After the risk identification process implemented in 228 subwards of the city, Ramani Huria is now going further to map the lowest level of administrative system that exists in Tanzania. To do this we have partnered up with Data Zetu to map hyperlocal boundaries in Dar es Salaam for better decision making. Finding people with exact addresses is nearly impossible, as most part of the city is unplanned. Therefore, mapping Dar es Salaam to such a detailed level will allow us to address issues at a neighborhood level for the first time. This is very important and will be used in different levels for decision making from individuals to the government.

Dar es Salaam is divided into 5 municipalities, 92 wards, and approximately 452 subwards (a subward is also known as a “mtaa” in Swahili). Within an mtaa there are further divisions known as “shinas” (which translates roughly to “branches” in English). Shinas are sometimes also referred to as a “Ten Cell”, since originally these areas were home to ten households. Now, due to increases in population, it tends to be between 30 and 200 households per shina. Each shina is administered by a ‘mjumbe’ (plural ‘wajumbe’ in Swahili).

Shinas were originally a political construct, related to the organization of specific political parties. However, wajumbe are increasingly functioning as non-partisan public servants, often the first (and in some cases only) point of interaction between citizens and government. Though the political character of shinas has not entirely vanished, we are finding increasing acceptance amongst citizens and leaders (of all political stripes) of the utility of hyperlocal boundaries being mapped and known to all.

Ramani Huria and Data Zetu have aimed to conduct hyperlocal mapping within 84 subwards of Dar es  Salaam. From 13th September to now 128 hyperlocal boundary data have been collected and 106 have been cleaned and verified for final map production.

Ramani Huria Mapping Supervisor training university students on how to trace the hyperlocal boundaries and visualized map output. Photo credit: Godfrey Kassano-Ramani Huria

Methodology

  • A student will need a smartphone/Android phone installed with a revised version of Open Data Kit (ODK) which allows tracing lines/polygons easily.
  • Mjumbe, who is a shina leader, works with a student (mapper) to trace the boundary of his/her shina – also explaining the possible uses of shinas to enhance collaboration and participation. A student mapper with mjumbe will walk around the boundary creating a polygon-like structure then fill the right information on the survey such as number of shina, name of shina mjumbe and others.
  • After tracing the shina boundary, mjumbe and mapper use the the printed aerial imagery as a field paper to compare what has been traced from the field with the image to make sure they have traced the correct boundary.
  • Then students will send a form/survey to the server for further processes.
  • Data will be downloaded from the server which will be digitized through QGIS software, analysed and a hyperlocal boundary map produced.

Students with shina leaders verifying the correctness of traced boundary on ODK with the printed aerial image of the subward before sending to server. Photo credit: Godfrey Kassano-Ramani Huria

Community Insights

Community leaders had their opinions on the process of mapping shinas and they are expecting these data will be used to benefit them as a community, which is actually the goal of collecting them. Subward chairperson had some thoughts:

“With shina mapping it will help us to solve different problems in our communities since people will be clear with the administrative boundaries of their local leaders. Am happy to work with this organization and hopefully my representatives have fully participated and they are also happy for the work that your doing.” Abdallah M. Simbili, Chairperson Liwiti Subward.

Shina mjumbe in Msimbazi Subward – Tabata Ward showing the student mapper his shina boundary during field data collection. Photo credit: Godfrey Kassano-Ramani Huria

Possible uses of Hyperlocal Maps

  1. Help the ward officers to manage the areas by allowing the ward/subward/shina leaders to better understand the structure of their areas.
  2. In case of emergencies (e.g. fire outbreaks or flooding), shina maps can be of help in responding to these disasters as the location of the target is known.
  3. In hospitals, tracking people’s origin by identifying their shina number at the registry- this will help to track patients with diseases like cholera, or malnutrition in children.
  4. Shinas help the local people to know their representatives on the subward level since most of local problems are solved from the shina level.

Locating Malnourished Children and Help with Intervention

Malnutrition remains  one of Tanzania’s greatest  human development challenges. Despite  displaying seemingly ‘low’ and ‘acceptable’ rates of acute malnutrition, the burden of undernourished children is one of the highest in the East African Region. An estimated 450,000 children in Tanzania are acutely malnourished or weak, with over 100,000 suffering from the most severe form of acute malnutrition.

