, in zoonotic settings, a One Health approach. Addressing these factors is essential for achieving and sustaining elimination in the last mile. Indonesia has achieved substantial progress across major skin NTDs, while also revealing persistent gaps that threaten the sustainability of elimination gains.

Indexed as

Indonesiaintegrated surveillanceleprosylymphatic filariasisskin neglected tropical diseasesyaws

Identifiers

PMID42188852
PMCPMC13211722

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.