With one of the highest burdens of under nutrition in East and Southern Africa, it is not solely individual lives in Tanzania that are threatened, but also the economic advancement of the next generation that is at stake. Individuals – both adults and children – who experience varying levels of malnutrition will struggle to take advantage of opportunities in, for example, education and employment that would enable them to improve their livelihoods. Understanding the devastating impacts associated with societal malnourishment, particularly amongst children, it is absolutely crucial that appropriate measures are put in place by those actors who are in a position to do so to mitigate such consequences.

Case Study: Amana Regional Referral Hospital in Dar es Salaam, Tanzania

Through the Data Zetu program, our team has been able to utilize the shina data collected across 36  subwards to support the Amana Hospital – one of 4 referral hospitals in Dar es Salaam serving between 800 and 1200 people each day – in improving their methods for collecting patient location data and enhancing patient origin tracing. One pediatric doctor at Amana Hospital, Dr. Omari Mahiza, has a keen interest in implementing a system that would enable him to record and track the location of the malnourished children he treats. By knowing more precisely where his patients are coming from, he is able to investigate why and the reasons for children’s malnutrition from one community to another and, in turn, uncover in more detail the causes that lead to this condition from one household to another.

For the past few months, the Data Zetu team has been working with the IT company who built the electronic medical record system at Amana Hospital to incorporate shina data and nearby landmarks into the system. The new fields in the e-health registry will enable staff to record more precise location data of patients who visit the hospital and support Dr. Mahiza and his colleagues in being able to pinpoint the home address of their patients more easily. Whether the motive is to investigate specific cases of malnutrition and the habits that lead to this condition or to locate the source of a seasonal outbreak, such as cholera, within a community, shina maps allow for this to happen more efficiently within a given community.

The next step for the Amana Hospital intervention is to provide training and capacity-building to local staff, such as registration attendants and nurses, about the importance and value of recording detailed patient location data in the e-registry. To ensure there is genuine understanding and interest among staff to record patient location data more systematically, our team will focus on facilitating discussions and highlighting use cases that exemplify the role that maps and other spatial tools play in strengthening public health in communities.

Beyond health interventions Shina maps can also be used in disaster management, facilitating disaster response as well as increasing the overall flood resilience of communities. For example, having more granular level administrative boundaries can increase precision in identifying affected areas and speed up the distribution of relief resources during and immediately after a flood event.  Likewise having maps of shina boundaries may also prove useful to local administrators when directing and implementing infrastructural improvements.

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Utengenezaji wa ramani za mipaka ya shina.

Baada ya mchakato wa kutambua maeneo yaliyo kwenye hatari kwenye mitaa 228 ya jiji la Dar es Salaam, Mradi wa Ramani Huria unaenda mbali zaidi na kutengeneza ramani za maeneo ya chini kabisa ya utawala yaliyopo Tanzania (shina). tunafanya hivi kwa kushirikiana na mradi wa Data Zetu  kusaidia katika kufanya maamuzi. Kujua anwani za watu wanapoishi ni ngumu sana kwenye mji ambao haujapangwa. Hivyo kutengeneza ramani hizi kutasaidia kutatua matatizo mengi ya ramani kwa mara ya kwanza. Suala hili ni la muhimu sana na litatumika katika maamuzi kuanzia watu binafsi hadi ngazi ya serikali.

Dar es salaam imegawanyika katika manispaa tano, kata 92 na takribani mitaa 452. Ndani ya mtaa kuna mgawanyiko mwingine unaoitwa shina. Mashina pia hufahamika kama nyumba kumi, kwa kuwa mwanzoni mashina yalikuwa na nyumba kumii tu. Lakini kwa sasa kutokana na ongezeko la watu mijini mashina haya yana nyumba kuanzia 30 hadi 200. Kila shina huongozwa na mjumbe au balozi kwa vijijini.

Shina mwanzoni yalikuwa kisiasa,kulingana na mwongozo wa chama fulani. Hata hivyo wajumbe kwa sasawana kazi nyingi tofauti na za chama, kwanza ndio watu wa kwanza wanaounganisha wananchi na serikali. Japo suala la kisiasa katika shina halijapotea, ila tunaona wanaendelea kukubalika na wanajamii ana viongozi wa vyama vyote na matumizi ya mipaka hii ya shina kutengenezewa ramani na kufahamika kwa kila mmja.

Ramani Huria na Data zetu inalenga kutengeneza ramani hizi kwenye mitaa 84 ya Dar es salaam.  Tangu tarehe 13 septemba hadi sasa data za mashina 106 zimekusanywa na kuchakatwa kwa ajili ya utengenezaji wa ramani.

 Msimamizi wa utengenezaji wa ramani akitoa mafunzo kwa wanafunzi wa vyuo vikuu jinsi ya kukusanya mipaka na kuonyesha ramani ya mashina iliyokwisha japishwa; Picha- Ramani Huria.

Mbinu za Utengenezaji wa Ramani hizi.

  • Mwanafunzi atahitaji simu ya mkononi (Android) iliyowekwa programu ya ODK yenye marekebisho ambayo ina uwezo wa kuchukua taarifa za mistari kwa urahisi
  • Mjumbe, ambaye ni kiongozi wa shina atafanya kazi na mwanafunzi (aliyepata mafunzo) ili kupata mipaka ya shina- wakati huohuo mwanafunzi huyo atamueleza mjumbe juu ya matuizi mbalimbali ya ramani itakayo tengenezwa ili kuongeza ari ya usiriki. Mwanafunzi na mjumbe watazunguka katika mpaka wa shina na kujaza taarifa zote zinazotakiwa kama namba ya shina, jina la mjumbe nk.
  • Baada ya hatua hii, mjumbe pamoja na mwanafunzi watatumia picha ya anga iliyochapishwa ili kuhakikisha taarifa ya mipaka waliyokusanya kama ipo sahihi.
  • Mwanafunzi atatuma fomu/dodoso kwenye seva kwa ajili ya michakato mingine.
  • Taarifa hizo zitapakuliwa (download) kutoka kwenye seva ambazo zitafanyiwa kazi kwa kutumia programu ya QGIS, na kuchambuliwa ili kutengeneza ramani hizo za shina

Mwanafunzi akiwa na kiongozi wa shina wakihakiki mipaka iliyochukuliwa kwa kulinganisha picha ya anga na mpaka uliochorwa kwenye programu ya ODK; Picha Ramani Huria

Ufahamu wa Jamii.

Wanajamii walikuwa na mawazo tofauti tofauti kuhusu mchakato huu na wana matarajio makubwa kuwa data hizi zitatumika kwa ajili ya jamii husika, na hili ndilo lengo. Mwenywkiti wa mtaa wa Liwiti alikuwa na haya ya kusema:

“Ramani za mashina zitasaidia kutatua matatizo mbalimbali kwa kuwa watu watafahamu vizuri mipaka yao. Nina furaha kubwa kufanya kazi na shirika hili na ni matumaini yangu wawakilishi wangu amewapa ushirikiano mkubwa, na wamefurahi kufanya kazi nanyie” Abdallah M. Simbili, mwenyekiti wa mtaa- Liwiti

Mjumbe wa mtaa wa msimbazi- Kata ya Tabata akimuonyesha mwanafunzi mpaka wa shina lake wakati wa ukusanyaji taarifa. Picha: Ramani Huria.

Matumizi ya Ramani Hizi.

  • Itawasaidia watendaji wa mitaa kuelewa vizuri maeneo wanayo ongoza.
  • Kipindi cha dharura (kama moto au mafuriko), ramani hizi zinaweza kutuikaa kutoa misaada ya haraka kwa kuwa eneo halisi la tukio linafahamika.
  • Kwenye hospital, kujua watu wanapotoka kwa kujua namba za mashina katika programu ya usajili kuweza kujua ueneaji wa magonjwa kama kipindupindu na utapiamlo kwa watoto.
  • Kusaidia jamii kujua wawakilishi wao katika jamii kwa kuwa migogoro mingi hutatuliwa na viongozi hawa.

Kufahamu Maeneo ya Watoto wenye Utapia mlo na Kusaidia kwenye Harakati

Utapiamlo bado ni mojawapo ya changamoto kubwa za maendeleo ya binadamu Tanzania. Licha ya kuonekana/kusadikika viwango vya “chini” na vya “kukubalika” vya utapiamlo mkubwa, mzigo wa watoto wasio na chakula ni mkubwa Afrika Mashariki. Inakadiriwa watoto 450,000 nchini Tanzania wamepungukiwa na hawana nguvu, wakati zaidi ya watoto 100,000 huteseka kutokana na aina kali zaidi ya utapiamlo mkubwa.

Pamoja na mzigo mkubwa wa lishe Afrika Mashariki na Kusini mwa Afrika, sio tu maisha ya mtu binafsi nchini Tanzania ambayo yanatishiwa, lakini pia maendeleo ya kiuchumi ya kizazi kijacho yanahusika. Watu – wote wazima na watoto – ambao wana uzoefu wenye uzoefu tofauti tofauti wa janga la utapiamlo wajitahidi kutumia fursa, kwa mfano, elimu na ajira ambayo itawawezesha kuboresha maisha yao. Kuelewa athari mbaya zinazohusiana upungufu wa chakula, hususani miongoni mwa watoto, ni muhimu sana na hatua zinazofaa zichukuliwe na watendaji ambao wana uwezo wa kufanya hivyo ili kupunguza madhara hayo.

Eneo la mfano; Hospitali ya Rufaa- Amana Dar es Salaam, Tanzania

Kupitia mradi wa takwimu za Data Zetu, timu yetu imeweza kutumia data ya mipaka ya shina iliyokusanywa kwenye mitaa36 ili kuunga mkono Hospitali ya Amana – moja kato ya hospitali nne za rufaa Dar es Salaam zinazohudumia watu kati ya 800 na 1200 kila siku – katika kuboresha njia zao za kukusanya data ya eneo la mgonjwa na kuimarisha ufuatiliaji wa taarifa za mgonjwa anapotoka. Daktari mmoja wa watoto katika Hospitali ya Amana, Dk. Omari Mahiza, ana hamu kubwa ya kutekeleza mfumo ambao utamwezesha kurekodi na kufuatilia maeneo wanayotoka watoto wenye utapiamlo anaowatibu. Kwa kujua zaidi ambapo wagonjwa wake wanatoka, anaweza kuchunguza kwa nini na sababu za utapiamlo wa watoto kutoka kwenye jamii moja hadi nyingine na, kwa upande mwingine, kujua kwa undani sababu zinazosababisha hali hii kutoka kaya moja hadi nyingine.

Kwa miezi michache iliyopita, timu ya Data Zetu imekuwa ikifanya kazi na kampuni ya IT ambayo imejenga mfumo wa kurekodi wagonjwa kwa njia ya kielektroniki katika Hospitali ya Amana ili kuingiza data ya shina na alama muhimu zinazotambulisha eneo (landmarks) kwenye mfumo huo. Sehemu mpya itakayoongezwa katika programu hiyo ya usajili wa kielektriniki utawawezesha wafanyakazi kurekodi data sahihi ya eneo la wagonjwa ambao wamefika hospitalini na kumsaidia Dk. Mahiza na wenzake kuwa na uwezo wa kubainisha anwani ya wagonjwa wao kwa urahisi. Ikiwa lengo ni kuchunguza matukio maalum ya utapiamlo na tabia zinazosababisha hali hii au kupata chanzo cha kuzuka kwa magonjwa ya msimu, kama vile kipindupindu, ramani za shina zitawezesha hili lifanyike kwa ufanisi zaidi katika jamii husika.

Hatua inayofuata kwa Hospitali ya Amana ni kutoa mafunzo na kujenga uwezo kwa wafanyakazi wa ndani, kama wahudumu wa usajili na wauguzi, kuhusu umuhimu na thamani ya kurekodi data ya eneo  anapotoka mgonjwa wakati wa usajili. Ili kuhakikisha kuna uelewa wa kweli na maslahi kwa wafanyakazi wa kurekodi data ya eneo wanapotoka kwa ufanisi zaidi, timu yetu itazingatia kuwezesha majadiliano na kuonyesha matumizi ya ramani kwa kuonyesha mifano dhahiri ya jinsi gani taarifa hizi zinaweza kuimarisha huduma za afya kwa jamii.

Zaidi ya mipango ya afya, ramani pia zinaweza kutumika katika usimamizi wa maafa, kuwezesha mipango ya haraka ya kukabiliana na maafa na kuongeza ustawi katika kupambana na mafuriko kwa jamii. Kwa mfano, kuwa na mipaka ya utawala katika ngazi ya chini zaidi inaweza kuongeza usahihi katika kutambua maeneo yaliyoathirika na kuharakisha usambazaji wa misaada wakati na baada mafuriko. Vivyo hivyo kuwa na ramani za mipaka ya shina inaweza kuwa na manufaa kwa watendaji wa mitaa wakati wa kuongoza na kutekeleza maboresho ya miundombinu.